Tata Consultancy Services
GenAI Architect (AI/ML)
Tata Consultancy Services, Sunnyvale, California, United States, 94087
GenAI Architect (AI/ML)
5+ years of experience in the IT industry with a solid understanding of enterprise systems and architectures.
Job Description
Experience in architecting and building GenAI as well as classical AI solutions.
R&D mindset to constantly understand industry trends and develop scalable AI architecture.
Experience building GenAI solutions including Retrieval-Augmented Generation (RAG), Graph RAG, and agentic AI.
Hands‑on experience building agentic workflows using LangChain, LanGraph, or Google ADK.
Understanding of different agentic design patterns.
Benchmarking various LLMs, both open‑source and cloud‑hosted.
Knowledge of MCP client‑server architecture.
Proficiency in Python.
Experience building REST APIs in Flask or FastAPI.
Experience with LLM evaluation methodologies.
Understanding of DevOps and MLOps, including Docker and Kubernetes.
Classical AI (Good to have)
Understanding of shallow learning and deep learning models.
Experience in solving problems related to structured data modeling, NLP, and computer vision.
Familiarity with MLOps frameworks and concepts.
Salary Range: $120,000 - $220,000 a year
Qualifications Bachelor of Technology (B.Tech).
Seniority level Mid‑Senior level
Employment type Full-time
Job function
Design, Art/Creative, and Information Technology
IT Services and IT Consulting
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Job Description
Experience in architecting and building GenAI as well as classical AI solutions.
R&D mindset to constantly understand industry trends and develop scalable AI architecture.
Experience building GenAI solutions including Retrieval-Augmented Generation (RAG), Graph RAG, and agentic AI.
Hands‑on experience building agentic workflows using LangChain, LanGraph, or Google ADK.
Understanding of different agentic design patterns.
Benchmarking various LLMs, both open‑source and cloud‑hosted.
Knowledge of MCP client‑server architecture.
Proficiency in Python.
Experience building REST APIs in Flask or FastAPI.
Experience with LLM evaluation methodologies.
Understanding of DevOps and MLOps, including Docker and Kubernetes.
Classical AI (Good to have)
Understanding of shallow learning and deep learning models.
Experience in solving problems related to structured data modeling, NLP, and computer vision.
Familiarity with MLOps frameworks and concepts.
Salary Range: $120,000 - $220,000 a year
Qualifications Bachelor of Technology (B.Tech).
Seniority level Mid‑Senior level
Employment type Full-time
Job function
Design, Art/Creative, and Information Technology
IT Services and IT Consulting
#J-18808-Ljbffr