Vice President of AI Engineering & Agent Platforms, Cohere Health

• 15+ years of software engineering experience, including significant leadership responsibility
• Experience leading large-scale platform, infrastructure, or AI engineering organizations
• Proven track record building and operating cloud-native, data-rich products and platforms
• Experience deploying AI-powered applications into production environments
• Experience with AWS or other modern cloud-native technologies
• Healthcare or other highly regulated industry experience
• Deep understanding of distributed systems, platform engineering, and modern software architecture
• Experience building and leading high-performing engineering teams
• A platform builder who thinks in systems, scale, and reusable capabilities
• Passionate about turning innovation into reliable, production-ready products
• Customer-focused and outcome-oriented
• Comfortable leading through rapid growth and organizational change
• Equally effective in technical architecture reviews and executive discussions
• Excited about helping define the future of agentic AI in healthcare

Desirable

• Reporting to the Chief Digital & Technology Officer, the Vice President of AI Engineering & 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
• This role partners closely with the Chief Data & 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 & Agent Platforms is responsible for operationalizing, scaling, deploying, and running those capabilities across Cohere's products and customer environments
• 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
• Build and Scale Our AI Platform
• Lead the engineering organization responsible for the foundational platforms and services that power Cohere's AI ecosystem
• Responsibilities include:
• AI infrastructure and runtime platforms
• Agent orchestration, workflow, and execution services
• Document processing and knowledge ingestion pipelines
• MLOps and LLMOps capabilities
• AI observability, monitoring, and reliability
• Partnership with core teams to build AI native Developer platforms and engineering productivity tools
• Build and evolve Cohere's enterprise agent platform, enabling teams to rapidly develop, evaluate, deploy, govern, and operate AI agents at scale
• Lead Agent Engineering
• 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
• Areas of focus include:
• Agent architectures, orchestration, and runtime frameworks
• Multi-agent systems and workflow automation
• Skills management and reusable action frameworks
• Evaluation, testing, and agent observability infrastructure
• Human-in-the-loop and supervised AI workflows
• Enterprise integrations and action surfaces
• Partnership in skills design with data science
• Design and scale the engineering systems used to build, manage, deploy, and govern reusable agent skills across healthcare workflows
• Lead Prompt and Skills Lifecycle Operations
• Establish the platforms and operational capabilities required to manage AI behavior at scale
• Prompt lifecycle management
• Prompt deployment and versioning
• Prompt testing infrastructure
• Skills deployment and governance
• Agent configuration management
• AI release management and rollback capabilities
• Scale a Forward Deployed AI Engineering Organization
• Lead a team of customer-facing engineers responsible for deploying and operationalizing Cohere's AI solutions within customer environments
• This organization partners closely with customers to:
• Implement AI-powered workflows
• Integrate with enterprise systems
• Accelerate adoption and value realization
• Establish repeatable deployment patterns that enable scale
• Support complex customer implementations and transformations
• Drive Operational Excellence
• Establish engineering best practices, platform standards, and operational processes that allow Cohere to scale AI safely and efficiently across customers, products, and healthcare workflows
• Partner closely with Product, Clinical Operations, Customer Success, Security, and the Chief Data & AI Officer's organization to ensure AI capabilities move efficiently from concept to production

• Connect with Talent Acquisition for a Preliminary Phone Screening
• Meet your Hiring Manager!
• Behavioral Interview(s)