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AI Platform Engineer

Job in Boston, Suffolk County, Massachusetts, 02298, USA
Listing for: Zelis
Full Time position
Listed on 2026-10-17
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Software Engineer, DevOps, Backend Developer
Salary/Wage Range or Industry Benchmark: 180000 - 248000 USD Yearly USD 180000.00 248000.00 YEAR
Job Description & How to Apply Below

At Zelis, we Get Stuff Done. So, let’s get to it!

A Little About Us

Zelis is modernizing the healthcare financial experience across payers, providers, and healthcare consumers. We serve more than 750 payers, including the top five national health plans, regional health plans, TPAs and millions of healthcare providers and consumers across our platform of solutions. Zelis sees across the system to identify, optimize, and solve problems holistically with technology built by healthcare experts – driving real, measurable results for clients.

A

Little About You

You bring a unique blend of personality and professional expertise to your work, inspiring others with your passion and dedication. Your career is a testament to your diverse experiences, community involvement, and the valuable lessons you've learned along the way. You are more than just your resume; you are a reflection of your achievements, the knowledge you've gained, and the personal interests that shape who you are.

Position Overview

Healthcare is one of the most complex industries in the world, and one of the biggest opportunities for AI to create meaningful impact.

Why Zelis?

Zelis sits at the center of the healthcare financial ecosystem, connecting payers, providers, and millions of healthcare consumers. We’re investing in AI not simply as a productivity tool, but as a new way to build technology and solve complex business problems.

At the center of that work is Apollo, our internal agentic AI platform. Apollo gives engineers the infrastructure, tools, controls, and reusable capabilities they need to safely build and deploy AI-powered applications across Zelis.

We’re looking for a hands-on AI Platform Engineer to help build it. You’ll join while the platform is still taking shape and have meaningful influence over the technical foundations other engineers will build on.

What You’ll Do

This role sits at the intersection of AI, platform engineering, developer experience, and enterprise-scale delivery. You’ll help turn rapidly evolving AI capabilities into dependable platform primitives that engineers across Zelis can use to build real applications.

You’ll have significant influence over how Apollo evolves—from the agent harness and execution environment to model and tool governance, context, observability, evaluation, and developer experience.

You Will
  • Build the core agentic platform. Design and evolve capabilities across agent execution, workflow state and orchestration, context assembly, model routing, tool contracts, evaluation, observability, policy enforcement, and automated repair loops.
  • Create safe execution environments. Build and operate isolated agent runtimes across containerized, local, and simulation environments, supporting persistent sessions, testing, previews, adversarial review, and diagnose-and-repair workflows.
  • Develop reusable platform services. Help shape capabilities such as our AI Gateway, Context Engine, policy profiles, semantic models, project bootstrap tools, observability, and delivery integrations.
  • Make thoughtful technology bets. Evaluate emerging foundation models, coding agents, MCP technologies, workflow engines, developer tools, and commercial and open-source platforms. Run disciplined experiments and turn the right ones into supported Apollo capabilities.
  • Make security and governance part of the platform. Build identity‑aware access, isolation, policy-as-code, auditability, and controls for model and tool usage so engineers can move quickly without creating unnecessary risk.
  • Design for developers. Create clear APIs, interfaces, documentation, and paved paths that allow application engineers to take advantage of sophisticated AI infrastructure without needing to understand every element of the underlying…
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