VP, AI Engineering & Agent Platforms
Cohere Health
$280,000–$340,000from the description
Jul 2, 2026
—
Jul 21, 2026
What this job asks for AI summary
A senior engineering leadership role at a healthcare AI company, responsible for building and operating the platforms that underpin AI agents, prompt lifecycle management, MLOps/LLMOps, and AI infrastructure. The position also oversees a customer-facing engineering team that deploys AI solutions within enterprise health plan and provider environments. It suits an experienced engineering executive with a background in large-scale platform or AI infrastructure work, ideally in regulated industries.
Principal level · 15+ years · Remote · Full-time
“or” means any one of them counts — you don't need all of them.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 4,200 people nationally plausibly meet what this posting asks for (computer and information systems managers). range 1,750–6,300
Applicant volume Heavy — This req sits in a large pool with little in its requirements to thin it, and auto-apply tools fire at everything in the occupation. Applying early and leading with the rare skills below is what gets read.
What the occupation pays Median $178,991 (middle half $141,096–$225,584). This posting is about at that midpoint.
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (6)
This is a VP-level people-management role with direct ownership of multiple engineering organizations (AI platform, agent platforms, MLOps/LLMOps, forward deployed engineering), clearly mapping to 11-3021. The alt code 15-1299 reflects the deep hands-on AI/platform architecture dimension, but people leadership is the primary function.
AWS is listed in the Must-Haves section with 'or other modern cloud-native technologies', so AWS is the named gate with Azure and GCP as named alternatives.
MLOps/LLMOps, generative AI, agentic systems, agent platforms, AI infrastructure, and forward deployed engineering experience all appear under the 'Nice-to-Haves' section and are marked preferred accordingly.
Healthcare or other highly regulated industry experience is listed as a Must-Have but names no specific technology or tool, so it is captured in notes rather than as a skill entry.
The role is explicitly described as remote-first with ~15% travel, primarily to Boston, MA; per caller instruction, no metro is inferred and remote=true is set.
Caller marked this a fully-remote role — scored against the national candidate pool.
Read the full posting
The employer publishes the full description on their own site — read it there ↗. Or sign in to read it here — it's free, and it also lets you track this application.