AI Product Architect Director jobs in United States
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Hearst Health · 18 hours ago

AI Product Architect Director

Hearst Health is seeking an AI Product Architect Director, a senior individual contributor who will design and guide the next generation of AI-enabled systems. This role focuses on technical architecture leadership and product innovation, collaborating closely with Product, Engineering, and business stakeholders to create scalable and reliable AI systems.

Responsibilities

Own the end-to-end architecture for generative AI and agent-based systems, including orchestration, retrieval architectures, vector storage, context strategies, and evaluation frameworks
Prototype and iterate quickly using modern AI tools (e.g., LangChain/LangGraph, AutoGen, CrewAI, Azure OpenAI, Claude)
Define and maintain reference architectures, reusable components, and best practices for AI system reliability, observability, safety, and compliance
Translate business and product requirements into scalable technical architectures, including APIs, integration patterns, and data workflows
Partner with engineering teams to transition prototypes into production-grade systems
Lead or contribute to architectural reviews, modeling, risk assessments, and design governance for AI initiatives
Ensure all AI solutions meet standards for security, ethics, explainability, and responsible use
Identify high-value opportunities for generative and agentic AI across FDB’s products, workflows, and customer experiences
Partner with Product Management to shape the AI roadmap, define value hypotheses, and validate use cases through experimentation and user research
Drive rapid prototyping, concept testing, and MVP definition to evaluate feasibility, desirability, and commercial impact
Establish technical success metrics for AI systems, including performance, safety, ROI, and adoption signals
Communicate trade-offs and architectural considerations to technical and non-technical stakeholders
Serve as a thought partner to business and product leaders, helping FDB build differentiated, AI-powered capabilities

Qualification

AI architectureGenerative AIMachine LearningTechnical leadershipPrompt engineeringAzure ecosystemRapid prototypingCommunication skillsCollaborationProblem-solving

Required

10+ years in engineering, technical architecture, AI/ML systems, or related fields
3+ years hands-on experience building or deploying GenAI, LLM, RAG, or agent-based systems
Demonstrated experience in architecting complex distributed systems
Experience partnering closely with Product on strategy, discovery, and prioritization
Expertise in prompt engineering, model evaluation, and rapid AI prototyping
Familiarity with Azure ecosystem, vector databases, orchestration frameworks, and modern AI tooling
Ability to communicate technical concepts clearly to executives, customers, and cross-functional teams

Preferred

Experience in healthcare data, clinical solutions, or highly regulated environments
Certifications in product strategy, Agile, or AI/ML (PMC, CSPO, PSPO, AZ-305, etc.)
Experience with responsible AI frameworks, safety engineering, and governance models
Hands-on experience with AI-accelerated development tools (Cursor, Cline, Claude Code, etc.)

Benefits

Medical
Dental
Vision
Long term disability
Life insurance
Matching 401k
Flexible spending savings account
Paid holidays
Paid time off
Employee assistance program
Other company benefits

Company

Hearst Health

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The mission of Hearst Health is to guide healthcare organizations by delivering essential intelligence and software that improve the quality, safety and efficiency of care.

Funding

Current Stage
Late Stage

Leadership Team

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Denielle G. deWynter
Chief Financial Officer & SVP
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Company data provided by crunchbase