> Markdown version of [/jobs/ext/3278966-ai-platform-engineer](https://www.wearedevelopers.com/jobs/ext/3278966-ai-platform-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Platform Engineer - **Company:** Zelis Healthcare - **Location:** Boston, MA, United States - **Salary:** $180,000.0 - $247,500.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Audit Trail, Cloud Computing, Computer Programming, Continuous Integration, Programming Tools, Distributed Systems, Python (Programming Language), Key Management, Open Source Technology, TypeScript, AI Infrastructure, Policy as Code, Large Language Models, Multi-Agent Systems, Model Validation, AI Platforms, Kubernetes, Infrastructure Automation Frameworks, Golang - **Published:** September 29, 2026 - **Apply:** https://diversityjobs.com/main/sendform/8/8/28176/1/18473920?backUrl=%2Fcareer%2F18473920%2FAi-Platform-Engineer-Massachusetts-Boston ## About the Role * Strong software or platform engineering experience, including building and operating production systems used by other engineers. * Experience with distributed systems, AWS and cloud infrastructure, container orchestration, CI/CD, infrastructure as code, APIs, and observability. * Hands-on experience building with modern AI technologies such as foundation models, AI gateways, agent frameworks or harnesses, model evaluation, MCP, retrieval/context systems, or safe execution environments. * Strong programming skills in Python, TypeScript, Java, Go, or another modern language, with the ability to move comfortably between application and platform code. * A practical understanding of model behavior, evaluation, prompt and tool design, token and latency tradeoffs, and model-provider integration. * Experience assessing new technologies with an eye toward security, reliability, maturity, cost, maintainability, and long-term platform value-not simply technical novelty. * An understanding of identity, secrets management, network boundaries, audit logging, and policy enforcement in enterprise environments. * The ability to work through ambiguity, run focused experiments, make clear technical decisions, and adjust course based on what you learn in production. * Strong communication skills and an interest in working directly with engineers, product partners, security, architecture, and senior stakeholders to drive adoption. * Experience building an internal developer platform, AI or agent platform, or engineering productivity product is especially relevant. Experience operating in healthcare, financial services, or another highly regulated environment is helpful but not required. ## Description * 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 control plane. * Learn from real-world use. Work closely with forward-deployed/agentic AI and business-unit engineers, understand what is working and where they are getting stuck, and turn repeatable patterns into reusable platform capabilities. What You'll Bring We care less about matching every technology on a checklist and more about finding someone who has built complex systems, thinks clearly about tradeoffs, and is energized by the opportunity to help define how AI engineering should work at scale. ## Related Videos - [Go with the Flow: Stop the Leaks Before Your Memory's a Waterfall!](https://www.wearedevelopers.com/videos/100073-go-with-the-flow-stop-the-leaks-before-your-memory-s-a-waterfall) - [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way) - [Do TypeScript without TypeScript](https://www.wearedevelopers.com/videos/327-do-typescript-without-typescript) - [The Private AI Platform: Why Agentic Apps Need a Private Application Platform](https://www.wearedevelopers.com/videos/100162-the-private-ai-platform-why-agentic-apps-need-a-private-application-platform) - [Scoring 2000 Products per Request: Performance Pitfalls in Golang](https://www.wearedevelopers.com/videos/2073-scoring-2000-products-per-request-performance-pitfalls-in-golang) - [AI-Augmented DevOps with Platform Engineering](https://www.wearedevelopers.com/videos/1614-ai-augmented-devops-with-platform-engineering) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [What is Software Engineering in the Age of AI?](https://www.wearedevelopers.com/magazine/640-what-is-software-engineering-in-the-age-of-ai) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path)