VP, AI Engineering & Agent Platforms
Coherehealth · United States · 2026-07-01
About this role
<p><span style="font-size: 12pt;"><strong>Opportunity Overview:&nbsp;</strong></span></p> <p><span style="font-size: 12pt;">Reporting to the Chief Digital &amp; Technology Officer, the Vice President of AI Engineering &amp; Agent Platforms will lead the teams responsible for AI platform engineering, agent platforms, agent runtime systems, skills and prompt lifecycle management and framework, AI infrastructure, MLOps/LLMOps, and forward deployed AI engineering.</span></p> <p><span style="font-size: 12pt;">This role partners closely with the Chief Data &amp; AI Officer, who owns Cohere's AI strategy, model development, evaluation frameworks, prompt design and governance, skills requirements and behavior, knowledge management frameworks, and data science functions. The VP of AI Engineering &amp; Agent Platforms is responsible for operationalizing, scaling, deploying, and running those capabilities across Cohere's products and customer environments.</span></p> <p><span style="font-size: 12pt;">This leader will build the platforms, engineering systems, and deployment capabilities that enable Cohere to rapidly deliver AI-powered solutions while maintaining the reliability, security, and compliance required in healthcare.</span></p> <h2><span style="font-size: 12pt;"><strong>What You'll Do:</strong></span></h2> <h3><span style="font-size: 12pt;"><strong>Build and Scale Our AI Platform</strong></span></h3> <p><span style="font-size: 12pt;">Lead the engineering organization responsible for the foundational platforms and services that power Cohere's AI ecosystem.</span></p> <p><span style="font-size: 12pt;">Responsibilities include:</span></p> <ul> <li style="font-size: 12pt;"><span style="font-size: 12pt;">AI infrastructure and runtime platforms</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Agent orchestration, workflow, and execution services</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Document processing and knowledge ingestion pipelines</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">MLOps and LLMOps capabilities</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">AI observability, monitoring, and reliability</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Partnership with core teams to build AI native Developer platforms and engineering productivity tools&nbsp;</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Build and evolve Cohere's enterprise agent platform, enabling teams to rapidly develop, evaluate, deploy, govern, and operate AI agents at scale.</span></li> </ul> <h3><span style="font-size: 12pt;"><strong>Lead Agent Engineering</strong></span></h3> <p><span style="font-size: 12pt;">Build the frameworks, services, and reusable capabilities that enable teams to rapidly develop, test, deploy, and operate secure, observable, and production-ready AI-powered solutions.</span></p> <p><span style="font-size: 12pt;">Areas of focus include:</span></p> <ul> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Agent architectures, orchestration, and runtime frameworks</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Multi-agent systems and workflow automation</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Skills management and reusable action frameworks</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Evaluation, testing, and agent observability infrastructure</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Human-in-the-loop and supervised AI workflows</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Enterprise integrations and action surfaces</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Partnership in skills design with data science</span></li> </ul> <p><span style="font-size: 12pt;">Design and scale the engineering systems used to build, manage, deploy, and govern reusable agent skills across healthcare workflows.</span></p> <h3><span style="font-size: 12pt;"><strong>Lead Prompt and Skills Lifecycle Operations</strong></span></h3> <p><span style="font-size: 12pt;">Establish the platforms and operational capabilities required to manage AI behavior at scale.</span></p> <p><span style="font-size: 12pt;">Responsibilities include:</span></p> <ul> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Prompt lifecycle management</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Prompt deployment and versioning</span></li> <li style="font-size:…
Skills asked for
- data science
- aws
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