# Applied AI Engineer at TouchCare > United States · Unspecified · ML / AI · open. Source: https://alderhq.app/jobs/greenhouse%3Atouchcare%3A4200548009 (read 2026-11-10). ## Facts (observed) - Company: [TouchCare](https://alderhq.app/companies/touchcare) - Location text: Stamford, CT; Stamford, CT - Where it can be done from (inferred): United States (evidence: "Location: Stamford, CT; Stamford, CT") - Posted: 2026-03-25 (230 days ago) - First seen by alder: 2026-11-07 · last verified: 2026-11-07 - Reposted: 0 times · edited: 0 times - Apply on the employer's site: https://job-boards.greenhouse.io/touchcare/jobs/4200548009 ## Pay and sponsorship - Posted pay: not posted - Market band for similar posted roles (United States, n 735): p25 $183k, median $224k, p75 $275k ## Description (the employer's text) About TouchCare Every year, millions of Americans are overcharged, denied coverage they are entitled to, or simply give up on care they need because the system is too confusing to navigate. TouchCare exists to change that. For over a decade, we’ve provided 1.4M+ members with a dedicated healthcare concierge — a real person backed by smart technology who resolves billing disputes, coordinates care, and fights on behalf of members when the system works against them. We’re profitable, we’re growing, and the problem we’re solving is only getting more urgent. ### About the role The Applied AI Engineer, our internal AI Builder-Architect, is the technical owner of a TouchCare product pod. This is a mini-CTO of one TouchCare product. You make sure everything we build is technically sound: architecture, security, data, and code that holds up in production. You build hands-on with AI coding tools like Claude Code, and you'll likely write more code than anyone else in the pod. You'll start from a strong foundation: over a million members and a decade of healthcare navigation and claims data. The opportunity is to rebuild core workflows around what AI makes possible, with real users in production from day one. The work runs on two tracks. The platform track sets up our AI build infrastructure: the tools, environments, guardrails and practices that let a small team vibe code safely and fast. The product track puts that infrastructure to work, building new products and bringing our existing, more conventional products into the same AI-native way of working. You partner with a Product Lead, who champions the product: its research, strategy and design. You champion the technology. You both build, and that shared ground is what makes the pod fast. You report to the VP of Product, Innovation & AI Strategy. This isn't a traditional full-stack engineering job. We want an engineer who is also an AI builder and tinkerer, excited by how fast software can now be made. ### Problems you'll work on - Healthcare navigation agents that take on multi-step work like claims triage, benefits navigation and billing resolution, with people stepping in where judgment matters - A smarter workspace for our health assistants and member services team: routing, member and plan context at a glance, messaging, and a full audit trail - AI for members directly, including chat and voice experiences - An AI-native integration layer: partner integrations like ElevenLabs and many more to come, plus MCP servers for our own systems so AI agents can connect to them and to each other - The safety layer that makes all of this trustworthy in healthcare: evaluations, escalation paths and production monitoring ### What you'll do Platform track: build the AI build infrastructure - Set up the tools, repos, environments and deployment pipelines that let the team build with AI coding tools like Claude Code - Put guardrails in place: code review, testing, security and HIPAA-safe handling of member data, so speed never costs us trust - Build evaluation and observability for AI systems: quality evals, human-in-the-loop escalation, and monitoring of how protected health information flows - Design how our systems connect to AI: build and manage third-party integrations, and give our own systems an MCP architecture so agents and tools can interoperate across TouchCare - Define the practices, templates and shared components every pod builds on - Help our outsourced engineering team move onto the same AI-native tooling Product track: build and modernize products - Build new products with your Product Lead, from first prototype to production - Work directly with operations and member services on the workflows you're improving: claims, coverage issues, billing disputes and provider coordination - Bring existing, more conventional products into the AI-native ecosystem: assess their code, plan the path, and migrate them step by step - Own architecture, scalability, integrations and data for your pod - Turn the Product Lead's prototypes into software that holds up in production --- Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/greenhouse%3Atouchcare%3A4200548009 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.