VP, Chief Architect

Job Description

• This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a VP, Chief Architect based in United States. This executive role leads enterprise architecture at the intersection of technology, clinical informatics, data, and artificial intelligence. You will define architectural strategy while helping shape scalable platforms, knowledge capabilities, and next-generation AI products. Working closely with Engineering, Product, Informatics, Data Science, Security, and Infrastructure leaders, you will turn business priorities into practical technology decisions. The role combines strategic leadership with hands-on technical depth, from system design and prototyping to guiding production implementation. You will help evolve knowledge graphs and clinical knowledge assets into foundational capabilities for AI-driven products and workflows. As a trusted technical partner, you will help teams reduce uncertainty, manage architectural tradeoffs, and accelerate execution without creating unnecessary governance. You will also mentor senior technical talent and strengthen the broader architecture and engineering leadership community.
• Accountabilities Define and evolve enterprise architecture strategy across software, cloud, data, clinical informatics, AI, security, and related technology domains. Establish practical architecture principles and decision frameworks that balance innovation, speed, scalability, reliability, security, and cost. Guide major technology decisions and help Engineering and Product teams evaluate architectural tradeoffs and implementation approaches. Identify emerging technologies and capabilities that can strengthen platforms, products, and technical differentiation. Establish clear platform boundaries, ownership models, interfaces, and shared capabilities to reduce duplication, fragmentation, and technical debt. Align application, platform, API, data, knowledge graph, integration, security, and cloud architecture into a coherent technology ecosystem. Advance knowledge graph and clinical knowledge capabilities as foundational infrastructure for clinical AI and next-generation products. Define scalable architecture patterns for AI-enabled products and workflows, including knowledge-grounded AI, agentic systems, retrieval, evaluation, observability, and human oversight. Work directly with teams on complex technical challenges, including system design, technology evaluations, prototypes, and proofs of concept. Validate emerging technologies and approaches before significant investment or roadmap commitments are made, establishing practical paths from experimentation to production. Lead and develop the Enterprise Architecture team while maintaining high standards for technical depth, collaboration, and hands-on contribution. Mentor architects and technical leaders while strengthening the broader technical leadership community. Partner with Engineering, Product, Informatics, Data Science, Security, and Infrastructure leadership to connect business priorities with architecture and execution. Establish lightweight mechanisms for architectural alignment, decision documentation, knowledge sharing, and reuse without creating unnecessary delivery bottlenecks. Support strategic customer and partner engagements involving architecture, integration, data, clinical informatics, and AI. Requirements 15+ years of progressive experience across software, platform, data, informatics, or enterprise architecture, including experience with complex enterprise-scale systems. Demonstrated success as a hands-on architect who can move effectively between technology strategy, system design, prototyping, and implementation guidance. Proven experience leading architects and influencing engineering and technical leaders across organizational boundaries. Deep expertise in modern cloud-native architecture, distributed systems, APIs, data platforms, security, reliability, and software delivery. Practical experience designing or enabling AI and machine learning capabilities in production, including generative AI architectures. Strong understanding of how to connect business and product strategy with technology, platform, and architectural decisions. Exceptional communication and presentation skills, with the ability to engage technical leaders, executives, customers, and strategic partners. Experience in healthcare technology, clinical informatics, terminology, ontologies, interoperability, knowledge graphs, or clinical data platforms is preferred. Experience with knowledge-grounded AI, agentic workflows, retrieval-augmented generation, AI evaluation, and responsible AI is advantageous. Experience supporting strategic customer engagements, technical partnerships, and complex enterprise integrations is a plus. Experience operating in regulated environments involving sensitive healthcare data is preferred. Strong leadership, mentoring, influencing, and cross-functional collaboration skills. Benefits Executive-level opportunity to shape enterprise architecture and long-term technology strategy. Significant influence over cloud, data, AI, clinical knowledge, and platform architecture. Opportunity to work at the intersection of healthcare technology, clinical informatics, knowledge graphs, and emerging AI capabilities. Leadership responsibility for an Enterprise Architecture function and opportunity to mentor senior technical professionals. Direct collaboration with Engineering, Product, Informatics, Data Science, Security, and Infrastructure leadership. Opportunity to contribute to next-generation AI-enabled products and scalable clinical knowledge capabilities. Exposure to strategic customer, partner, and enterprise technology initiatives. Opportunity to influence architectural standards and reusable capabilities while maintaining a hands-on technical role.
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