Skip to main content

Solutions Architect

Posted 5 days ago

autonomize aiAustin (TX)

SENIORITY

Lead

Apply (opens in a new tab)

About the role

Solutions Architect Autonomize AI is revolutionizing healthcare by combining data and context to streamline knowledge workflows, reduce administrative burdens, and improve patient outcomes. We're a high-velocity, mission-driven startup that values full-stack ownership, clear alignment, and customer obsession.
The Opportunity: We are looking for a Solutions Architect with deep expertise in healthcare data and enterprise AI applications to lead solution design and deployment for top-tier healthcare payer clients. You'll collaborate closely with product, engineering, sales, and customer success teams to ensure our AI offerings are scalable, secure, and impactful. You will act as a key technical leader bridging client needs with Autonomize. AI's product capabilities.
Key Responsibilities
Client Solutioning: Own technical discovery, architecture design, and integration strategy for new and existing customers. Translate business requirements into scalable AI-enabled architectures for use cases such as claims processing, clinical reviews, risk adjustment, and more.
Technical Leadership:
  • Guide cross-functional teams during pre-sales and post-sales implementations.
  • Develop solution blueprints and system integration plans using healthcare-specific standards (HL7, FHIR, EDI, etc.).Product & Delivery Collaboration
  • Provide feedback to product and engineering teams on customer needs, industry trends, and integration challenges.
  • Support Proof-of-Concept (POC) development and iterative deployment cycles.
Security & Compliance: Ensure all architectures meet HIPAA and other healthcare compliance standards. Contribute to enterprise architecture best practices around security, governance, and interoperability.
Qualifications:
  • 10+ years of experience as a Solutions Architect or similar role within healthcare or healthtech
  • Experience working with healthcare payers, including systems for claims adjudication, utilization management, member engagement, and/or provider data
  • Strong understanding of healthcare data formats and compliance (HIPAA, EDI 837/835, FHIR)
  • Solid experience designing and integrating APIs and data pipelines in cloud-native environments (preferably AWS)
  • Experience working with AI/ML platforms and tools (e.g., NLP, LLMs, vector databases)
  • Excellent communication and client-facing skills
Nice to Have:
  • Experience working with GenAI tools and frameworks
  • Familiarity with tools like Snowflake, Databricks, LangChain, or similar
  • Exposure to healthcare-specific enterprise systems like Epic, TriZetto, Optum, etc.
  • Startup experience or background in enterprise software/SaaSWhat We Offer
  • Influence & Impact: Lead and shape the future of healthcare AI implementations
  • Outsized Opportunity: Join at the ground floor of a rapidly scaling, VC-backed startup
  • Ownership, Autonomy & Mastery: Full-stack ownership of customer programs, with freedom to innovate
  • Learning & Growth: Constant exposure to founders, customers, and new technologies—plus a professional development budget
Standard Benefits: Competitive compensation, comprehensive medical/dental/vision, paid vacation, 401(k), and commitment to your physical and mental health To ApplySend your resume and a brief note on how your executive-level communication and deep technical program leadership will accelerate Autonomize AI's mission to careers@autonomize.ai. We can't wait to hear your story!

Before you apply

Applying takes about a minute. These four things decide how fast it moves after that.

Your profile is current

It's what we read first. Occupations, seniority and locations matter more than a long history.

Two examples you can talk through

Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.

A number in mind

What you're on now and what would make you move. We negotiate better when we know both.

Your notice period

Employers plan around it, and it's the question that stalls offers most often.

Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.

More like this