Gen AI / Agentic AI Lead
Infosys · Alpharetta, GA
- On site
- Full-time
- $122,275 / year
- Alpharetta, GA
Job highlights
- Lead Gen AI/Agentic AI development using LLMs and RAG.
- Requires 4 years of experience, 2-3 in Gen AI.
- Utilize Python, ML libraries, vector databases, cloud platforms.
- Develop and deploy AI solutions, mentor junior engineers.
- Competitive salary and comprehensive employee benefits package.
About the role
Gen AI / Agentic AI Lead
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.
Compensation and Benefits
Estimated annual compensation range for candidates in the below locations will be- Sunnyvale, CA; Bridgewater, NJ; New York, NY, Denver, CO: $73,000 to $122,275.
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.
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.
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.
Key skills/competency
- Gen AI / Agentic AI Lead
- LLMs
- RAG
- Python
- LangChain
- Vector Databases
- Cloud Platforms
- API Development
- AI Governance
- Prompt Engineering
Skills & topics
- Gen AI
- Agentic AI
- LLM
- RAG
- Python
- LangChain
- Vector Databases
- AI Governance
- Prompt Engineering
- Software Engineering
How to get hired
- Customize your resume: Highlight your 4+ years of software engineering/data science experience, emphasizing 2-3 years in Gen AI, LLMs, RAG, Python, and relevant ML/AI libraries like Hugging Face Transformers and LangChain.
- Showcase technical depth: Detail your hands-on experience with vector databases (FAISS, Pinecone, Weaviate, Azure AI Search) and cloud platforms (AWS, Azure, GCP). Mention API development (FastAPI, Flask) and containerization (Docker).
- Emphasize AI governance and leadership: Include your understanding of AI governance, model safety, prompt engineering, and any experience mentoring junior engineers or leading workstreams.
- Tailor your application: Clearly state your eligibility to work in the US without sponsorship and express enthusiasm for Infosys's innovation-driven environment.
Technical preparation
Behavioral questions
Frequently asked questions
- What specific Gen AI and Agentic AI frameworks are used at Infosys for this role?
- Infosys utilizes frameworks such as LangGraph, AutoGen, and Crew AI for developing Gen AI and Agentic AI solutions. The role also involves working with Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) pipelines.
- What are the primary programming languages and libraries required for the Gen AI / Agentic AI Lead position?
- The primary programming language is Python, with a strong emphasis on experience with ML/AI libraries like Hugging Face Transformers, LangChain, and PyTorch. Familiarity with REST API development using FastAPI or Flask is also expected.
- Does Infosys sponsor visas for the Gen AI / Agentic AI Lead role?
- No, Infosys is unable to provide immigration sponsorship for this role at this time. Candidates must be authorized to work for any employer in the United States without employer-based visa sponsorship.
- What experience is needed with vector databases for this Gen AI / Agentic AI Lead job?
- Hands-on experience with vector databases is required. This includes familiarity with tools like FAISS, Pinecone, Weaviate, and Azure AI Search for building and optimizing RAG pipelines.
- Can I apply for the Gen AI / Agentic AI Lead role if I have a degree in a related field but not a Bachelor's?
- Yes, Infosys will consider three years of progressive experience in the specialty in lieu of every year of education. This means significant relevant experience can substitute for a formal degree.
- What is the salary range for the Gen AI / Agentic AI Lead position in the specified locations?
- The estimated annual compensation range for this role in locations like Sunnyvale, CA; Bridgewater, NJ; New York, NY, and Denver, CO is $73,000 to $122,275.
- What are the key responsibilities for a Gen AI / Agentic AI Lead at Infosys?
- Key responsibilities include designing, developing, and deploying Gen AI applications, fine-tuning LLMs, building RAG pipelines, integrating with cloud services, implementing LLMOps, and mentoring junior engineers.
- What preferred qualifications would make my application stronger for the Gen AI / Agentic AI Lead role?
- Preferred qualifications include exposure to agentic workflows and autonomous agents, experience with CI/CD pipelines and DevOps tools, familiarity with front-end integration, and knowledge of model interpretability and bias mitigation.