Lead AI Engineer

Role: Lead AI Engineer(23332-1)
Duration: 6-12 Months Contract
Location Santa Clara, CA
Onsite Requirement Yes
Number of days onsite 5 days

Must Have Skills
Skill 1 Lead architecture and solution design for Agentic AI applications
Skill 2 Design and optimize AI workflows across multiple LLMs (GPT, Claude, Llama, etc.).
Skill 3 Leverage AI-assisted development tools such as Claude Code and Codex to accelerate engineering productivity

Good To have Skills
Skill 1 Strong expertise in Python and modern software engineering practices

Lead AI Engineer to architect, lead, and deliver production-grade Agentic AI solutions for enterprise use. The individual will drive solution design, guide development teams, build multi-agent AI systems, and ensure scalable, secure, and reliable deployment in production environments.

Scope of Work
" 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.

Must-Have 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.

Good-to-Have Skills
" Databricks
" MLOps / LLMOps
" Enterprise AI Governance and Security
" AI Monitoring and Observability
" Enterprise AI Architecture and Strategy