Senior Principal Software Architect

This position is incentive eligible. Last year our HCA Healthcare colleagues invested over 156,000 hours volunteering in our communities. As a Senior Principal Sware Architect with HCA Healthcare you can be a part of an organization that is devoted to giving back!

The Senior Principal Software Architect is a Director-level technology leader responsible for shaping and executing the enterprise architecture, engineering strategy, and adoption model for Artificial Intelligence across Software Engineering. This leader will build and lead a team of AI engineers and architects who create reusable AI platforms, agentic engineering capabilities, reference architecture, and guardrails that enable software teams to design, build, test, secure, deploy, and operate solutions more effectively.

Operating across organizational boundaries, this role translates enterprise priorities into a multi-year AI enablement roadmap, establishes technical standards and governance, and partners with senior technology leaders to scale trusted AI adoption. The position combines people leadership, enterprise architecture, platform strategy, and selective hands‑on technical depth, with accountability for measurable improvements in engineering productivity, quality, security, reliability, and developer experience.

• Define and own the enterprise architecture and multi-year technical strategy for AI enablement across the software engineering lifecycle.
• Establish reference architectures, reusable patterns, standards, and decision frameworks for generative AI, large language models, retrieval-augmented generation, agentic systems, evaluation, observability, and AI lifecycle management.
• Serve as a senior technical authority for high-impact architecture decisions spanning multiple products, platforms, and engineering organizations.
• Continuously assess technology shifts and evolve the architecture to reduce fragmentation, manage technical debt, and preserve enterprise flexibility.

• Lead the strategy and delivery of AI capabilities that improve requirements, architecture, coding, testing, security, Dev Sec Ops , reliability, modernization, and engineering knowledge workflows.
• Create scalable adoption models, paved roads, reusable agents, and platform capabilities that help engineering teams move from experimentation to secure production use.
• Partner with software engineering leaders to redesign workflows around human and AI collaboration while maintaining clear accountability, review, and control points.
• Define outcome measures and feedback loops for adoption, engineering velocity, quality, security, developer experience, reuse, and business value.

• Build, lead, coach, and develop a high-performing team of AI engineers and architects; establish clear goals, operating mechanisms, and accountability for outcomes.
• Create a talent strategy that attracts, develops, and retains advanced AI engineering and architecture capabilities.
• Provide technical and career leadership through architecture reviews, mentoring, succession planning, and development opportunities.
• Foster an inclusive culture of innovation, disciplined experimentation, continuous learning, engineering excellence, and responsible decision‑making.

• Guide the architecture and evolution of enterprise‑scale AI platforms and agentic systems that integrate safely with developer tools, enterprise systems, data, and software delivery workflows.
• Establish patterns for model selection, grounding, orchestration, context management, tool…