Lead AI Engineer
Santa Clara, CA
Date Posted:23-Jul-2026
Work Type:On-Site
Job Number:492745
Job Description
Position: Lead AI Engineer
Location: Santa Clara, CA
Duration: 6 Months
Job Description:
The 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.
Responsibilities:
Required:
Preferred:
Location: Santa Clara, CA
Duration: 6 Months
Job Description:
The 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.
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
Required:
- 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.
Preferred:
- Databricks
- MLOps/LLMOps
- Enterprise AI Governance and Security
- AI Monitoring and Observability
- Enterprise AI Architecture and Strategy
Applicant Notices & Disclaimers
- For information on benefits, equal opportunity employment, and location-specific applicant notices, click here
At SPECTRAFORCE, we are committed to maintaining a workplace that ensures fair compensation and wage transparency in adherence with all applicable state and local laws. This position's pay range is $45.00/hr – $50.00/hr.