VP, AI Enablement & Agent Platform
il y a 4 jours
New York
Job Description Datavant is the data collaboration platform trusted for healthcare. Guided by our mission to make the world's health data secure, accessible and actionable, we provide critical data solutions for organizations across the healthcare ecosystem - including providers, health plans, researchers, and life sciences companies. From fulfilling a single patient's request for their medical records to powering the AI revolution in healthcare, Datavanters are building the future of how data is connected and used to improve health. By joining Datavant today, you're stepping onto a driven and highly collaborative team that is passionate about creating transformative change in healthcare. Role Overview The VP of AI Enablement & Agent Platform owns the infrastructure, standards, and organizational enablement required to deploy AI agents at enterprise scale. This includes agent hosting and orchestration infrastructure, MCP server architecture, reusable AI components and reference architectures, and the engineering standards that govern how agents are built, deployed, and operated in production. This is distinct from Datavant's ML Platform organization, which owns model training, feature stores, and data science infrastructure. This role owns the application layer, the infrastructure and standards that turn models into production agent systems. This is not a strategy-only position. The VP is expected to build and ship platform infrastructure, make definitive architectural decisions, and lead a team capable of operating critical AI infrastructure in a regulated healthcare environment. Key ResponsibilitiesAI Agent Infrastructure & Orchestration • Own the design, build, and operation of Datavant's AI agent hosting and orchestration platform, including inference infrastructure, agent runtimes, compute provisioning, and API gateway services, • Architect multi-agent orchestration capabilities that support the full autonomy spectrum, from human-in-the-loop copilots to fully autonomous workflow agents, with appropriate controls at each level, • Own agent lifecycle management: versioning, deployment, rollback, monitoring, and decommissioning of production agents, • Establish infrastructure patterns that decouple agent logic from underlying model providers, enabling model portability and vendor flexibility, • Drive cost optimization for inference at scale as agent usage grows across the organizationMCP Server Architecture & AI Integration, • Own the MCP server architecture that connects AI agents to Datavant's enterprise systems, data stores, and external services, • Design and enforce standardized integration patterns, tool catalogs, connector frameworks, and authentication models, that allow agents to interact with enterprise systems securely and consistently, • Build reusable MCP servers and integration components that reduce time-to-production for new AI use cases from weeks to days, • Establish integration testing, security review, and certification processes for AI system connectors, ensuring agents cannot access systems or data beyond their authorized scope, • Partner with infrastructure and security teams to define the boundary between agent-accessible and agent-restricted systems, particularly for environments handling PHI and other regulated dataAI Developer Experience & Enablement, • Own the internal developer experience for AI — SDKs, CLIs, documentation, templates, reference architectures, and golden paths that make it straightforward for any engineering team to build on the AI platform, • Build and maintain a catalog of reusable AI components including agent templates, prompt libraries, evaluation frameworks, and production-ready patterns, that accelerate adoption and reduce duplicated effort, • Establish engineering standards for agent development, testing, and production operation, including security requirements, performance benchmarks, and quality gates, • Lead enablement programs from workshops and office hours to embedded engineering support for high-priority AI initiatives, • Define and track adoption metrics that measure platform utilization, developer productivity impact, and time-to-production, • Serve as the central coordination point for AI engineering practices by consolidating duplicated efforts and promoting proven approaches through the platform rather than mandatesAI Governance & Production Operations, • Establish a multi-layered AI governance framework spanning build-time (secure agent construction and review), deployment (approval gates, environment controls, access scoping), and runtime (behavioral monitoring, anomaly detection, kill switches), • Partner with Security, Legal, Compliance, and Privacy to embed responsible AI practices by design, ensuring agents operate within HIPAA, SOC 2, and FedRAMP readiness requirements, • Define and enforce agent permissioning models with scoped data and system access and audit trails for every action, • Establish production SRE practices for AI systems including incident response, reliability targets, capacity planning, and on-call responsibilitiesCross-Functional Partnership, • Partner with the VP of Data & AI and ML Platform team to establish clean ownership boundaries — ML Platform owns model training and data science tooling; AI Enablement owns the agent application layer, integration infrastructure, and production agent operations, • Work with business unit leaders to identify and prioritize high-impact AI agent use cases, translating business needs into platform capabilities, • Advise senior leadership on AI agent technology strategy such as build-vs-buy decisions, vendor selection, emerging standards, and organizational readinessRequirements, • 15+ years in technology leadership, with at least 5 years in a VP or senior director role leading platform engineering, developer infrastructure, or AI/ML infrastructure organizations, • Demonstrated experience building and operating production AI/ML systems at enterprise scale, not just research or experimentation, but systems with SLAs, on-call, and real operational accountability, • Deep architectural expertise in distributed systems, API platform design, and infrastructure engineering, • Strong understanding of the AI agent technology landscape — LLMs, agent frameworks, RAG architectures, MCP, tool-use patterns, and multi-agent orchestration, • Experience establishing engineering standards and governance frameworks that achieve compliance without killing developer velocity, particularly in regulated environments (healthcare, life sciences, or financial services), • Track record building developer platforms or internal tooling organizations where adoption is earned through quality, not mandated, • Demonstrated ability to operate as a peer-level leader and credible with engineers, effective with executives, capable of making definitive architectural decisions under ambiguity, • Strong cost management instinct and able to balance platform investment against operational efficiency, particularly around inference compute costs that scale with adoptionNice To Have, • Direct experience building AI agent platforms or agentic systems in production, including agent hosting, orchestration, MCP server development, or multi-agent coordination, • Background in platform engineering or internal developer experience, building tools, SDKs, and infrastructure that other engineering teams consume as a service, • Experience with healthcare data environments, HIPAA compliance, and deploying AI in regulated healthcare settings, • Familiarity with AI governance and responsible AI frameworks, agent auditability, explainability, and enterprise compliance models for autonomous systems, • Experience managing AI/LLM infrastructure costs at scale, inference optimization, model routing, cost attribution, and chargeback models At Datavant our total rewards strategy powers a high-growth, high-performance, health technology company that rewards our employees for transforming health care through creating industry-defining data logistics products and services. The range posted is for a given job title, which can include multiple levels. Individual rates for the same job title may differ based on their level, responsibilities, skills, and experience for a specific job. The estimated total cash compensation range for this role is:$270,000—$315,000 USD To ensure the safety of patients and staff, many of our clients require post-offer health screenings and proof and/or completion of various vaccinations such as the flu shot, Tdap, COVID-19, etc. Any requests to be exempted from these requirements will be reviewed by Datavant Human Resources and determined on a case-by-case basis. Depending on the state in which you will be working, exemptions may be available on the basis of disability, medical contraindications to the vaccine or any of its components, pregnancy or pregnancy-related medical conditions, and/or religion. This job is not eligible for employment sponsorship. Datavant is committed to a work environment free from job discrimination. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. To learn more about our commitment, please review our EEO Commitment Statement here. Know Your Rights, explore the resources available through the EEOC for more information regarding your legal rights and protections. In addition, Datavant does not and will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay. At the end of this application, you will find a set of voluntary demographic questions. If you choose to respond, your answers will be anonymous and will help us identify areas for improvement in our recruitment process. (We can only see aggregate responses, not individual ones. In fact, we aren't even able to see whether you've responded.) Responding is entirely optional and will not affect your application or hiring process in any way. Datavant is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need an accommodation while seeking employment, please request it here, by selecting the 'Interview Accommodation Request' category. You will need your requisition ID when submitting your request, you can find instructions for locating it here. Requests for reasonable accommodations will be reviewed on a case-by-case basis. For more information about how we collect and use your data, please review our Privacy Policy.
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