Lead Director Software Development; Architecture, Client

Position Summary:

The Lead Director – Architecture, Client Experience owns the end‑to‑end architecture vision and execution for highly complex, enterprise‑scale initiatives across Adjudication and Client Experience platforms, partnering closely with business leaders, product management, engineering, security, and enterprise architecture teams. AI is an integral and mandatory component of all solution designs. The Lead Director will ensure that AI‑assisted, data‑driven, and intelligent capabilities are intentionally evaluated and embedded by default—not added later—across platforms, workflows, and developer experiences.

The Lead Director will establish and scale a technology incubation and innovation function, driving the identification, validation, and adoption of advanced architectures—including AI/ML, Generative AI, agentic workflows, cloud‑native platforms, event‑driven integration frameworks, and intelligent automation. This is a hands‑on architecture leadership role requiring deep technical credibility, strong people leadership, and the ability to influence strategy while staying close to design and implementation.

• Lead, manage, and mentor a team of Architects, setting clear expectations for architecture quality, consistency, and outcomes
• Own architecture standards, guiding principles, and review processes, ensuring AI‑first and automation‑first thinking is applied consistently across all solution designs
• Provide hands‑on architecture oversight, design reviews, and technical guidance for Tier‑1 and strategic initiatives, explicitly validating AI, data, and intelligence opportunities
• Drive reuse of platforms, patterns, shared services, and AI capabilities to reduce complexity and accelerate delivery
• Lead the development of end‑to‑end, AI‑enabled solution architectures for highly complex, cross‑domain PBM initiatives
• Ensure all solution designs evaluate AI assisted decisioning, Automation and intelligent workflows & Data driven insights and observability
• Perform and guide Buy vs Build vs Partner analyses, including AI platforms, models, and services, using qualitative and quantitative inputs to make defensible recommendations
• Develop and maintain reference architectures for cloud‑native, event‑driven, API‑first, microservices‑based, and AI‑enabled solutions
• Partner with application, platform, and SRE teams to resolve architectural bottlenecks, including scalability, performance, resilience, integration, and operational intelligence
• Drive AI‑first, automation‑first architecture, reducing manual processes across development, operations, and business workflows
• Guide architects and teams in designing intelligent automation solutions, including:
  Agentic workflows, Event‑driven orchestration
• Lead modernization initiatives focused on technical debt reduction, legacy optimization, and cloud migration, embedding intelligence into modernized platforms
• Ensure architectures incorporate security, observability, Responsible AI, and operational readiness by design
• Partner closely with business leaders, product management, engineering, data science, security, and EA teams to translate AI capabilities into business outcomes
• Present architecture strategies, AI prototypes, and emerging technology capabilities to executive leadership through compelling narratives and demos
• Coach and develop architects to be AI‑literate, cloud‑native, and business‑aware technology leaders

• 10+ years of overall design and development experience, including enterprise‑scale solution architecture
• 7+ years of hands‑on cloud architecture experience, primarily in Azure, with solid experience in GCP
• Deep expertise in software architecture patterns, including Domain‑Driven Design, microservices, event‑driven, and AI‑enabled architectures
• Strong experience with enterprise integration platforms, including streaming technologies such as Kafka or Pulsar
• Proven ability to lead and influence architecture decisions across large, matrixed organizations
• Experience mentoring architects and driving AI and platform adoption at scale
• Strong ability to translate complex technical and AI concepts into business‑relevant…