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Insurance Agent jobs at Mass Markets - 117 jobs

  • Entry-Level Cable Sales Agent (Full-Time)

    Massmarkets 3.5company rating

    Insurance agent job at Mass Markets

    ENTRY-LEVEL CABLE SALES AGENT (FULL-TIME) We are looking for sales representatives to support consumer and business outbound sales programs for commercial clients. In this role, you will make outbound calls to prospects and customers, acquire new customers, upsell existing ones, and provide customer information on client products and services. This is an excellent opportunity for you to start your career, and with our industry-leading training, you are sure to succeed. We offer many advancement opportunities, including Supervisor, Trainer, Talent Acquisition, and Operations Management. To be considered for this position, you must complete a full application on our company careers page, including screening questions and a brief pre-employment test. * ------------- POSITION RESPONSIBILITIES WHAT DOES SOMEONE IN THIS ROLE ACTUALLY DO? This role requires you to interact with hundreds of customers each week across the country to resolve support issues, sell new products and services, and ensure a best-in-class customer experience. In addition to being the best in the business when it comes to customer satisfaction, you will need to be a confident, fully engaged team player who is dedicated to bringing a positive and enthusiastic outlook to work each day. Essential Duties * Handle inbound and outbound contacts in a courteous, timely, and professional manner * Utilize knowledge base and training to accurately answer customer questions and sell appropriate products and services * Listen to customers, understand their needs, and resolve customer issues * Research systems to find missing information; coordinate with other departments to resolve issues as applicable * Utilize systems and technology to complete account management tasks * Accurately document and process customer orders in appropriate systems * Follow all required scripts, policies, and procedures * Comply with requirements surrounding confidential information and personal information * Escalate customer issues to the appropriate staff and managerial for resolution as needed * Attend meetings and training and review all new training material to stay up-to-date on changes to program knowledge, systems, and processes * Adhere to all attendance and work schedule requirements CANDIDATE QUALIFICATIONS WONDER IF YOU ARE A GOOD FIT? We provide all new employees with world-class training, so all positive, driven, and confident applicants are encouraged to apply. This position relies on building relationships and turning the knowledge you gain in training into customer wins. Ideal candidates for this position are highly motivated, energetic, and dedicated. Qualifications * Must be 18 years of age or older * High school diploma or equivalent * Excellent organizational, written, and oral communication skills * The ability to type swiftly and accurately (20+ words a minute) * Basic knowledge of Microsoft Office Suite (Excel, PowerPoint, Word, Outlook) * Basic understanding of Windows operating system * Highly reliable with the ability to maintain regular attendance and punctuality * The ability to evaluate, troubleshoot, and follow-up on customer issues * An aptitude for conflict resolution, problem-solving, and negotiation * Must be customer service oriented (empathetic, responsive, patient, and conscientious) * Ability to multi-task, stay focused, and self-manage * Strong team orientation and customer focus * The ability to thrive in a fast-paced environment where change and ambiguity prevalent * Excellent interpersonal skills and the ability to build relationships with your team and customers Preferred (Not Required) * One (1) year of experience in customer service, technical support, inside sales, back-office, chat, or administrative support in a contact center environment * State or Federal work experience CONDITIONS OF EMPLOYMENT All MCI Locations * Must be authorized to work in the country where the job is based. Subject to the program and location of the position * Must be willing to submit up to a LEVEL II background and/or security investigation with a fingerprint. Job offers are contingent on background/security investigation results. * Must be willing to submit to drug screening. Job offers are contingent on drug screening results. COMPENSATION DETAILS WANT AN EMPLOYER THAT VALUES YOUR CONTRIBUTION? At MCI, we believe that your hard work deserves recognition and reward. Our compensation and benefits packages are designed to be competitive and to grow with you over time. Starting compensation is based on experience, and we offer a variety of benefits and incentives to support and reward our team members. What You Can Expect from MCI: We understand the importance of balance and support, which is why we offer a variety of benefits and incentives that go beyond a paycheck. Our team members enjoy: * Paid Time Off: Earn PTO and paid holidays to take the time you need. * Incentives & Rewards: Participate in daily, weekly, and monthly contests that include cash bonuses and prizes ranging from electronics to dream vacations and sometimes even cars! * Health Benefits: Full-time employees are eligible for comprehensive medical, dental, and vision coverage after 60 days of employment, and all employees have access to MEC medical plans after just 30 days. Benefit options vary by location. * Retirement Savings: Secure your future with retirement savings programs, where available. * Disability Insurance: Short-term disability coverage is available to help protect you during unexpected challenges. * Life Insurance: Access life insurance options to safeguard your loved ones. * Supplemental Insurance: Accident and critical illness insurance * Career Growth: With a focus on internal promotions, employees enjoy significant advancement opportunities. * Paid Training: Learn new skills while earning a paycheck. * Fun, Engaging Work Environment: Enjoy a team-oriented culture that fosters collaboration and engagement. * Casual Dress Code: Be comfortable while you work. Compensation & Benefits that Fit Your Life MCI takes pride in tailoring our offerings to fit the needs of our diverse team across subsidiaries and locations. While specific benefits and incentives may vary by geography, the core of our commitment remains the same: rewarding effort, providing growth opportunities, and creating an environment where every employee feels valued. If you're ready to join a company that recognizes your contributions and supports your growth, MCI is the place for you. Apply today! PHYSICAL REQUIREMENTS This job operates in a professional office environment. While performing the duties of this job, the employee will be largely sedentary and will be required to sit/stand for long periods while using a computer and telephone headset. The employee will be regularly required to operate a computer and other office equipment, including a phone, copier, and printer. The employee may occasionally be required to move about the office to accomplish tasks; reach in any direction; raise or lower objects, move objects from place to place, hold onto objects, and move or exert force up to forty (40) pounds. REASONABLE ACCOMMODATION Consistent with the Americans with Disabilities Act (ADA), it is the policy of MCI and its affiliates to provide reasonable accommodations when requested by a qualified applicant or employee with a disability unless such accommodations would cause undue hardship. The policy regarding requests for reasonable accommodation applies to all aspects of employment. If reasonable accommodations are needed, please contact Human Resources. DIVERSITY AND EQUALITY At MCI and its subsidiaries, we embrace differences and believe diversity benefits our employees, company, customers, and community. All aspects of employment at MCI are based solely on a person's merit and qualifications. MCI maintains a work environment free from discrimination, where employees are treated with dignity and respect. All employees are responsible for fulfilling MCI's commitment to a diverse and equal-opportunity work environment. MCI does not discriminate against any employee or applicant on the basis of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations, and ordinances. MCI will consider qualified applicants with criminal histories for employment in a manner consistent with local and federal requirements. MCI will not tolerate discrimination or harassment based on any of these characteristics. We adhere to these principles in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, social and recreational programs, and discipline. In addition, MCI's policy is to provide reasonable accommodation to qualified employees with protected disabilities to the extent required by applicable laws, regulations, and ordinances where an employee works. ABOUT MCI (PARENT COMPANY) MCI helps customers take on their CX and DX challenges differently, creating industry-leading solutions that deliver exceptional experiences and drive optimal performance. MCI assists companies with business process outsourcing, staff augmentation, contact center customer services, and IT Services needs by providing general and specialized hosting, software, staff, and services. In 2019, Marlowe Companies Inc. (MCI) was named by Inc. Magazine as Iowa's Fastest Growing Company in the State of Iowa and was named the 452nd Fastest Growing Privately Company in the USA, making the coveted top 500 for the first time. MCI's subsidiaries had previously made Inc. Magazine's List of Fastest-Growing Companies 15 times, respectively. MCI has ten business process outsourcing service delivery facilities in Georgia, Florida, Texas, New Mexico, California, Kansas, Nova Scotia, South Africa, and the Philippines. Driving modernization through digitalization, MCI ensures clients do more for less. MCI is the holding company for a diverse lineup of tech-enabled business services operating companies. MCI organically grows, acquires, and operates companies that have synergistic products and services portfolios, including but not limited to Automated Contact Center Solutions (ACCS), customer contact management, IT Services (IT Schedule 70), and Temporary and Administrative Professional Staffing (TAPS Schedule 736), Business Process Management (BPM), Business Process Outsourcing (BPO), Claims Processing, Collections, Customer Experience Provider (CXP), Customer Service, Digital Experience Provider (DXP), Account Receivables Management (ARM), Application Software Development, Managed Services, and Technology Services, to mid-market, Federal & enterprise partners. MCI now employs 10,000+ talented individuals with 150+ diverse North American client partners across the following MCI brands: MCI BPO, MCI BPOaaS, MarketForce, GravisApps, Gravis Marketing, MarchEast, Mass Markets, MCI Federal Services (MFS), OnBrand24, The Sydney Call Center, Valor Intelligent Processing (VIP), BYC Aqua, EastWest BPO, TeleTechnology, and Vinculum. DISCLAIMER The purpose of the above is to provide potential candidates with a general overview of the role. It's not an all-inclusive list of the duties, responsibilities, skills, and qualifications required for the job. You may be asked by your supervisors or managers to perform other duties. You will be evaluated in part based on your performance of the tasks listed in this . The employer has the right to revise this at any time. This job description is not an employment contract, and either you or the employer may terminate employment at any time for any reason. Qualifications Entry-Level
    $30k-68k yearly est. Auto-Apply 60d+ ago
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  • Right of Way Agent I - Sarasota, FL

    Bowman 3.5company rating

    Tampa, FL jobs

    **Short Description** Bowman has an opportunity for a Right of Way Agent I / Customer Outreach Specialist I to join our team in Sarasota, Florida. At Bowman, we believe in creating opportunities for aspiring people to thrive and achieve ambitious goals. That's why a career at Bowman is more than a job. It is an opportunity to be part of a diverse and engaged community of professionals, to be treated as a respected and valued member of a motivated team and to be empowered to do exceptional work that advances the best interest of everyone involved. We recognize the importance of creating a work environment that is both rewarding to our employees and supportive of our unwavering commitment to provide unparalleled service to our clients. **Purpose** Interact and communicate directly with the public daily to support Bowman's continued expansion and growth. **Responsibilities** **Leadership and Direction** + Perform work under direct supervision of an experienced professional and follow established procedures and clearly defined processes. Receive direction on all aspects of assignments, specific tasks and how to execute. Work is thoroughly reviewed by more senior staff to ensure application of sound techniques and principles. **At the Operational and Company Level** + Assist with the marketing of the firm's capabilities to establish new clients and enhance relationships. **Do the Work** + Perform limited aspects of right-of-way and real estate related activities, assisting in negotiating favorable terms to various land and right-of-way related agreements secured on behalf of the company's client. + Identify land ownership from public records. + Under general supervision, research, review, and analyze land titles of lesser complexity. Seek to identify defects. + Under general supervision, negotiate the acquisition of right-of-way, easements, and other property interests of lesser complexity, on behalf of the company's client. + Under general supervision, review, prepare, analyze, and interpret all Land and Right-of-Way related agreements, deeds, easements, leases, permits, and licenses. + Maintain up-to-date records of contact attempts and parcel-related data in company database. + Attend team meetings, as necessary. **Success Metrics and Competencies** + Strong sense of urgency in responding to constituents. + Effective verbal and written communication skills. + Strong work ethic and commitment to quality. + Strong marketing/business development skills and mindset. + Commitment to promoting the reputation of the company through quality of work. + Commitment to driving profitability and growth. + Effective working relationship with internal leaders and peers, as well as external clients. + Commitment to working in partnership with others inside and outside the organization. + Ability to effectively manage multiple time-sensitive tasks. **Qualifications** + High School diploma or GED required; commensurate relevant experience considered. + Minimum of one (1) year of Customer Service or related experience required. + Entry level position, no prior required. Any experience in right of way or related activities is a plus + Professional real estate license in applicable state or the ability to obtain one within 3 months (90 days) of hire is required. + Ability to communicate and negotiate with property owners regarding changes that may affect their property. Clients include homeowners, legal representatives, industry, universities, and utilities. + Ability to obtain Notary Public designation. + Solid working knowledge of personal computers, Microsoft Office Suite, Google Earth, ArcGIS and data management software. + Ability to travel up to 50% of the time during busier periods. + Satisfactory driving record as determined by the Company and a current, valid State driver's license. **About Bowman** Are you ready to build a career that makes a lasting impact? At Bowman, our people are at the center of everything we do. We're committed to creating an environment where employees can thrive both personally and professionally, while helping to shape the infrastructure of tomorrow. A career at Bowman means being part of a collaborative, forward-thinking organization where innovation, inclusion, and growth are encouraged at every level. We offer competitive compensation, a supportive work environment, and benefits designed to help our employees succeed. **Our comprehensive benefits package includes:** + Medical, dental, vision, life, and disability insurance + 401(k) retirement savings plan with company match + Paid time off, sick leave, and paid holidays + Tuition reimbursement and professional development support + Discretionary bonuses and other performance-based incentives + Employee Assistance Program (EAP), wellness initiatives, and employee discounts Eligibility for certain benefits may vary based on position, location, and employment status. **Physical Demands and Working Environment** + Primarily indoor professional office environment which may include bright/dim light, noise, fumes, odors, and traffic. + Mobility around an office environment. + Frequent and prolonged use of standard office equipment such as computers, phones, photocopiers, filing cabinets and fax machines. + Occasional lifting or carrying up to 20 pounds. + Occasional pushing or pulling up to 20 pounds. + Occasional reaching outward or above shoulder. \#LI-RL1 ** Disclaimer** Note: While this job description is intended to be an accurate reflection of the job requirements, it is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Management reserves the right to modify, add, or remove duties from particular jobs and to assign other duties as necessary at any time with or without notice. Bowman is proud to be an Equal Opportunity Employer committed to fostering a diverse and inclusive workplace where all employees feel valued and respected. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here (*************************************************************** . If you'd like more information on your EEO rights under the law, please click here (************************************************* . Bowman has an obligation to provide and maintain a safe, healthy, and productive environment for its employees and clients. We are committed to maintaining a drug and alcohol-free workplace. If you have any questions about the application process, please email ********************* . Bowman is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please go here: *************************************************************** If you'd like more information on your EEO rights under the law, please go here: *************************************************
    $28k-49k yearly est. 2d ago
  • Gen AI / Agentic AI Lead

    Infosys Ltd. 4.4company rating

    Palm Beach, FL jobs

    Infosys is seeking a hands-on Gen AI / Agentic AI Lead to drive the development and deployment of next-generation AI solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI frameworks. This role is ideal for a mid-level engineer with strong technical depth, a passion for building, and the ability to lead small teams or workstreams in a fast-paced, innovation-driven environment. Required Qualifications * Bachelor's degree in Computer Science, AI/ML, or related field. * 4 years of experience in software engineering or data science, with 2-3 years in Gen AI or LLM-based systems. * Strong Python programming skills and experience with ML/AI libraries (Hugging Face Transformers, LangChain, PyTorch). * Hands-on experience with vector databases (FAISS, Pinecone, Weaviate, Azure AI Search). * Familiarity with cloud platforms and Gen AI services (AWS, Azure, GCP). * Experience with REST API development (FastAPI, Flask) and containerization (Docker). * Solid understanding of AI governance, model safety, and prompt engineering. * This position is located in Bridgewater, NJ; Sunnyvale, CA; Austin, TX; Raleigh, NC; Richardson, TX; Tempe, AZ; Phoenix, AZ; Charlotte, NC; Houston, TX; Denver, CO; Hartford, CT; New York, NY, Palm Beach, FL; Tampa, FL or Alpharetta, GA, or is willing to relocate. * Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time Key Responsibilities * Design, develop, and deploy Gen AI applications using LLMs and agentic frameworks (e.g., LangGraph, AutoGen, Crew AI). * Fine-tune open-source and proprietary LLMs using techniques like LoRA, QLoRA, and PEFT. * Build and optimize RAG pipelines with hybrid retrieval, semantic chunking, and vector search. * Integrate Gen AI solutions with cloud-native services (AWS Bedrock, Azure OpenAI, GCP Vertex AI). * Work with unstructured data (PDFs, HTML, audio, images) and multimodal models. * Implement LLMOps practices including prompt versioning, caching, observability, and cost tracking. * Evaluate model performance using tools like RAGAS, DeepEval, and FMeval. * Collaborate with product managers, data engineers, and UX teams to deliver production-ready solutions. * Mentor junior engineers and contribute to code reviews, design discussions, and best practices. Preferred Qualifications: * Exposure to agentic workflows and autonomous agents. * Experience with CI/CD pipelines and DevOps tools (GitHub Actions, Jenkins, Terraform). * Familiarity with front-end integration (React, Angular, TypeScript) and GraphQL APIs. * Knowledge of model interpretability, bias mitigation, and human-in-the-loop systems. * Experience with multimodal models and perception systems (e.g., vision + language). The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face-to-face. Estimated annual compensation range for candidates in the below locations will be- Sunnyvale, CA; Bridgewater, NJ; New York, NY, Denver, CO: $73000 to $122275 Along with competitive pay, as a full-time Infosys employee, you are also eligible for the following benefits:- Medical/Dental/Vision/Life Insurance Long-term/Short-term Disability Health and Dependent Care Reimbursement Accounts Insurance (Accident, Critical Illness, Hospital Indemnity, Legal) 401(k) plan and contributions dependent on salary level Paid holidays plus Paid Time Off.
    $73k-122.3k yearly 18d ago
  • Gen AI / Agentic AI Lead

    Infosys Ltd. 4.4company rating

    Palm Beach, FL jobs

    Infosys is seeking a hands-on Gen AI / Agentic AI Lead to drive the development and deployment of next-generation AI solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI frameworks. This role is ideal for a mid-level engineer with strong technical depth, a passion for building, and the ability to lead small teams or workstreams in a fast-paced, innovation-driven environment. Required Qualifications * Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education. * 4 years of experience in software engineering or data science, with 2-3 years in Gen AI or LLM-based systems. * Strong Python programming skills and experience with ML/AI libraries (Hugging Face Transformers, LangChain, PyTorch). * Hands-on experience with vector databases (FAISS, Pinecone, Weaviate, Azure AI Search). * Familiarity with cloud platforms and Gen AI services (AWS, Azure, GCP). * Experience with REST API development (FastAPI, Flask) and containerization (Docker). * Solid understanding of AI governance, model safety, and prompt engineering. * This position is located in Bridgewater, NJ; Sunnyvale, CA; Austin, TX; Raleigh, NC; Richardson, TX; Tempe, AZ; Phoenix, AZ; Charlotte, NC; Houston, TX; Denver, CO; Hartford, CT; New York, NY, Palm Beach, FL; Tampa, FL or Alpharetta, GA, or is willing to relocate. * Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time Key Responsibilities * Design, develop, and deploy Gen AI applications using LLMs and agentic frameworks (e.g., LangGraph, AutoGen, Crew AI). * Fine-tune open-source and proprietary LLMs using techniques like LoRA, QLoRA, and PEFT. * Build and optimize RAG pipelines with hybrid retrieval, semantic chunking, and vector search. * Integrate Gen AI solutions with cloud-native services (AWS Bedrock, Azure OpenAI, GCP Vertex AI). * Work with unstructured data (PDFs, HTML, audio, images) and multimodal models. * Implement LLMOps practices including prompt versioning, caching, observability, and cost tracking. * Evaluate model performance using tools like RAGAS, DeepEval, and FMeval. * Collaborate with product managers, data engineers, and UX teams to deliver production-ready solutions. * Mentor junior engineers and contribute to code reviews, design discussions, and best practices. Preferred Qualifications: * Exposure to agentic workflows and autonomous agents. * Experience with CI/CD pipelines and DevOps tools (GitHub Actions, Jenkins, Terraform). * Familiarity with front-end integration (React, Angular, TypeScript) and GraphQL APIs. * Knowledge of model interpretability, bias mitigation, and human-in-the-loop systems. * Experience with multimodal models and perception systems (e.g., vision + language). The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face-to-face. Estimated annual compensation range for candidates in the below locations will be- Sunnyvale, CA; Bridgewater, NJ; New York, NY, Denver, CO: $73000 to $122275 Along with competitive pay, as a full-time Infosys employee, you are also eligible for the following benefits:- Medical/Dental/Vision/Life Insurance Long-term/Short-term Disability Health and Dependent Care Reimbursement Accounts Insurance (Accident, Critical Illness, Hospital Indemnity, Legal) 401(k) plan and contributions dependent on salary level Paid holidays plus Paid Time Off.
    $73k-122.3k yearly 18d ago
  • Lead Agentic AI Architect - Boston

    Perficient 4.5company rating

    Saint Louis, MO jobs

    Perficient currently has a career opportunity for a Lead Agentic AI Architect-Google Vertex & Gemini onsite in Boston, MA. As Lead Agentic AI Architect, you will be part of Perficient's Cloud/API Practice developing best in class experiences for Perficient customers. You will provide technology direction, ensure project implementation, and utilize technology research to innovate, integrate, and manage technology solutions. You will also significantly contribute to identifying best-fit architectural solutions for one or more projects; you will collaborate with some of the best talent in the industry to create and implement innovative, high-quality solutions, participate in sales and various pursuits focused on our clients' business needs. This role requires being onsite in the Boston area 5 days a week. Perficient is always looking for the best and brightest talent and we need you! We're a quickly-growing, global digital consulting leader, and we're transforming the world's largest enterprises and biggest brands. You'll work with the latest technologies, expand your skills, and become a part of our global community of talented, diverse, and knowledgeable colleagues. Gemini & Agentic AI: deeply hands-on with Vertex AI Agents and Gemini 1.5. You must understand how to build and deploy Gemini Connectors to ground models in enterprise data. Low-No Code Velocity: Leverage Vertex AI Agent Builder to rapidly prototype and deploy agentic workflows, bypassing traditional heavy-code bottlenecks when speed is critical. Fast-Paced Agile: drive delivery in a high-velocity environment. You thrive in 2-week sprints and can pivot strategy based on real-time feedback. Rigorous SDLC: enforce software development lifecycle best practices for AI-ensuring that "Action Fabrics" are tested, versioned, and scalable (CI/CD for Data & AI). Industrialization: Move POCs to production by prioritizing stability, security, and scale over novelty. Google Cloud Native: 7+ years of deep experience within the GCP ecosystem (BigQuery, Dataflow, Looker, Vertex AI). GenAI Practitioner: Proven experience building RAG (Retrieval Augmented Generation) architectures and grounding LLMs (specifically Gemini) with enterprise data. The "Connector" Mindset: Experience building custom connectors and integrations that allow AI agents to read from and write back to enterprise systems (ERP, CRM). Agile Leadership: Certified Scrum Master or equivalent practical experience leading agile teams in a consulting or product environment. Communication: Exceptional ability to command a room, manage stakeholder expectations, and simplify the complex. Experience with prompt engineering, RAG, or agentic AI architectures Experience with agentic frameworks in practice (langchain, n8n, pydantic, etc) Demonstrated ability to leverage AI tools to enhance productivity, streamline workflows, and support data-informed task execution. Familiarity with AI-enhanced platforms is a plus. A solid understanding of AI capabilities and limitations including ethical considerations is expected. ADDITIONAL INFORMATION Perficient, Inc. proudly provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, genetic information, marital status, amnesty, or status as a protected veteran in accordance with applicable federal, state and local laws. Perficient, Inc. complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including, but not limited to, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Perficient, Inc. expressly prohibits any form of unlawful employee harassment based on race, color, religion, gender, sexual orientation, national origin, age, genetic information, disability, or covered veterans. Improper interference with the ability of Perficient, Inc. employees to perform their expected job duties is absolutely not tolerated. Disability Accommodations: Perficient is committed to providing a barrier-free employment process with reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or accommodation due to a disability, please contact us. Applications will be accepted until the position is filled or the posting is removed. The salary range for this position takes into consideration a variety of factors, including but not limited to skill sets, level of experience, applicable office location, training, licensure and certifications, and other business and organizational needs. The new hire salary range displays the minimum and maximum salary targets for this position across all US locations, and the range has not been adjusted for any specific state differentials. It is not typical for a candidate to be hired at or near the top of the range for their role, and compensation decisions are dependent on the unique facts and circumstances regarding each candidate. A reasonable estimate of the current salary range for this position is $81,978 to $178,090. Please note that the salary range posted reflects the base salary only and does not include benefits or any potential variable compensation programs. Information regarding the benefits available for this position are in our benefits overview. Disclaimer: The above statements are not intended to be a complete statement of job content, rather to act as a guide to the essential functions performed by the employee assigned to this classification. Management retains the discretion to add or change the duties of the position at any time. #LI-AB1 #LI-GCP #LI-Vertex #LI-Gemini Articulate complex Data & AI strategies to C-level executives, translating technical "action fabrics" into business value. Lead high-velocity squads while remaining willing to jump into the console to debug, prototype, or architect solutions. Architect the Future Define and drive the AI and platform architecture vision, establishing best practices for building secure, scalable, and high-performance systems on GCP. Lead AI Enablement Design and implement AI/ML capabilities across the platform, including data ingestion, model lifecycle management, and real-time monitoring to deliver actionable insights. Evaluate Emerging Technologies Continuously assess new AI/ML tools and trends to ensure the platform remains innovative and aligned with strategic business goals. Collaborate Across Functions Act as a key liaison between engineering, product, and business stakeholders, translating business needs into actionable architectural designs and ensuring cohesive execution. Establish Technical Standards Define and enforce architectural standards, toolsets, and integration frameworks. Optimize Performance and Cost Direct initiatives to monitor and enhance platform performance and cost-efficiency using advanced platform tools, ensuring high availability and scalability. Mentor and Inspire Guide and support engineering teams, fostering a culture of innovation, collaboration, and continuous learning within the architecture function. Implementing guardrails, optimizing for costs, and evaluating model performances.
    $82k-178.1k yearly Auto-Apply 1d ago
  • Gen AI / Agentic AI Lead

    Infosys Ltd. 4.4company rating

    Charlotte, NC jobs

    Infosys is seeking a hands-on Gen AI / Agentic AI Lead to drive the development and deployment of next-generation AI solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI frameworks. This role is ideal for a mid-level engineer with strong technical depth, a passion for building, and the ability to lead small teams or workstreams in a fast-paced, innovation-driven environment. Required Qualifications * Bachelor's degree in Computer Science, AI/ML, or related field. * 4 years of experience in software engineering or data science, with 2-3 years in Gen AI or LLM-based systems. * Strong Python programming skills and experience with ML/AI libraries (Hugging Face Transformers, LangChain, PyTorch). * Hands-on experience with vector databases (FAISS, Pinecone, Weaviate, Azure AI Search). * Familiarity with cloud platforms and Gen AI services (AWS, Azure, GCP). * Experience with REST API development (FastAPI, Flask) and containerization (Docker). * Solid understanding of AI governance, model safety, and prompt engineering. * This position is located in Bridgewater, NJ; Sunnyvale, CA; Austin, TX; Raleigh, NC; Richardson, TX; Tempe, AZ; Phoenix, AZ; Charlotte, NC; Houston, TX; Denver, CO; Hartford, CT; New York, NY, Palm Beach, FL; Tampa, FL or Alpharetta, GA, or is willing to relocate. * Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time Key Responsibilities * Design, develop, and deploy Gen AI applications using LLMs and agentic frameworks (e.g., LangGraph, AutoGen, Crew AI). * Fine-tune open-source and proprietary LLMs using techniques like LoRA, QLoRA, and PEFT. * Build and optimize RAG pipelines with hybrid retrieval, semantic chunking, and vector search. * Integrate Gen AI solutions with cloud-native services (AWS Bedrock, Azure OpenAI, GCP Vertex AI). * Work with unstructured data (PDFs, HTML, audio, images) and multimodal models. * Implement LLMOps practices including prompt versioning, caching, observability, and cost tracking. * Evaluate model performance using tools like RAGAS, DeepEval, and FMeval. * Collaborate with product managers, data engineers, and UX teams to deliver production-ready solutions. * Mentor junior engineers and contribute to code reviews, design discussions, and best practices. Preferred Qualifications: * Exposure to agentic workflows and autonomous agents. * Experience with CI/CD pipelines and DevOps tools (GitHub Actions, Jenkins, Terraform). * Familiarity with front-end integration (React, Angular, TypeScript) and GraphQL APIs. * Knowledge of model interpretability, bias mitigation, and human-in-the-loop systems. * Experience with multimodal models and perception systems (e.g., vision + language). The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face-to-face. Estimated annual compensation range for candidates in the below locations will be- Sunnyvale, CA; Bridgewater, NJ; New York, NY, Denver, CO: $73000 to $122275 Along with competitive pay, as a full-time Infosys employee, you are also eligible for the following benefits:- Medical/Dental/Vision/Life Insurance Long-term/Short-term Disability Health and Dependent Care Reimbursement Accounts Insurance (Accident, Critical Illness, Hospital Indemnity, Legal) 401(k) plan and contributions dependent on salary level Paid holidays plus Paid Time Off.
    $73k-122.3k yearly 18d ago
  • Gen AI / Agentic AI Lead

    Infosys Ltd. 4.4company rating

    Charlotte, NC jobs

    Infosys is seeking a hands-on Gen AI / Agentic AI Lead to drive the development and deployment of next-generation AI solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI frameworks. This role is ideal for a mid-level engineer with strong technical depth, a passion for building, and the ability to lead small teams or workstreams in a fast-paced, innovation-driven environment. Required Qualifications * Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education. * 4 years of experience in software engineering or data science, with 2-3 years in Gen AI or LLM-based systems. * Strong Python programming skills and experience with ML/AI libraries (Hugging Face Transformers, LangChain, PyTorch). * Hands-on experience with vector databases (FAISS, Pinecone, Weaviate, Azure AI Search). * Familiarity with cloud platforms and Gen AI services (AWS, Azure, GCP). * Experience with REST API development (FastAPI, Flask) and containerization (Docker). * Solid understanding of AI governance, model safety, and prompt engineering. * This position is located in Bridgewater, NJ; Sunnyvale, CA; Austin, TX; Raleigh, NC; Richardson, TX; Tempe, AZ; Phoenix, AZ; Charlotte, NC; Houston, TX; Denver, CO; Hartford, CT; New York, NY, Palm Beach, FL; Tampa, FL or Alpharetta, GA, or is willing to relocate. * Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time Key Responsibilities * Design, develop, and deploy Gen AI applications using LLMs and agentic frameworks (e.g., LangGraph, AutoGen, Crew AI). * Fine-tune open-source and proprietary LLMs using techniques like LoRA, QLoRA, and PEFT. * Build and optimize RAG pipelines with hybrid retrieval, semantic chunking, and vector search. * Integrate Gen AI solutions with cloud-native services (AWS Bedrock, Azure OpenAI, GCP Vertex AI). * Work with unstructured data (PDFs, HTML, audio, images) and multimodal models. * Implement LLMOps practices including prompt versioning, caching, observability, and cost tracking. * Evaluate model performance using tools like RAGAS, DeepEval, and FMeval. * Collaborate with product managers, data engineers, and UX teams to deliver production-ready solutions. * Mentor junior engineers and contribute to code reviews, design discussions, and best practices. Preferred Qualifications: * Exposure to agentic workflows and autonomous agents. * Experience with CI/CD pipelines and DevOps tools (GitHub Actions, Jenkins, Terraform). * Familiarity with front-end integration (React, Angular, TypeScript) and GraphQL APIs. * Knowledge of model interpretability, bias mitigation, and human-in-the-loop systems. * Experience with multimodal models and perception systems (e.g., vision + language). The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face-to-face. Estimated annual compensation range for candidates in the below locations will be- Sunnyvale, CA; Bridgewater, NJ; New York, NY, Denver, CO: $73000 to $122275 Along with competitive pay, as a full-time Infosys employee, you are also eligible for the following benefits:- Medical/Dental/Vision/Life Insurance Long-term/Short-term Disability Health and Dependent Care Reimbursement Accounts Insurance (Accident, Critical Illness, Hospital Indemnity, Legal) 401(k) plan and contributions dependent on salary level Paid holidays plus Paid Time Off.
    $73k-122.3k yearly 18d ago
  • Gen AI / Agentic AI Lead

    Infosys Ltd. 4.4company rating

    Austin, TX jobs

    Infosys is seeking a hands-on Gen AI / Agentic AI Lead to drive the development and deployment of next-generation AI solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI frameworks. This role is ideal for a mid-level engineer with strong technical depth, a passion for building, and the ability to lead small teams or workstreams in a fast-paced, innovation-driven environment. Required Qualifications * Bachelor's degree in Computer Science, AI/ML, or related field. * 4 years of experience in software engineering or data science, with 2-3 years in Gen AI or LLM-based systems. * Strong Python programming skills and experience with ML/AI libraries (Hugging Face Transformers, LangChain, PyTorch). * Hands-on experience with vector databases (FAISS, Pinecone, Weaviate, Azure AI Search). * Familiarity with cloud platforms and Gen AI services (AWS, Azure, GCP). * Experience with REST API development (FastAPI, Flask) and containerization (Docker). * Solid understanding of AI governance, model safety, and prompt engineering. * This position is located in Bridgewater, NJ; Sunnyvale, CA; Austin, TX; Raleigh, NC; Richardson, TX; Tempe, AZ; Phoenix, AZ; Charlotte, NC; Houston, TX; Denver, CO; Hartford, CT; New York, NY, Palm Beach, FL; Tampa, FL or Alpharetta, GA, or is willing to relocate. * Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time Key Responsibilities * Design, develop, and deploy Gen AI applications using LLMs and agentic frameworks (e.g., LangGraph, AutoGen, Crew AI). * Fine-tune open-source and proprietary LLMs using techniques like LoRA, QLoRA, and PEFT. * Build and optimize RAG pipelines with hybrid retrieval, semantic chunking, and vector search. * Integrate Gen AI solutions with cloud-native services (AWS Bedrock, Azure OpenAI, GCP Vertex AI). * Work with unstructured data (PDFs, HTML, audio, images) and multimodal models. * Implement LLMOps practices including prompt versioning, caching, observability, and cost tracking. * Evaluate model performance using tools like RAGAS, DeepEval, and FMeval. * Collaborate with product managers, data engineers, and UX teams to deliver production-ready solutions. * Mentor junior engineers and contribute to code reviews, design discussions, and best practices. Preferred Qualifications: * Exposure to agentic workflows and autonomous agents. * Experience with CI/CD pipelines and DevOps tools (GitHub Actions, Jenkins, Terraform). * Familiarity with front-end integration (React, Angular, TypeScript) and GraphQL APIs. * Knowledge of model interpretability, bias mitigation, and human-in-the-loop systems. * Experience with multimodal models and perception systems (e.g., vision + language). The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face-to-face. Estimated annual compensation range for candidates in the below locations will be- Sunnyvale, CA; Bridgewater, NJ; New York, NY, Denver, CO: $73000 to $122275 Along with competitive pay, as a full-time Infosys employee, you are also eligible for the following benefits:- Medical/Dental/Vision/Life Insurance Long-term/Short-term Disability Health and Dependent Care Reimbursement Accounts Insurance (Accident, Critical Illness, Hospital Indemnity, Legal) 401(k) plan and contributions dependent on salary level Paid holidays plus Paid Time Off.
    $73k-122.3k yearly 18d ago
  • Gen AI / Agentic AI Lead

    Infosys Ltd. 4.4company rating

    Austin, TX jobs

    Infosys is seeking a hands-on Gen AI / Agentic AI Lead to drive the development and deployment of next-generation AI solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI frameworks. This role is ideal for a mid-level engineer with strong technical depth, a passion for building, and the ability to lead small teams or workstreams in a fast-paced, innovation-driven environment. Required Qualifications * Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education. * 4 years of experience in software engineering or data science, with 2-3 years in Gen AI or LLM-based systems. * Strong Python programming skills and experience with ML/AI libraries (Hugging Face Transformers, LangChain, PyTorch). * Hands-on experience with vector databases (FAISS, Pinecone, Weaviate, Azure AI Search). * Familiarity with cloud platforms and Gen AI services (AWS, Azure, GCP). * Experience with REST API development (FastAPI, Flask) and containerization (Docker). * Solid understanding of AI governance, model safety, and prompt engineering. * This position is located in Bridgewater, NJ; Sunnyvale, CA; Austin, TX; Raleigh, NC; Richardson, TX; Tempe, AZ; Phoenix, AZ; Charlotte, NC; Houston, TX; Denver, CO; Hartford, CT; New York, NY, Palm Beach, FL; Tampa, FL or Alpharetta, GA, or is willing to relocate. * Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time Key Responsibilities * Design, develop, and deploy Gen AI applications using LLMs and agentic frameworks (e.g., LangGraph, AutoGen, Crew AI). * Fine-tune open-source and proprietary LLMs using techniques like LoRA, QLoRA, and PEFT. * Build and optimize RAG pipelines with hybrid retrieval, semantic chunking, and vector search. * Integrate Gen AI solutions with cloud-native services (AWS Bedrock, Azure OpenAI, GCP Vertex AI). * Work with unstructured data (PDFs, HTML, audio, images) and multimodal models. * Implement LLMOps practices including prompt versioning, caching, observability, and cost tracking. * Evaluate model performance using tools like RAGAS, DeepEval, and FMeval. * Collaborate with product managers, data engineers, and UX teams to deliver production-ready solutions. * Mentor junior engineers and contribute to code reviews, design discussions, and best practices. Preferred Qualifications: * Exposure to agentic workflows and autonomous agents. * Experience with CI/CD pipelines and DevOps tools (GitHub Actions, Jenkins, Terraform). * Familiarity with front-end integration (React, Angular, TypeScript) and GraphQL APIs. * Knowledge of model interpretability, bias mitigation, and human-in-the-loop systems. * Experience with multimodal models and perception systems (e.g., vision + language). The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face-to-face. Estimated annual compensation range for candidates in the below locations will be- Sunnyvale, CA; Bridgewater, NJ; New York, NY, Denver, CO: $73000 to $122275 Along with competitive pay, as a full-time Infosys employee, you are also eligible for the following benefits:- Medical/Dental/Vision/Life Insurance Long-term/Short-term Disability Health and Dependent Care Reimbursement Accounts Insurance (Accident, Critical Illness, Hospital Indemnity, Legal) 401(k) plan and contributions dependent on salary level Paid holidays plus Paid Time Off.
    $73k-122.3k yearly 18d ago
  • Gen AI / Agentic AI Lead

    Infosys Ltd. 4.4company rating

    Tampa, FL jobs

    Infosys is seeking a hands-on Gen AI / Agentic AI Lead to drive the development and deployment of next-generation AI solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI frameworks. This role is ideal for a mid-level engineer with strong technical depth, a passion for building, and the ability to lead small teams or workstreams in a fast-paced, innovation-driven environment. Required Qualifications * Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education. * 4 years of experience in software engineering or data science, with 2-3 years in Gen AI or LLM-based systems. * Strong Python programming skills and experience with ML/AI libraries (Hugging Face Transformers, LangChain, PyTorch). * Hands-on experience with vector databases (FAISS, Pinecone, Weaviate, Azure AI Search). * Familiarity with cloud platforms and Gen AI services (AWS, Azure, GCP). * Experience with REST API development (FastAPI, Flask) and containerization (Docker). * Solid understanding of AI governance, model safety, and prompt engineering. * This position is located in Bridgewater, NJ; Sunnyvale, CA; Austin, TX; Raleigh, NC; Richardson, TX; Tempe, AZ; Phoenix, AZ; Charlotte, NC; Houston, TX; Denver, CO; Hartford, CT; New York, NY, Palm Beach, FL; Tampa, FL or Alpharetta, GA, or is willing to relocate. * Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time Key Responsibilities * Design, develop, and deploy Gen AI applications using LLMs and agentic frameworks (e.g., LangGraph, AutoGen, Crew AI). * Fine-tune open-source and proprietary LLMs using techniques like LoRA, QLoRA, and PEFT. * Build and optimize RAG pipelines with hybrid retrieval, semantic chunking, and vector search. * Integrate Gen AI solutions with cloud-native services (AWS Bedrock, Azure OpenAI, GCP Vertex AI). * Work with unstructured data (PDFs, HTML, audio, images) and multimodal models. * Implement LLMOps practices including prompt versioning, caching, observability, and cost tracking. * Evaluate model performance using tools like RAGAS, DeepEval, and FMeval. * Collaborate with product managers, data engineers, and UX teams to deliver production-ready solutions. * Mentor junior engineers and contribute to code reviews, design discussions, and best practices. Preferred Qualifications: * Exposure to agentic workflows and autonomous agents. * Experience with CI/CD pipelines and DevOps tools (GitHub Actions, Jenkins, Terraform). * Familiarity with front-end integration (React, Angular, TypeScript) and GraphQL APIs. * Knowledge of model interpretability, bias mitigation, and human-in-the-loop systems. * Experience with multimodal models and perception systems (e.g., vision + language). The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face-to-face. Estimated annual compensation range for candidates in the below locations will be- Sunnyvale, CA; Bridgewater, NJ; New York, NY, Denver, CO: $73000 to $122275 Along with competitive pay, as a full-time Infosys employee, you are also eligible for the following benefits:- Medical/Dental/Vision/Life Insurance Long-term/Short-term Disability Health and Dependent Care Reimbursement Accounts Insurance (Accident, Critical Illness, Hospital Indemnity, Legal) 401(k) plan and contributions dependent on salary level Paid holidays plus Paid Time Off.
    $73k-122.3k yearly 18d ago
  • Gen AI / Agentic AI Lead

    Infosys Ltd. 4.4company rating

    Tampa, FL jobs

    Infosys is seeking a hands-on Gen AI / Agentic AI Lead to drive the development and deployment of next-generation AI solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI frameworks. This role is ideal for a mid-level engineer with strong technical depth, a passion for building, and the ability to lead small teams or workstreams in a fast-paced, innovation-driven environment. Required Qualifications * Bachelor's degree in Computer Science, AI/ML, or related field. * 4 years of experience in software engineering or data science, with 2-3 years in Gen AI or LLM-based systems. * Strong Python programming skills and experience with ML/AI libraries (Hugging Face Transformers, LangChain, PyTorch). * Hands-on experience with vector databases (FAISS, Pinecone, Weaviate, Azure AI Search). * Familiarity with cloud platforms and Gen AI services (AWS, Azure, GCP). * Experience with REST API development (FastAPI, Flask) and containerization (Docker). * Solid understanding of AI governance, model safety, and prompt engineering. * This position is located in Bridgewater, NJ; Sunnyvale, CA; Austin, TX; Raleigh, NC; Richardson, TX; Tempe, AZ; Phoenix, AZ; Charlotte, NC; Houston, TX; Denver, CO; Hartford, CT; New York, NY, Palm Beach, FL; Tampa, FL or Alpharetta, GA, or is willing to relocate. * Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time Key Responsibilities * Design, develop, and deploy Gen AI applications using LLMs and agentic frameworks (e.g., LangGraph, AutoGen, Crew AI). * Fine-tune open-source and proprietary LLMs using techniques like LoRA, QLoRA, and PEFT. * Build and optimize RAG pipelines with hybrid retrieval, semantic chunking, and vector search. * Integrate Gen AI solutions with cloud-native services (AWS Bedrock, Azure OpenAI, GCP Vertex AI). * Work with unstructured data (PDFs, HTML, audio, images) and multimodal models. * Implement LLMOps practices including prompt versioning, caching, observability, and cost tracking. * Evaluate model performance using tools like RAGAS, DeepEval, and FMeval. * Collaborate with product managers, data engineers, and UX teams to deliver production-ready solutions. * Mentor junior engineers and contribute to code reviews, design discussions, and best practices. Preferred Qualifications: * Exposure to agentic workflows and autonomous agents. * Experience with CI/CD pipelines and DevOps tools (GitHub Actions, Jenkins, Terraform). * Familiarity with front-end integration (React, Angular, TypeScript) and GraphQL APIs. * Knowledge of model interpretability, bias mitigation, and human-in-the-loop systems. * Experience with multimodal models and perception systems (e.g., vision + language). The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face-to-face. Estimated annual compensation range for candidates in the below locations will be- Sunnyvale, CA; Bridgewater, NJ; New York, NY, Denver, CO: $73000 to $122275 Along with competitive pay, as a full-time Infosys employee, you are also eligible for the following benefits:- Medical/Dental/Vision/Life Insurance Long-term/Short-term Disability Health and Dependent Care Reimbursement Accounts Insurance (Accident, Critical Illness, Hospital Indemnity, Legal) 401(k) plan and contributions dependent on salary level Paid holidays plus Paid Time Off.
    $73k-122.3k yearly 18d ago
  • Gen AI / Agentic AI Lead

    Infosys Ltd. 4.4company rating

    Houston, TX jobs

    Infosys is seeking a hands-on Gen AI / Agentic AI Lead to drive the development and deployment of next-generation AI solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI frameworks. This role is ideal for a mid-level engineer with strong technical depth, a passion for building, and the ability to lead small teams or workstreams in a fast-paced, innovation-driven environment. Required Qualifications * Bachelor's degree in Computer Science, AI/ML, or related field. * 4 years of experience in software engineering or data science, with 2-3 years in Gen AI or LLM-based systems. * Strong Python programming skills and experience with ML/AI libraries (Hugging Face Transformers, LangChain, PyTorch). * Hands-on experience with vector databases (FAISS, Pinecone, Weaviate, Azure AI Search). * Familiarity with cloud platforms and Gen AI services (AWS, Azure, GCP). * Experience with REST API development (FastAPI, Flask) and containerization (Docker). * Solid understanding of AI governance, model safety, and prompt engineering. * This position is located in Bridgewater, NJ; Sunnyvale, CA; Austin, TX; Raleigh, NC; Richardson, TX; Tempe, AZ; Phoenix, AZ; Charlotte, NC; Houston, TX; Denver, CO; Hartford, CT; New York, NY, Palm Beach, FL; Tampa, FL or Alpharetta, GA, or is willing to relocate. * Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time Key Responsibilities * Design, develop, and deploy Gen AI applications using LLMs and agentic frameworks (e.g., LangGraph, AutoGen, Crew AI). * Fine-tune open-source and proprietary LLMs using techniques like LoRA, QLoRA, and PEFT. * Build and optimize RAG pipelines with hybrid retrieval, semantic chunking, and vector search. * Integrate Gen AI solutions with cloud-native services (AWS Bedrock, Azure OpenAI, GCP Vertex AI). * Work with unstructured data (PDFs, HTML, audio, images) and multimodal models. * Implement LLMOps practices including prompt versioning, caching, observability, and cost tracking. * Evaluate model performance using tools like RAGAS, DeepEval, and FMeval. * Collaborate with product managers, data engineers, and UX teams to deliver production-ready solutions. * Mentor junior engineers and contribute to code reviews, design discussions, and best practices. Preferred Qualifications: * Exposure to agentic workflows and autonomous agents. * Experience with CI/CD pipelines and DevOps tools (GitHub Actions, Jenkins, Terraform). * Familiarity with front-end integration (React, Angular, TypeScript) and GraphQL APIs. * Knowledge of model interpretability, bias mitigation, and human-in-the-loop systems. * Experience with multimodal models and perception systems (e.g., vision + language). The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face-to-face. Estimated annual compensation range for candidates in the below locations will be- Sunnyvale, CA; Bridgewater, NJ; New York, NY, Denver, CO: $73000 to $122275 Along with competitive pay, as a full-time Infosys employee, you are also eligible for the following benefits:- Medical/Dental/Vision/Life Insurance Long-term/Short-term Disability Health and Dependent Care Reimbursement Accounts Insurance (Accident, Critical Illness, Hospital Indemnity, Legal) 401(k) plan and contributions dependent on salary level Paid holidays plus Paid Time Off.
    $73k-122.3k yearly 18d ago
  • Gen AI / Agentic AI Lead

    Infosys Ltd. 4.4company rating

    Houston, TX jobs

    Infosys is seeking a hands-on Gen AI / Agentic AI Lead to drive the development and deployment of next-generation AI solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI frameworks. This role is ideal for a mid-level engineer with strong technical depth, a passion for building, and the ability to lead small teams or workstreams in a fast-paced, innovation-driven environment. Required Qualifications * Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education. * 4 years of experience in software engineering or data science, with 2-3 years in Gen AI or LLM-based systems. * Strong Python programming skills and experience with ML/AI libraries (Hugging Face Transformers, LangChain, PyTorch). * Hands-on experience with vector databases (FAISS, Pinecone, Weaviate, Azure AI Search). * Familiarity with cloud platforms and Gen AI services (AWS, Azure, GCP). * Experience with REST API development (FastAPI, Flask) and containerization (Docker). * Solid understanding of AI governance, model safety, and prompt engineering. * This position is located in Bridgewater, NJ; Sunnyvale, CA; Austin, TX; Raleigh, NC; Richardson, TX; Tempe, AZ; Phoenix, AZ; Charlotte, NC; Houston, TX; Denver, CO; Hartford, CT; New York, NY, Palm Beach, FL; Tampa, FL or Alpharetta, GA, or is willing to relocate. * Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time Key Responsibilities * Design, develop, and deploy Gen AI applications using LLMs and agentic frameworks (e.g., LangGraph, AutoGen, Crew AI). * Fine-tune open-source and proprietary LLMs using techniques like LoRA, QLoRA, and PEFT. * Build and optimize RAG pipelines with hybrid retrieval, semantic chunking, and vector search. * Integrate Gen AI solutions with cloud-native services (AWS Bedrock, Azure OpenAI, GCP Vertex AI). * Work with unstructured data (PDFs, HTML, audio, images) and multimodal models. * Implement LLMOps practices including prompt versioning, caching, observability, and cost tracking. * Evaluate model performance using tools like RAGAS, DeepEval, and FMeval. * Collaborate with product managers, data engineers, and UX teams to deliver production-ready solutions. * Mentor junior engineers and contribute to code reviews, design discussions, and best practices. Preferred Qualifications: * Exposure to agentic workflows and autonomous agents. * Experience with CI/CD pipelines and DevOps tools (GitHub Actions, Jenkins, Terraform). * Familiarity with front-end integration (React, Angular, TypeScript) and GraphQL APIs. * Knowledge of model interpretability, bias mitigation, and human-in-the-loop systems. * Experience with multimodal models and perception systems (e.g., vision + language). The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face-to-face. Estimated annual compensation range for candidates in the below locations will be- Sunnyvale, CA; Bridgewater, NJ; New York, NY, Denver, CO: $73000 to $122275 Along with competitive pay, as a full-time Infosys employee, you are also eligible for the following benefits:- Medical/Dental/Vision/Life Insurance Long-term/Short-term Disability Health and Dependent Care Reimbursement Accounts Insurance (Accident, Critical Illness, Hospital Indemnity, Legal) 401(k) plan and contributions dependent on salary level Paid holidays plus Paid Time Off.
    $73k-122.3k yearly 18d ago
  • Gen AI / Agentic AI Lead

    Infosys Ltd. 4.4company rating

    Raleigh, NC jobs

    Infosys is seeking a hands-on Gen AI / Agentic AI Lead to drive the development and deployment of next-generation AI solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI frameworks. This role is ideal for a mid-level engineer with strong technical depth, a passion for building, and the ability to lead small teams or workstreams in a fast-paced, innovation-driven environment. Required Qualifications * Bachelor's degree in Computer Science, AI/ML, or related field. * 4 years of experience in software engineering or data science, with 2-3 years in Gen AI or LLM-based systems. * Strong Python programming skills and experience with ML/AI libraries (Hugging Face Transformers, LangChain, PyTorch). * Hands-on experience with vector databases (FAISS, Pinecone, Weaviate, Azure AI Search). * Familiarity with cloud platforms and Gen AI services (AWS, Azure, GCP). * Experience with REST API development (FastAPI, Flask) and containerization (Docker). * Solid understanding of AI governance, model safety, and prompt engineering. * This position is located in Bridgewater, NJ; Sunnyvale, CA; Austin, TX; Raleigh, NC; Richardson, TX; Tempe, AZ; Phoenix, AZ; Charlotte, NC; Houston, TX; Denver, CO; Hartford, CT; New York, NY, Palm Beach, FL; Tampa, FL or Alpharetta, GA, or is willing to relocate. * Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time Key Responsibilities * Design, develop, and deploy Gen AI applications using LLMs and agentic frameworks (e.g., LangGraph, AutoGen, Crew AI). * Fine-tune open-source and proprietary LLMs using techniques like LoRA, QLoRA, and PEFT. * Build and optimize RAG pipelines with hybrid retrieval, semantic chunking, and vector search. * Integrate Gen AI solutions with cloud-native services (AWS Bedrock, Azure OpenAI, GCP Vertex AI). * Work with unstructured data (PDFs, HTML, audio, images) and multimodal models. * Implement LLMOps practices including prompt versioning, caching, observability, and cost tracking. * Evaluate model performance using tools like RAGAS, DeepEval, and FMeval. * Collaborate with product managers, data engineers, and UX teams to deliver production-ready solutions. * Mentor junior engineers and contribute to code reviews, design discussions, and best practices. Preferred Qualifications: * Exposure to agentic workflows and autonomous agents. * Experience with CI/CD pipelines and DevOps tools (GitHub Actions, Jenkins, Terraform). * Familiarity with front-end integration (React, Angular, TypeScript) and GraphQL APIs. * Knowledge of model interpretability, bias mitigation, and human-in-the-loop systems. * Experience with multimodal models and perception systems (e.g., vision + language). The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face-to-face. Estimated annual compensation range for candidates in the below locations will be- Sunnyvale, CA; Bridgewater, NJ; New York, NY, Denver, CO: $73000 to $122275 Along with competitive pay, as a full-time Infosys employee, you are also eligible for the following benefits:- Medical/Dental/Vision/Life Insurance Long-term/Short-term Disability Health and Dependent Care Reimbursement Accounts Insurance (Accident, Critical Illness, Hospital Indemnity, Legal) 401(k) plan and contributions dependent on salary level Paid holidays plus Paid Time Off.
    $73k-122.3k yearly 18d ago
  • Gen AI / Agentic AI Lead

    Infosys Ltd. 4.4company rating

    Raleigh, NC jobs

    Infosys is seeking a hands-on Gen AI / Agentic AI Lead to drive the development and deployment of next-generation AI solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI frameworks. This role is ideal for a mid-level engineer with strong technical depth, a passion for building, and the ability to lead small teams or workstreams in a fast-paced, innovation-driven environment. Required Qualifications * Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education. * 4 years of experience in software engineering or data science, with 2-3 years in Gen AI or LLM-based systems. * Strong Python programming skills and experience with ML/AI libraries (Hugging Face Transformers, LangChain, PyTorch). * Hands-on experience with vector databases (FAISS, Pinecone, Weaviate, Azure AI Search). * Familiarity with cloud platforms and Gen AI services (AWS, Azure, GCP). * Experience with REST API development (FastAPI, Flask) and containerization (Docker). * Solid understanding of AI governance, model safety, and prompt engineering. * This position is located in Bridgewater, NJ; Sunnyvale, CA; Austin, TX; Raleigh, NC; Richardson, TX; Tempe, AZ; Phoenix, AZ; Charlotte, NC; Houston, TX; Denver, CO; Hartford, CT; New York, NY, Palm Beach, FL; Tampa, FL or Alpharetta, GA, or is willing to relocate. * Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time Key Responsibilities * Design, develop, and deploy Gen AI applications using LLMs and agentic frameworks (e.g., LangGraph, AutoGen, Crew AI). * Fine-tune open-source and proprietary LLMs using techniques like LoRA, QLoRA, and PEFT. * Build and optimize RAG pipelines with hybrid retrieval, semantic chunking, and vector search. * Integrate Gen AI solutions with cloud-native services (AWS Bedrock, Azure OpenAI, GCP Vertex AI). * Work with unstructured data (PDFs, HTML, audio, images) and multimodal models. * Implement LLMOps practices including prompt versioning, caching, observability, and cost tracking. * Evaluate model performance using tools like RAGAS, DeepEval, and FMeval. * Collaborate with product managers, data engineers, and UX teams to deliver production-ready solutions. * Mentor junior engineers and contribute to code reviews, design discussions, and best practices. Preferred Qualifications: * Exposure to agentic workflows and autonomous agents. * Experience with CI/CD pipelines and DevOps tools (GitHub Actions, Jenkins, Terraform). * Familiarity with front-end integration (React, Angular, TypeScript) and GraphQL APIs. * Knowledge of model interpretability, bias mitigation, and human-in-the-loop systems. * Experience with multimodal models and perception systems (e.g., vision + language). The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face-to-face. Estimated annual compensation range for candidates in the below locations will be- Sunnyvale, CA; Bridgewater, NJ; New York, NY, Denver, CO: $73000 to $122275 Along with competitive pay, as a full-time Infosys employee, you are also eligible for the following benefits:- Medical/Dental/Vision/Life Insurance Long-term/Short-term Disability Health and Dependent Care Reimbursement Accounts Insurance (Accident, Critical Illness, Hospital Indemnity, Legal) 401(k) plan and contributions dependent on salary level Paid holidays plus Paid Time Off.
    $73k-122.3k yearly 18d ago
  • Gen AI / Agentic AI Lead

    Infosys Ltd. 4.4company rating

    Richardson, TX jobs

    Infosys is seeking a hands-on Gen AI / Agentic AI Lead to drive the development and deployment of next-generation AI solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI frameworks. This role is ideal for a mid-level engineer with strong technical depth, a passion for building, and the ability to lead small teams or workstreams in a fast-paced, innovation-driven environment. Required Qualifications * Bachelor's degree in Computer Science, AI/ML, or related field. * 4 years of experience in software engineering or data science, with 2-3 years in Gen AI or LLM-based systems. * Strong Python programming skills and experience with ML/AI libraries (Hugging Face Transformers, LangChain, PyTorch). * Hands-on experience with vector databases (FAISS, Pinecone, Weaviate, Azure AI Search). * Familiarity with cloud platforms and Gen AI services (AWS, Azure, GCP). * Experience with REST API development (FastAPI, Flask) and containerization (Docker). * Solid understanding of AI governance, model safety, and prompt engineering. * This position is located in Bridgewater, NJ; Sunnyvale, CA; Austin, TX; Raleigh, NC; Richardson, TX; Tempe, AZ; Phoenix, AZ; Charlotte, NC; Houston, TX; Denver, CO; Hartford, CT; New York, NY, Palm Beach, FL; Tampa, FL or Alpharetta, GA, or is willing to relocate. * Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time Key Responsibilities * Design, develop, and deploy Gen AI applications using LLMs and agentic frameworks (e.g., LangGraph, AutoGen, Crew AI). * Fine-tune open-source and proprietary LLMs using techniques like LoRA, QLoRA, and PEFT. * Build and optimize RAG pipelines with hybrid retrieval, semantic chunking, and vector search. * Integrate Gen AI solutions with cloud-native services (AWS Bedrock, Azure OpenAI, GCP Vertex AI). * Work with unstructured data (PDFs, HTML, audio, images) and multimodal models. * Implement LLMOps practices including prompt versioning, caching, observability, and cost tracking. * Evaluate model performance using tools like RAGAS, DeepEval, and FMeval. * Collaborate with product managers, data engineers, and UX teams to deliver production-ready solutions. * Mentor junior engineers and contribute to code reviews, design discussions, and best practices. Preferred Qualifications: * Exposure to agentic workflows and autonomous agents. * Experience with CI/CD pipelines and DevOps tools (GitHub Actions, Jenkins, Terraform). * Familiarity with front-end integration (React, Angular, TypeScript) and GraphQL APIs. * Knowledge of model interpretability, bias mitigation, and human-in-the-loop systems. * Experience with multimodal models and perception systems (e.g., vision + language). The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face-to-face. Estimated annual compensation range for candidates in the below locations will be- Sunnyvale, CA; Bridgewater, NJ; New York, NY, Denver, CO: $73000 to $122275 Along with competitive pay, as a full-time Infosys employee, you are also eligible for the following benefits:- Medical/Dental/Vision/Life Insurance Long-term/Short-term Disability Health and Dependent Care Reimbursement Accounts Insurance (Accident, Critical Illness, Hospital Indemnity, Legal) 401(k) plan and contributions dependent on salary level Paid holidays plus Paid Time Off.
    $73k-122.3k yearly 18d ago
  • Gen AI / Agentic AI Lead

    Infosys Ltd. 4.4company rating

    Richardson, TX jobs

    Infosys is seeking a hands-on Gen AI / Agentic AI Lead to drive the development and deployment of next-generation AI solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI frameworks. This role is ideal for a mid-level engineer with strong technical depth, a passion for building, and the ability to lead small teams or workstreams in a fast-paced, innovation-driven environment. Required Qualifications * Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education. * 4 years of experience in software engineering or data science, with 2-3 years in Gen AI or LLM-based systems. * Strong Python programming skills and experience with ML/AI libraries (Hugging Face Transformers, LangChain, PyTorch). * Hands-on experience with vector databases (FAISS, Pinecone, Weaviate, Azure AI Search). * Familiarity with cloud platforms and Gen AI services (AWS, Azure, GCP). * Experience with REST API development (FastAPI, Flask) and containerization (Docker). * Solid understanding of AI governance, model safety, and prompt engineering. * This position is located in Bridgewater, NJ; Sunnyvale, CA; Austin, TX; Raleigh, NC; Richardson, TX; Tempe, AZ; Phoenix, AZ; Charlotte, NC; Houston, TX; Denver, CO; Hartford, CT; New York, NY, Palm Beach, FL; Tampa, FL or Alpharetta, GA, or is willing to relocate. * Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time Key Responsibilities * Design, develop, and deploy Gen AI applications using LLMs and agentic frameworks (e.g., LangGraph, AutoGen, Crew AI). * Fine-tune open-source and proprietary LLMs using techniques like LoRA, QLoRA, and PEFT. * Build and optimize RAG pipelines with hybrid retrieval, semantic chunking, and vector search. * Integrate Gen AI solutions with cloud-native services (AWS Bedrock, Azure OpenAI, GCP Vertex AI). * Work with unstructured data (PDFs, HTML, audio, images) and multimodal models. * Implement LLMOps practices including prompt versioning, caching, observability, and cost tracking. * Evaluate model performance using tools like RAGAS, DeepEval, and FMeval. * Collaborate with product managers, data engineers, and UX teams to deliver production-ready solutions. * Mentor junior engineers and contribute to code reviews, design discussions, and best practices. Preferred Qualifications: * Exposure to agentic workflows and autonomous agents. * Experience with CI/CD pipelines and DevOps tools (GitHub Actions, Jenkins, Terraform). * Familiarity with front-end integration (React, Angular, TypeScript) and GraphQL APIs. * Knowledge of model interpretability, bias mitigation, and human-in-the-loop systems. * Experience with multimodal models and perception systems (e.g., vision + language). The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face-to-face. Estimated annual compensation range for candidates in the below locations will be- Sunnyvale, CA; Bridgewater, NJ; New York, NY, Denver, CO: $73000 to $122275 Along with competitive pay, as a full-time Infosys employee, you are also eligible for the following benefits:- Medical/Dental/Vision/Life Insurance Long-term/Short-term Disability Health and Dependent Care Reimbursement Accounts Insurance (Accident, Critical Illness, Hospital Indemnity, Legal) 401(k) plan and contributions dependent on salary level Paid holidays plus Paid Time Off.
    $73k-122.3k yearly 18d ago
  • Lead Agentic AI Engineer- Python

    Infosys 4.4company rating

    Charlotte, NC jobs

    We are looking for a Senior Agentic AI Engineer with a strong background in data science and hands-on experience in building and deploying agentic AI systems. The ideal candidate will contribute to the design and implementation of intelligent, autonomous agents that can perform complex, multi-step tasks across enterprise-grade AI solutions. This role offers the opportunity to work on cutting-edge technologies in Generative AI, LLM fine-tuning, agentic orchestration, and vector databases, while shaping impactful consulting solutions across industries like Banking, Finance, and Capital Markets. Required Qualifications: Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education. Candidate must live within commuting distance Charlotte, NC or be willing to relocate. This position may require travel in the US. At least 4 years of experience in Information Technology Applicants authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time At Least 2 years of experience in Design and implement agentic AI systems that leverage autonomous agents to perform complex, multi-step tasks with minimal human intervention. At Least 2 years of experience in Build and orchestrate multi-agent workflows using frameworks like LangGraph, CrewAI, or similar, enabling dynamic decision-making, task delegation, and tool integration. At Least 2 years of experience in Appling agentic AI principles to enhance automation, contextual reasoning, and adaptability in enterprise applications across domains such as data processing, customer support, and analytics. Preferred Qualifications: Experience with API Gateway development and deployment on Azure/GCP. Hands-on experience with vector databases and RAG pipelines. Familiarity with CI/CD, DevOps, and automation tools in AI/ML contexts. Strong problem-solving skills and ability to evaluate multiple solution paths. Excellent communication and stakeholder management skills. Domain expertise in Banking, Finance, or Capital Markets is a plus. The job may entail extensive travel. The job may also entail sitting as well as working at a computer for extended periods of time. Candidates should be able to effectively communicate by telephone, email, and face to face. About Us Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem. EEO Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability. Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.
    $69k-86k yearly est. 47d ago
  • Gen AI / Agentic AI Lead

    Infosys Ltd. 4.4company rating

    Alpharetta, GA jobs

    Infosys is seeking a hands-on Gen AI / Agentic AI Lead to drive the development and deployment of next-generation AI solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI frameworks. This role is ideal for a mid-level engineer with strong technical depth, a passion for building, and the ability to lead small teams or workstreams in a fast-paced, innovation-driven environment. Required Qualifications * Bachelor's degree in Computer Science, AI/ML, or related field. * 4 years of experience in software engineering or data science, with 2-3 years in Gen AI or LLM-based systems. * Strong Python programming skills and experience with ML/AI libraries (Hugging Face Transformers, LangChain, PyTorch). * Hands-on experience with vector databases (FAISS, Pinecone, Weaviate, Azure AI Search). * Familiarity with cloud platforms and Gen AI services (AWS, Azure, GCP). * Experience with REST API development (FastAPI, Flask) and containerization (Docker). * Solid understanding of AI governance, model safety, and prompt engineering. * This position is located in Bridgewater, NJ; Sunnyvale, CA; Austin, TX; Raleigh, NC; Richardson, TX; Tempe, AZ; Phoenix, AZ; Charlotte, NC; Houston, TX; Denver, CO; Hartford, CT; New York, NY, Palm Beach, FL; Tampa, FL or Alpharetta, GA, or is willing to relocate. * Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time Key Responsibilities * Design, develop, and deploy Gen AI applications using LLMs and agentic frameworks (e.g., LangGraph, AutoGen, Crew AI). * Fine-tune open-source and proprietary LLMs using techniques like LoRA, QLoRA, and PEFT. * Build and optimize RAG pipelines with hybrid retrieval, semantic chunking, and vector search. * Integrate Gen AI solutions with cloud-native services (AWS Bedrock, Azure OpenAI, GCP Vertex AI). * Work with unstructured data (PDFs, HTML, audio, images) and multimodal models. * Implement LLMOps practices including prompt versioning, caching, observability, and cost tracking. * Evaluate model performance using tools like RAGAS, DeepEval, and FMeval. * Collaborate with product managers, data engineers, and UX teams to deliver production-ready solutions. * Mentor junior engineers and contribute to code reviews, design discussions, and best practices. Preferred Qualifications: * Exposure to agentic workflows and autonomous agents. * Experience with CI/CD pipelines and DevOps tools (GitHub Actions, Jenkins, Terraform). * Familiarity with front-end integration (React, Angular, TypeScript) and GraphQL APIs. * Knowledge of model interpretability, bias mitigation, and human-in-the-loop systems. * Experience with multimodal models and perception systems (e.g., vision + language). The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face-to-face. Estimated annual compensation range for candidates in the below locations will be- Sunnyvale, CA; Bridgewater, NJ; New York, NY, Denver, CO: $73000 to $122275 Along with competitive pay, as a full-time Infosys employee, you are also eligible for the following benefits:- Medical/Dental/Vision/Life Insurance Long-term/Short-term Disability Health and Dependent Care Reimbursement Accounts Insurance (Accident, Critical Illness, Hospital Indemnity, Legal) 401(k) plan and contributions dependent on salary level Paid holidays plus Paid Time Off.
    $73k-122.3k yearly 18d ago
  • Gen AI / Agentic AI Lead

    Infosys Ltd. 4.4company rating

    Alpharetta, GA jobs

    Infosys is seeking a hands-on Gen AI / Agentic AI Lead to drive the development and deployment of next-generation AI solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI frameworks. This role is ideal for a mid-level engineer with strong technical depth, a passion for building, and the ability to lead small teams or workstreams in a fast-paced, innovation-driven environment. Required Qualifications * Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education. * 4 years of experience in software engineering or data science, with 2-3 years in Gen AI or LLM-based systems. * Strong Python programming skills and experience with ML/AI libraries (Hugging Face Transformers, LangChain, PyTorch). * Hands-on experience with vector databases (FAISS, Pinecone, Weaviate, Azure AI Search). * Familiarity with cloud platforms and Gen AI services (AWS, Azure, GCP). * Experience with REST API development (FastAPI, Flask) and containerization (Docker). * Solid understanding of AI governance, model safety, and prompt engineering. * This position is located in Bridgewater, NJ; Sunnyvale, CA; Austin, TX; Raleigh, NC; Richardson, TX; Tempe, AZ; Phoenix, AZ; Charlotte, NC; Houston, TX; Denver, CO; Hartford, CT; New York, NY, Palm Beach, FL; Tampa, FL or Alpharetta, GA, or is willing to relocate. * Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time Key Responsibilities * Design, develop, and deploy Gen AI applications using LLMs and agentic frameworks (e.g., LangGraph, AutoGen, Crew AI). * Fine-tune open-source and proprietary LLMs using techniques like LoRA, QLoRA, and PEFT. * Build and optimize RAG pipelines with hybrid retrieval, semantic chunking, and vector search. * Integrate Gen AI solutions with cloud-native services (AWS Bedrock, Azure OpenAI, GCP Vertex AI). * Work with unstructured data (PDFs, HTML, audio, images) and multimodal models. * Implement LLMOps practices including prompt versioning, caching, observability, and cost tracking. * Evaluate model performance using tools like RAGAS, DeepEval, and FMeval. * Collaborate with product managers, data engineers, and UX teams to deliver production-ready solutions. * Mentor junior engineers and contribute to code reviews, design discussions, and best practices. Preferred Qualifications: * Exposure to agentic workflows and autonomous agents. * Experience with CI/CD pipelines and DevOps tools (GitHub Actions, Jenkins, Terraform). * Familiarity with front-end integration (React, Angular, TypeScript) and GraphQL APIs. * Knowledge of model interpretability, bias mitigation, and human-in-the-loop systems. * Experience with multimodal models and perception systems (e.g., vision + language). The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face-to-face. Estimated annual compensation range for candidates in the below locations will be- Sunnyvale, CA; Bridgewater, NJ; New York, NY, Denver, CO: $73000 to $122275 Along with competitive pay, as a full-time Infosys employee, you are also eligible for the following benefits:- Medical/Dental/Vision/Life Insurance Long-term/Short-term Disability Health and Dependent Care Reimbursement Accounts Insurance (Accident, Critical Illness, Hospital Indemnity, Legal) 401(k) plan and contributions dependent on salary level Paid holidays plus Paid Time Off.
    $73k-122.3k yearly 18d ago

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