Cohere Health Logo

Cohere Health

VP, AI Engineering & Agent Platforms

Posted An Hour Ago
Be an Early Applicant
Easy Apply
Remote
Hiring Remotely in United States
280K-340K Annually
Expert/Leader
Easy Apply
Remote
Hiring Remotely in United States
280K-340K Annually
Expert/Leader
Lead and scale AI platform and agent engineering teams to build AI infrastructure, agent runtimes, MLOps/LLMOps, prompt and skills lifecycle management, and forward-deployed engineering for healthcare customers. Drive platform reliability, security, observability, enterprise integrations, and operational excellence to deploy AI-powered solutions at scale.
The summary above was generated by AI

Opportunity Overview: 

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.

What You'll Do: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.

Responsibilities include:

  • 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.

What you’ll need:

Must-Haves

  • 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
Nice-to-Haves
  • Experience with generative AI, agentic systems, and AI platform development
  • Experience building agent platforms, skills frameworks, or AI developer platforms
  • Experience with MLOps, LLMOps, AI infrastructure, and developer tooling
  • Experience working directly with enterprise customers on complex technical implementations
  • Track record developing data-rich applications leveraging structured and unstructured data
  • Experience leading customer-facing engineering or forward deployed engineering organizations
Leadership Characteristics

The ideal candidate is:

  • 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

This is a remote-first role that may require travel to Boston, MA for new hire onboarding and occasional in-person team meetings and company events.


Pay & Perks:

💻 Fully remote opportunity with about 15% travel

🩺 Medical, dental, vision, life, disability insurance, and Employee Assistance Program 

📈 401K retirement plan with company match; flexible spending and health savings account 

🏝️ Flex Time Off + company holidays

👶 Up to 14 weeks of paid parental leave 

🐶 Pet insurance  


The salary range for this position is $280,000 to $340,000 annually; as part of a total benefits package which includes health insurance, 401k and bonus. In accordance with state applicable laws, Cohere is required to provide a reasonable estimate of the compensation range for this role. Individual pay decisions are ultimately based on a number of factors, including but not limited to qualifications for the role, experience level, skillset, and internal alignment. 

Interview Process*:

  1. Connect with Talent Acquisition for a Preliminary Phone Screening
  2. Meet your Hiring Manager!
  3. Behavioral Interview(s)

*Subject to change


About Cohere Health:

Cohere Health’s clinical intelligence platform and agentic AI-powered solutions connect health plans’ strategic goals and providers’ needs, optimizing the speed, cost, and quality of care. With an enterprise approach that streamlines payer-provider decision-making across the care continuum–including policy, prior authorization, payment accuracy, and more–the company improves collaboration and reduces burden, resulting in up to 8x ROI and 94% provider satisfaction. 

With the acquisition of ZignaAI, we’ve further enhanced our platform by launching our Payment Integrity Suite, anchored by Cohere Validate™, an AI-driven clinical and coding validation solution that operates in near real-time. By unifying pre-service authorization data with post-service claims validation, we’re creating a transparent healthcare ecosystem that reduces waste, improves payer-provider collaboration and patient outcomes, and ensures providers are paid promptly and accurately.

Cohere Health’s innovations continue to receive industry wide recognition. We’ve been named to the 2025 Inc. 5000 list and in the Gartner® Hype Cycle™ for U.S. Healthcare Payers (2022-2025), and ranked as a Top 5 LinkedIn™ Startup for 2023 & 2024. Backed by leading investors such as Deerfield Management, Define Ventures, Flare Capital Partners, Longitude Capital, and Polaris Partners. 

The Coherenauts, as we call ourselves, who succeed here are empathetic teammates who are candid, kind, caring, and embody our core values and principles. We believe that diverse, inclusive teams make the most impactful work. Cohere is deeply invested in ensuring that we have a supportive, growth-oriented environment that works for everyone.

We can’t wait to learn more about you and meet you at Cohere Health!

Equal Opportunity Statement: 

Cohere Health is an Equal Opportunity Employer. We are committed to fostering an environment of mutual respect where equal employment opportunities are available to all.  To us, it’s personal.



#LI-Remote

#BI-Remote

Similar Jobs at Cohere Health

Yesterday
Easy Apply
Remote
United States
Easy Apply
220K-245K Annually
Senior level
220K-245K Annually
Senior level
Healthtech • Software
Lead and grow a distributed engineering team to build and scale AI platforms and agents for healthcare. Own technical strategy, data/retrieval/semantic architectures, ML model serving and MLOps, and deliver HIPAA-compliant, cloud-native systems in partnership with Product, Data Science, and Clinical teams.
Top Skills: Ai AgentsCloud-NativeData ArchitectureDistributed SystemsInference OptimizationMlopsModel ServingSemantic Retrieval
Yesterday
Easy Apply
Remote
United States
Easy Apply
225K-245K Annually
Senior level
225K-245K Annually
Senior level
Healthtech • Software
The Staff Machine Learning Engineer will lead ML initiatives, develop ML systems, collaborate with cross-functional teams, and mentor junior engineers to optimize healthcare intake workflows using advanced machine learning techniques.
Top Skills: AWSCloud PlatformsDeep LearningMachine LearningPythonPyTorch
Yesterday
Easy Apply
Remote
United States
Easy Apply
72K-82K Annually
Mid level
72K-82K Annually
Mid level
Healthtech • Software
As a Claims Auditor, you will conduct MS-DRG and APR-DRG coding reviews, ensuring the accuracy of claims to maximize overpayment identification while adhering to coding guidelines and compliance regulations.
Top Skills: Aha Coding Clinic GuidelinesDrg Encoder ToolsIcd-10-Cm

What you need to know about the Austin Tech Scene

Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.

Key Facts About Austin Tech

  • Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
  • Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
  • Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
  • Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account