Staff AI Solutions Architect

HCA Healthcare; United States; Remote; USD 140,000 - 200,000; Full time

Job summary

HCA Healthcare is seeking a senior Architect of Digital Transformation to design scalable AI-enabled systems for inpatient care. You will drive architecture roadmaps, validate designs end-to-end, and partner with teams to ensure reliable, secure, and observable services at scale.

The role emphasizes hands-on validation, performance tuning, and a strong foundation in cloud platforms, security, and ML lifecycle. Remote US-based with occasional travel to Nashville may be required.

Qualifications

• Bachelor's degree Computer Science or equivalent work experience.
• Master's degree preferred.
• 7+ years of experience in technology development, delivery, and operation.
• Experience with ML lifecycle (training, service).
• Experience with operating systems at scale (millions of users, tail latency).
• Hands-on GenAI/LLM or agentic frameworks preferred.
• Security, authentication, authorization, networking best practices.
• Cloud breadth across AWS, GCP, Azure with depth in at least one.
• Familiarity with OpenTelemetry, Grafana/Prometheus, DataDog.

Responsibilities

• Produce architecture and technology solution roadmap driven by contracts, interfaces, modules, platforms, data products, and reusable components.
• Design end-to-end system models showing where state lives and critical paths.
• Create precise designs for implementers with minimal surprises.
• Hands-on validation with code, queries, traces, and profiling; perform code reviews.
• Consider consistency models, partitioning, replication, idempotency, and delivery guarantees.
• Design agentic systems with guardrails and human-in-the-loop boundaries.
• Leverage AI to drive design-to-code workflows and tool interfaces.
• Instrument systems and diagnose issues: identify N+1 queries, GC pauses, SLIs/SLOs.
• Review current metrics to determine scale, resources, and concurrency needs.

Skills

Architecture leadership

GenAI/LLM/agentic frameworks

Cloud architecture (AWS/GCP/Azure)

Security & networking best practices

Observability & performance tuning

Education

Bachelor's degree Computer Science

Master's degree

Tools

OpenTelemetry

Grafana/Prometheus

DataDog

AWS/GCP/Azure cloud platforms

Job description

This is OUR story... and YOUR next chapter

At HCA Healthcare, our Digital Transformation and Innovation (DT&I) team is redefining what’s possible inpatient care. By leveraging the power of artificial intelligence, automation, and digital technologies, DT&I is helping drive meaningful improvements in clinical outcomes, reduce manual workload, and expand the reach of our care teams. If you're passionate about using technology to improve human life, this is where your work truly matters

What you will do in this role:

Solution Design

• Take Product Requirements Document and produce a comprehensive architecture and technology solution roadmap driven by contracts, interfaces, modules, platforms, data products, and reusable components.
• Produce design as a system, not just diagrams: where state lives, what is on the critical path, what breaks under load or partial failure.
• Produce designs precise enough that agents and teams can build from them with few surprises.
• Be hands-on to validate a system by dropping into code, queries, traces, and profiles, and perform code review to ensure quality and delivery is following design.
• Reason about consistency models, partitioning and sharding (including hot partitions and rebalancing), replication, idempotency, and at-least-once versus exactly-once delivery, and the failure modes of each.
• Design agentic systems where non-determinism is a first-class architectural concern: guardrails, evaluations, human-in-the-loop boundaries, and deterministic versus probabilistic seams.
• Use AI to drive development: spec and artifact driven workflows, code generation from designs, and tool/agent interfaces (e.g., MCP).
• Instrument systems and then actually diagnose them: find an N+1 query from a trace, identify a GC pause or lock from a flame graph, define SLIs and SLOs and error budgets, and reason about metric cardinality cost.
• Review metrics of current system performances and recommend the right level of scale, resources, concurrency, etc.

What qualifications you will need:

• Bachelor's degree Computer Science, or equivalent work experience - Required
• Master's degree - Preferred
• 7+ years of experience in technology development, delivery, and operation - Required
• Experience with classical machine learning lifecycle (training, service, etc) - Required
• Experience with operating system at scale of millions of users and/or thousands of events per second and can speak to tail latency (p99/p999), capacity planning, backpressure, and what actually failed and why - Required
• Hand-on experience with GenAI, LLM and/or agentic frameworks - Preferred
• Knowledgeable on best practices of security, authentication, authorization, networking, and other full-stack technologies - Required
• Cloud breadth across AWS, GCP, Azure, etc, with real depth in at least one - Required
• Familiarity with observability technologies such as OpenTelemetry, Grafana/Prometheus, DataDog, etc. – Required

Work Location/Schedule:

• Remote (U.S. Only) - M-F, 8am – 5pm - Central Time

Travel Required:

• This job requires travel to Nashville, TN to attend final interview, 3-day New Hire Orientation, quarterly team meetings, and other travel on an as-needed basis
• Not offered, now or in the future

Virtual Interviews:

• All HCA Healthcare virtual interviews are conducted without the use of virtual backgrounds, background blurring, or any other visual distortion tools.

AI Usage Policy:

• The use of AI tools or prompts during any part of the interview is strictly prohibited. If it appears that you are reading from a script or using AI-generated responses, you will be eliminated from further consideration. We value authenticity and want to hear your own thoughts and experiences.