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 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.

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.