Job Title: AI Platform Engineer
Job Location: Hybrid (3 days onsite, 2 days remote), Chicago, IL
Travel: Occasional international travel required
Job Duration: Long Term Contract
Job Summary:
We are seeking an AI Platform Engineer to build and scale enterprise AI platform capabilities that enable multiple product teams. This role focuses on developing production-ready AI solutions, creating reusable platform components, establishing governance and quality standards, and enabling AI adoption across the organization.
Required Skills:
Strong Python development experience. Hands-on experience building and deploying production-grade AI/LLM or Agentic AI solutions. Experience evaluating AI systems and maintaining quality for non-deterministic applications. Strong software engineering fundamentals with production deployment experience. Systems-level thinking with the ability to build reusable platform capabilities rather than single-product solutions. Enablement mindset with experience supporting engineering teams through common patterns, tooling, and best practices.
Preferred Skills:
Experience with Agentic AI or multi-agent workflows. Intelligent Document Processing (IDP) experience. Background in AI platform engineering, AI enablement, or AI architecture. Experience with .NET, React, or Angular is a plus. Background as a Data Scientist with strong engineering skills or a Full Stack Engineer with AI experience.
Key Responsibilities:
Build reusable AI platform components, tooling, and guardrails for multiple product teams. Define AI governance, evaluation frameworks, and quality standards. Enable engineering teams through shared AI capabilities, documentation, and training. Partner with architects to standardize AI development practices across the organization. Support the rollout of SDLC and AI governance processes while driving platform adoption.
