Gen AI​/Agentic AI Lead

Position: Gen AI / Agentic AI Lead
Job Description

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 work streams 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, Lang Chain, 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., Lang Graph, Auto Gen, 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, Deep Eval, 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 Dev Ops tools (Git Hub Actions, Jenkins, Terraform).

* Familiarity with front-end integration (React, Angular, Type Script) and Graph

QL 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.