VP, Platform & Architecture

Key Responsibilities

• Define and execute Gravie’s platform, architecture, and cloud strategy, creating the shared technology foundation required for scalable product development and business growth.
• Own a prioritized platform roadmap informed by product strategy, engineering needs, and business priorities, ensuring investments drive adoption and measurable organizational value.
• Led architecture across shared services and product domains, resolving systemic technical risks and guiding major cross-team technology decisions.
• Establish technical standards and platform practices that improve reliability, security, resilience, developer experience, and cloud cost efficiency.
• Build Gravie’s AI platform, including secure model access, agent orchestration, retrieval and knowledge services, evaluation, observability, guardrails, and model lifecycle management.
• Lead the adoption of agentic development across Engineering, including tooling, standards, training, workflow redesign, and measurement of improvements in engineering productivity, delivery, and quality.
• Establish shared quality engineering practices, tooling, and automation that improve release confidence, test effectiveness, and engineering velocity.
• Lead product support operations, establishing the processes, tooling, and cross-functional operating model for issue identification, triage, escalation, root-cause analysis, and resolution across Customer Operations, Product, and Engineering.
• Partner with Customer Operations to deploy AI agents and automation that improve support effectiveness, employee productivity, and customer experience.

Qualifications

• Significant leadership experience in platform engineering, architecture, infrastructure, and developer experience.
• Demonstrated ability to operate as a hands-on technical executive, moving fluidly between executive strategy, architecture and system design, technical reviews, prototyping, and detailed engineering problem-solving.
• Demonstrated success building shared platforms used by multiple product and engineering teams.
• Experience improving engineering productivity, platform reliability, and operational effectiveness.
• Experience building technical foundations for AI capabilities embedded in customer-facing products.
• Experience with generative AI architecture, agent orchestration, retrieval, evaluation, observability, and production operations.
• Experience driving the adoption of agentic development practices across an engineering organization.
• Experience applying AI agents in customer service, internal operations, or software development.
• Experience establishing or leading product support operations, production issue management, or similar cross-functional capabilities.
• Ability to operate effectively in a regulated environment and partner with Security, Privacy, Legal, Risk, and Compliance.
• Strong organizational leadership, executive communication, financial management, and vendor-management skills.

Preferred Qualifications

• Experience in insurance, healthcare, financial services, or another regulated industry.