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Lead AI Engineer (Agentic AI)

Pacific Consultancy ServicesSanta Clara, CA🇺🇸United StatesPosted 22 Jul 2026

Why This Role Stands Out

Lead cutting-edge Agentic AI solutions using advanced LLMs and frameworks like LangGraph and LangChain, offering hybrid flexibility and significant technical leadership opportunities. You'll thrive in this role if you're a seasoned AI engineer passionate about building production-ready AI agents and mentoring teams to deliver scalable, secure applications. Apply now to shape the future of enterprise AI!

Quick Overview

Work Type
Hybrid
Level
Mid Senior

Job Description

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

Skills

AWS
MLOps
Azure
Databricks
GPT
Git
LLM
Python
REST
Stakeholder Management

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