- 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.
- 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.).
- 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.
- Ensure all architectures meet HIPAA and other healthcare compliance standards.
- Contribute to enterprise architecture best practices around security, governance, and interoperability.
- 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
- 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
Skills Required
- 10+ years of experience as a Solutions Architect or in a similar role within healthcare or health technology
- Experience working with healthcare payers and systems such as claims adjudication, utilization management, member engagement, or provider data
- Strong understanding of healthcare data formats and compliance, including HIPAA, EDI 837/835, and FHIR
- Experience designing and integrating APIs and data pipelines in cloud-native environments, preferably AWS
- Experience working with AI/ML platforms and tools, including NLP, LLMs, or vector databases
- Excellent communication and client-facing skills
- Experience with Generative AI tools and frameworks
- Familiarity with Snowflake, Databricks, LangChain, or similar tools
- Exposure to healthcare enterprise systems such as Epic, TriZetto, or Optum
- Startup experience or enterprise software/SaaS background
What We Do
Autonomize AI Agents & Copilots organize, contextualize and summarize unstructured data to reduce the administrative burden for healthcare knowledge workers to make data-driven decisions and improve patient outcomes. Our customers include health plans, providers and life sciences companies. Unlike generic AI systems retrofitted for healthcare, Autonomize deeply understands medical contexts, terminologies, and operational nuances. Our healthcare-focused AI Agents & Copilots augment knowledge work, drastically reducing administrative burden. Care management teams spend 78% less time per case, achieving an impressive 85% boost in case review efficiency. Prior authorization processes that traditionally take 20-30 minutes shrink to mere seconds, accompanied by an 80% reduction in manual errors, saving millions of dollars annually. Our AI Agents turn chaotic, unstructured healthcare data—clinical notes, PDFs, faxes, and claims—into structured, contextual information that informs decisions and actions. This has driven substantial real-world impact: organizations using Autonomize experience a 92% reduction in manual effort for care gaps and HEDIS chart reviews, dramatically improving compliance and STAR ratings. Autonomize AI is purpose-built for healthcare, transforming healthcare operations one workflow at a time through AI-native solutions that deliver immediate, scalable impact.
