Solutions architect who can sit in a design session with clinicians, operations staff, and IT leads at a federal health agency, understand what’s actually broken, and put a working prototype in front of them before the next meeting. You’re the person who looks at a clunky, long-standing process and sees three better ways to run it, then tests the best one with the people who do the work instead of debating it on a whiteboard. The role reports directly to the Director, Growth & Deployment Strategy. If you’re good at decomposing interconnected systems to find where the work really breaks down, and you build with Claude Code, Codex, Copilot, or a similar tool every day, this role was built for you.
JOB SUMMARY
As Solutions Architect, you are the technical lead embedded with our federal health client, working hands‑on in a leading commercial healthcare automation platform. You turn design decisions into working solutions: AI-enabled workflows configured on the platform, prototypes users can click through, and integration requirements our integration partners build against. You bring enough business‑architecture discipline to understand why a workflow works the way it does before you automate it, and enough technical depth to make the automation real. You work day to day with the Business Analyst and our integration partners, and you’re the person who decides whether a design can actually be built.
Key Responsibilities
- Embed with the agency’s clinical, operational, and IT teams: sit in design sessions, learn the workflow and its constraints, and propose a technical approach on the spot.
- Turn validated future‑state designs into working prototypes, sandbox configurations, and AI-enabled workflows.
- Shape how LLM-based agents and AI-enabled workflow logic are used in each workflow, with enough familiarity with prompt and context engineering, tool use, orchestration, and human‑in‑the‑loop checkpoints to guide the build and judge whether it fits clinical reality.
- Work with integration partners to connect the automation platform to the agency’s source systems: define the APIs, data mappings, and transformations (JSON, and HL7/FHIR where it applies) they build against, and confirm the result works as designed.
- Map the current‑state system landscape well enough to design against it: interfaces, data flows, where the data really lives, and which constraints are technical versus policy.
- Tie every automation to a baseline measurement. “Instrument first, then automate” is the operating rule on this team.
- Demo working functionality to clinical users and program leadership, collect feedback, and iterate in real time.
- Keep a reusable playbook of patterns, configurations, and components so each workflow deploys faster than the last.
Required Qualifications
- 5+ years in solutions engineering, solutions architecture, technical consulting, or IT consulting, including at least two years in a client‑facing role where you took a design from whiteboard to working solution.
- Strong technical fluency with APIs, JSON, data mapping, and SQL: enough to specify an integration precisely and work side by side with the integration partners who build it.
- Working familiarity with LLMs and AI platforms (Anthropic, OpenAI, or similar), including prompt and context engineering and agentic workflows, enough to design with them and evaluate what gets built.
- Daily, practical use of AI tools such as Claude Code, OpenAI Codex, or GitHub Copilot to prototype, analyze, and build. You can show us how they changed the way you work.
- Experience working in a cloud environment (Azure, AWS, or GCP).
- Enough business‑process and architecture fluency to map a workflow, question a requirement, and explain a trade‑off to a clinician or an executive without jargon.
- Ability to obtain and maintain a federal Public Trust background investigation; U.S. citizenship required.
Preferred Qualifications
- Healthcare or health‑IT experience, such as EHR integration or modernizing clinical and operational workflows; familiarity with HL7 v2 and FHIR.
- Federal or federal‑health delivery experience, including building inside agency security and ATO constraints.
- Experience with low‑code or workflow‑automation platforms as a builder.
- Familiarity with HIPAA and PHI handling in AI systems.
- Working knowledge of Python or another scripting language for quick analysis and prototyping, whether you write it yourself or direct an AI coding tool to write it.
- Exposure to a modern data stack (Databricks, Snowflake, dbt, Power BI, or equivalent).
- Competitive base salary with incentive compensation tied to program delivery and company performance
- Comprehensive benefits package including health, dental, vision, 401(k), and paid time off (PTO)
- Hybrid work environment with flexibility for remote work and in‑person collaboration days in McLean, VA