Role overview
A senior engineering role focused on the customer-facing side of integrating an AI-enabled healthcare platform with large enterprise clients. The position owns technical integration work from initial scoping through production deployment, bridging complex payer-side systems with a modern AI platform. It is a highly technical, hands-on role that combines pre-sales engineering, architecture design, and production delivery in a regulated healthcare environment.
Responsibilities
- Lead end-to-end technical integration design and delivery for enterprise clients, serving as the primary technical authority from scoping through go-live.
- Run technical discovery, scoping, and proof-of-concept work during pre-sales, producing estimates and feasibility recommendations for prospective clients.
- Design system architectures that connect client IT environments to the platform, making architectural trade-offs against customer constraints and platform capabilities.
- Build and validate AI/ML-enabled healthcare features such as clinical decision support, automated review, and intelligent routing against regulatory and clinical safety requirements.
- Produce high-quality technical artifacts including integration designs, architecture diagrams, data mappings, API implementation guides, and operational runbooks.
- Develop reusable integration patterns and templates that scale across clients, and feed implementation learnings back into platform improvements.
- Partner closely with Engineering, Product, Solutions Architecture, and Customer Success teams, and mentor junior engineers.
Requirements
- 6–10+ years of software engineering experience with a strong backend and systems focus.
- Healthcare industry experience on the payer side, including familiarity with payer workflows, healthcare data standards, and regulatory requirements.
- Deep expertise in data architecture and integration patterns, including data modeling, transformation logic, schema design, and middleware, message queues, or event-driven architectures.
- Hands-on experience with AWS services such as Lambda, ECS, RDS, S3, API Gateway, and EventBridge.
- Strong API integration and authentication skills covering RESTful APIs, webhooks, OAuth2/OIDC, SAML 2.0, JWT, mTLS, and API key management.
- Production coding skills in a modern language such as Python, Node.js, Java, or Go.
- Track record of working directly with enterprise customers in technical implementation roles.
Benefits and work setup
- Fully remote with approximately 5% travel.
- Medical, dental, vision, life, and disability insurance, plus an Employee Assistance Program.
- 401(k) retirement plan with company match, flexible spending, and health savings account options.
- Flexible paid time off plus company holidays, and up to 14 weeks of paid parental leave.
- Pet insurance benefit.
- Posted salary range of $135,000 to $170,000 annually, with final pay determined by qualifications, experience, skills, and internal alignment.