Lead AI Engineer

US staffing Inc; California; On-site; USD 180,000 - 260,000; Full time

Job summary

US staffing Inc is seeking a Lead AI Engineer to architect, lead, and deliver production-grade Agentic AI solutions for enterprise use in California. You will drive solution design, guide development teams, and ensure scalable, secure deployments.

You will work with LangGraph, LangChain, LLMs and modern data pipelines, leading cross-functional initiatives and communicating with stakeholders to align technical outcomes with business goals.

Qualifications

• 10+ years as Lead AI Engineer or similar senior role.
• 5+ years in AI/ML.
• 1+ years building Agentic AI solutions.
• Strong Python and modern software practices.
• Hands-on with LangGraph, LangChain, LLMs, and prompt engineering.
• Experience 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.

Responsibilities

• Architect and deliver production-grade Agentic AI systems for enterprise use.
• Lead and mentor development teams to implement scalable AI solutions.
• Ensure deployments are scalable, secure, and reliable in production.
• Guide solution design and drive cross-team collaboration.
• Collaborate with stakeholders to align technical outcomes with business goals.

Skills

Lead AI Engineer

AI/ML

Agentic AI

Python

LangGraph

LangChain

LLMs

Prompt Engineering

Enterprise AI

Azure AI Foundry

AWS Bedrock

Google Gemini Enterprise

APIs

Event-driven

CI/CD

Cloud deployment

Leadership

Stakeholder management

Communication

Enterprise data integration

Tools

Databricks

MLOps / LLMOps

Enterprise AI Governance

AI Monitoring

AI Architecture & Strategy

Job description

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.

Must-Have Skills

• 10+ years of experience in Lead AI Engineer
• 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