Senior AI Platforms Engineer

hatch I.T. is partnering with Expression to find a Senior AI Platforms Engineer
. See details below:

Expression is seeking an experienced Senior AI Platform Engineer to join their Product Team and contribute to the evolution of their Agentic AI platform. We are building an enterprise-grade platform for their National Security and Federal Civilian customers that moves Generative AI from "chatting" to "doing". This platform is the intelligent backbone for their semi‑autonomous agents and the AI governance framework that manages them.

The ideal candidate thrives in a highly technical, collaborative environment and has a strong bias for action. You are comfortable taking ownership, elevating your team through clear communication and solid technical judgment, and continually improving how we build their platform.

Security Clearance: Eligible to obtain Secret or Top Secret Clearance (U.S citizenship required)

• Contribute to the design and evolution of Expression's Agentic AI platform by defining scalable architectures for enterprise AI applications and services, including system architecture, core platform components, tooling, automation, coding standards, and platform performance, scalability, and reliability.
• Architect, deliver, and optimize production‑grade LLM services, agent workflows, orchestration layers, retrieval pipelines, and vector search technologies.
• Provide technical leadership and mentorship: guide architecture and design reviews, grow engineers, and raise the bar for engineering quality and technical decision‑making across the team.
• Develop high‑performance Python APIs and scalable backend services using FastAPI, asynchronous programming techniques, and modern software engineering practices. Set the technical direction and engineering standards for high‑performance, scalable backend services and APIs, and champion modern software engineering best practices across the team.
• Build and maintain the underlying AI platform that supports secure, observable, resilient, and production‑ready AI workloads.
• Design and implement AI governance capabilities, including guardrails, policy enforcement, model lifecycle management, responsible AI practices, and compliance with federal security and governance requirements.
• Develop automated testing and evaluation strategies for AI‑enabled applications, including prompt evaluation, model evaluation, regression testing, integration testing, and quality assurance.
• Implement LLM observability, monitoring, logging, telemetry, performance metrics, and resilience strategies to ensure reliable production operation.
• Design, implement, and maintain CI/CD pipelines and deployment automation. Define and drive CI/CD and deployment automation strategy to support secure, efficient delivery of AI services.
• Collaborate with Product, UX, Infrastructure, Security, and other cross‑functional teams to continuously improve platform capabilities and deliver customer‑focused solutions.
• Collaborate with clients, lead product demonstrations, and communicate technical concepts and platform capabilities to both technical and executive audiences.
• Produce clear technical documentation, architecture diagrams, design proposals, and other engineering artifacts.

• Bachelor degree in Computer Science, Software Engineering, Information Systems, Data Science, or related fields. An advanced degree is preferred.
• 8–10+ years of professional experience in Software Engineering designing and building enterprise software platforms.
• Demonstrated technical leadership: leading architecture and design for complex production platforms, mentoring engineers, and driving technical decisions across teams.
• Hands‑on experience designing and building agent orchestration and LLM workflows (custom or framework‑based); hands‑on experience with frameworks such as Lang Graph, Lang Chain, CrewAI, or Strands is useful but not required.
• Expert‑level Python, including asyncio and asynchronous programming, FastAPI, Pydantic, type hinting, and modern development practices.
• Strong proficiency in Type Script and Node.js for building production platform services, APIs, and SDKs.
• Proven experience…