Solutions Architect

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 #J-18808-Ljbffr