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