Solutions Architect

Syndesus • Austin, TX

180d • $150,000 - $180,000 • Onsite

About The Position

Our client is a fast-growing, mission-driven healthcare AI startup transforming
how work gets done across the U.S. healthcare system. By combining structured
healthcare data with contextual AI and agent-driven workflows, they streamline
knowledge-intensive processes, reduce administrative burden, and improve patient
outcomes.

They operate with high velocity and high ownership, valuing clear alignment,
customer obsession, and full-stack accountability.

Our client is seeking a Solutions Architect with deep expertise in healthcare
data systems and enterprise AI applications to lead architecture design and
implementation for top-tier healthcare payer organizations.

In this role, you will serve as a senior technical leader, translating complex
payer requirements into scalable, secure, AI-enabled solutions. You will
collaborate closely with Product, Engineering, Sales, and Customer Success to
ensure deployments are technically sound, compliant, and outcome-driven.

This is a highly visible, client-facing role that bridges enterprise healthcare
systems with modern AI infrastructure.

This is an on-site position based in Austin, TX.

Requirements

• 10+ years of experience as a Solutions Architect or similar role within healthcare or healthtech
• Direct experience working with healthcare payers and core systems such as claims adjudication, utilization management, member engagement, or provider data platforms
• Strong knowledge of healthcare data standards and compliance frameworks (HIPAA, EDI 837/835, FHIR, HL7)
• Experience designing APIs, integrations, and data pipelines in cloud-native environments (AWS preferred)
• Experience working with AI/ML platforms, including NLP, LLMs, or vector database systems
• Strong client-facing communication skills and executive presence

Nice To Haves

• Experience with GenAI tools or agentic AI frameworks
• Familiarity with platforms such as Snowflake, Databricks, or LangChain
• Exposure to enterprise healthcare systems (Epic, TriZetto, Optum, etc.)
• Background in startup or enterprise SaaS environments

Responsibilities

• Lead technical discovery, architecture design, and integration strategy for new and existing payer customers
• Translate complex business requirements into scalable AI-enabled architectures for use cases such as claims adjudication, utilization management, clinical reviews, and risk adjustment
• Design end-to-end system integrations across enterprise healthcare environments
• Serve as the primary technical authority during pre-sales and post-sales engagements
• Develop solution blueprints and integration plans leveraging healthcare interoperability standards such as HL7, FHIR, and EDI (837/835)
• Guide cross-functional teams through implementation, ensuring architectural integrity and long-term scalability
• Provide structured feedback to Product and Engineering teams based on customer requirements, technical constraints, and emerging industry trends
• Support Proof-of-Concept (POC) development and iterative deployment cycles
• Help define repeatable architectural patterns for enterprise healthcare deployments
• Ensure all solutions meet HIPAA and enterprise-grade security standards
• Contribute to best practices in governance, data security, and interoperability

Benefits

• Shape the technical foundation of AI deployments across major healthcare payers.
• Join a rapidly scaling, VC-backed startup at a pivotal stage of growth.
• Lead customer programs end-to-end with significant responsibility and decision-making authority.
• Work directly with founders, enterprise customers, and cutting-edge AI technologies, with dedicated professional development support.
• Base salary range: $150,000 – $180,000 annually
• Competitive overall compensation package, including equity and bonus
• Comprehensive benefits package

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed