Senior AI Solutions Architect

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 accomplish in this role

At HCA Healthcare we are moving toward a model where solution design happens before development. Once a Product Requirements Document is established, an AI Solutions Architect produces a rigorous, machine-readable solution design, the artifact that drives both human and agentic development downstream.

This is a deep individual-contributor role for an architect who understands how systems work in-depth, rather than treating components such as databases, queues, and models as black boxes. When told "the database is slow," this person asks to see the query plan, the access patterns, and the partitioning strategy before proposing a fix.

The ideal candidate can operate a different, creating an architecture demonstrating how the major components of AI system will interact, but able to get into low-level details such as memory and compute resources, code implementation patterns and logging patterns.

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
• 5+ 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 - Preferred
• Hand-on experience with GenAI, LLM and/or agentic frameworks - Required
• 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

Visa Sponsorship:

• 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.

At HCA Healthcare, we are committed to fostering a culture of growth that allows you to build the career of a lifetime. We encourage you to apply for our Senior AI Solutions Architect today. We review all applications promptly, and qualified candidates will be contacted to continue the process. Join us!

We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Bachelor's in Computer Science or equivalent; 5+ years technology development; experience with ML lifecycle, GenAI/LLM/agentic frameworks, cloud (AWS/GCP/Azure), observability tools; security and full-stack best practices.

Key Responsibilities

• designing AI solutions
• validating system designs
• reviewing code

Skills & Tools

AWS, GCP, Azure, OpenTelemetry, Grafana, Prometheus, DataDog

Job Details

• Category: Information Technology
• Seniority: Senior Level
• Commitment: Full Time
• Workplace: Remote — United States
• Languages: English

About HCA Healthcare

A healthcare provider leveraging AI and digital technologies to improve patient care. — Industry: Healthcare