Lead AI Engineer (Agentic AI)

Lead AI Engineer (Agentic AI)
Location: Santa Clara, CA (SCLA)
Job Type: Contract

Job Summary

We are seeking an experienced Lead AI Engineer to lead the design, architecture, and delivery of enterprise-grade Agentic AI solutions. The ideal candidate will have strong expertise in building production-ready AI agents, multi-agent orchestration, LLM integrations, and cloud-native AI platforms. This is a hands-on technical leadership role responsible for driving AI solution architecture, mentoring engineering teams, and delivering scalable, secure, and reliable AI applications.

Key Responsibilities

• Lead the architecture and design of enterprise Agentic AI solutions.
• Design and build AI agents and multi-agent systems using LangGraph and LangChain.
• Develop intelligent workflows leveraging multiple LLMs including GPT, Claude, and Llama.
• Provide technical leadership and establish engineering best practices.
• Build enterprise APIs, event-driven services, and scalable AI integrations.
• Drive deployment, operationalization, monitoring, and scalability of AI applications.
• Collaborate with platform, security, product, and data teams.
• Utilize AI-assisted development tools such as Claude Code and Codex to improve engineering productivity.
• Ensure enterprise security, governance, and compliance standards are followed.

Required Skills

• 5+ years of experience in AI/ML engineering.
• Minimum 1 year of hands-on experience building Agentic AI solutions.
• Strong Python programming skills.
• Expertise with LangGraph, LangChain, Prompt Engineering, and LLMs.
• Experience designing and deploying enterprise AI applications.
• Hands-on experience with Azure AI Foundry, AWS Bedrock, Google Gemini Enterprise, or similar AI platforms.
• Strong understanding of REST APIs, Event-Driven Architecture, CI/CD, Git, and Cloud Deployment.
• Proven technical leadership and solution architecture experience.
• Excellent communication and stakeholder management skills.
• Experience integrating enterprise data into AI applications.

Preferred Skills

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