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