- Salary
- $150k – $180k
- Location
- Austin, United States
- Department
- Engineering
- Experience
- 10+ years
- Source
- Keka
Description
About Autonomize AI
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/SaaS
What 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 Apply
Send your resume and a brief note on how your executive-level communication and deep technical program leadership will accelerate Autonomize AI’s mission to [email protected]. We can’t wait to hear your story!
Skills
AWSNLPSnowflakeDatabricksEpicFHIRHL7ComplianceHIPAA