AI Engineer

Tata Consultancy Services; Santa Clara (CA); On-site; USD 64,000 - 115,000; Full time

Job summary

Tata Consultancy Services in Santa Clara, CA, seeks an experienced AI/ML engineer to drive Agentic AI initiatives, architect scalable solutions, and lead delivery across multiple LLMs and cloud platforms.

The role requires hands-on Python, LangGraph, LangChain, and strong collaboration with stakeholders to align engineering with business goals.

Qualifications

• 5+ years of experience in AI/ML.
• 1+ years of experience building Agentic AI solutions.
• Strong Python and modern software engineering practices.
• Hands-on experience with LangGraph, LangChain, LLMs, and prompt engineering.
• Experience architecting and deploying enterprise AI applications.
• Familiarity with Azure AI Foundry, AWS Bedrock, Google Gemini Enterprise, or similar platforms.
• Strong understanding of APIs, event-driven architectures, CI/CD, and cloud deployment.
• Proven ability to lead technical initiatives and drive solution delivery.
• Excellent communication, stakeholder management, and problem-solving skills.
• Experience with enterprise data integration and AI application deployment.

Responsibilities

• Lead architecture and solution design for Agentic AI applications.
• Build and oversee development of AI agents and multi-agent systems using LangGraph and LangChain.
• Design and optimize AI workflows across multiple LLMs (GPT, Claude, Llama, etc.).
• Guide engineering teams and establish development best practices.
• Develop enterprise integrations, APIs, and event-driven AI services.
• Drive deployment, operationalization, and scalability of AI applications.
• Coordinate with platform, security, data, and product teams to ensure successful delivery.
• Leverage AI-assisted development tools such as Claude Code and Codex to accelerate engineering productivity.

Skills

AI/ML

Agentic AI

Python

LangGraph

LangChain

LLMs

Prompt engineering

Enterprise AI

Azure AI Foundry

CI/CD

Cloud deployment

APIs

Communication

Stakeholder management

Tools

LangGraph

LangChain

Claude Code

Codex

Databricks

Job description

Job Description

Must Have Technical/Functional Skills:

• 5+ years of experience in AI/ML.
• 1+ years of experience building Agentic AI solutions.
• Strong expertise in Python and modern software engineering practices.
• Hands-on experience with LangGraph, LangChain, LLMs, and prompt engineering.
• Experience architecting and deploying enterprise AI applications.
• Familiarity with Azure AI Foundry, AWS Bedrock, Google Gemini Enterprise, or similar platforms.
• Strong understanding of APIs, event-driven architectures, CI/CD, and cloud deployment.
• Proven ability to lead technical initiatives and drive solution delivery.
• Excellent communication, stakeholder management, and problem-solving skills.
• Experience with enterprise data integration and AI application deployment.

Roles & Responsibilities

• Lead architecture and solution design for Agentic AI applications.
• Build and oversee development of AI agents and multi-agent systems using LangGraph and LangChain.
• Design and optimize AI workflows across multiple LLMs (GPT, Claude, Llama, etc.).
• Guide engineering teams and establish development best practices.
• Develop enterprise integrations, APIs, and event-driven AI services.
• Drive deployment, operationalization, and scalability of AI applications.
• Coordinate with platform, security, data, and product teams to ensure successful delivery.
• Leverage AI-assisted development tools such as Claude Code and Codex to accelerate engineering productivity.

Good-to-Have Skills

• Databricks
• MLOps / LLMOps
• Enterprise AI Governance and Security
• AI Monitoring and Observability
• Enterprise AI Architecture and Strategy

Salary Range

$64,000 - $115,000 a year