We are seeking a Senior Forward-Deployed Engineer to join our Forward Deployed Engineering team . In this highly technical, customer-facing role, you will own end-to-end technical integration work with enterprise customers and partners—from pre-sales through production deployment—bridging complex healthcare systems with  AI-first platform. You’ll partner closely with Engineering, Product, Solutions Architecture, and Customer Success teams to design and execute sophisticated integrations that improve access to care for millions of members.

What you’ll do:

• Own end-to-end technical integration design and execution for enterprise customers, from initial scoping through production deployment, serving as the primary technical authority throughout
• Lead technical discovery, scoping, and proof-of-concept work during pre-sales cycles, creating technical proposals and estimates to validate feasibility for prospective customers
• Design system architectures that bridge customer IT environments with platform, making key architectural decisions that balance customer constraints with platform capabilities
• Work hands-on with AI/ML-enabled healthcare features—including clinical decision support, automated review, and intelligent routing—ensuring they meet regulatory requirements and clinical safety standards
• Produce high-quality technical artifacts including integration designs, architecture diagrams, data mappings, API implementation guides, and operational runbooks
• Build reusable integration patterns and templates that scale across customers, and continuously identify opportunities to improve platform capabilities based on implementation learnings
• Collaborate cross-functionally with Engineering, Product, Solutions Architecture, and Customer Success teams to drive successful go-live outcomes and mentor junior team members

What you’ll need:

• 6–10+ years of software engineering experience with a strong backend/systems focus
• Healthcare industry experience, particularly on the payer side (health plans, managed care organizations), including familiarity with healthcare workflows, data standards, and regulatory requirements
• Deep expertise in data architecture and integration patterns: data modeling, transformation logic, schema design, and enterprise integration patterns (middleware, message queues, event-driven architectures)
• Hands-on experience with AWS cloud platforms (Lambda, ECS, RDS, S3, API Gateway, EventBridge)
• Strong API integration and authentication experience: RESTful APIs, webhooks, OAuth2/OIDC, SAML 2.0, JWT, mTLS, and API key management
• Production coding skills in modern languages (Python, Node.js, Java, Go, or similar)
• Experience working directly with enterprise customers in technical implementation roles (not just internal teams)
• Comfort with ambiguity and high agency: ability to define problems, propose solutions, and execute independently
• Direct experience with payer-side technology: prior authorization platforms, utilization management systems, or claims processing is a plus
• Familiarity with healthcare data standards: FHIR, X12 (837, 278, 275), HL7v2, or similar specifications is a plus
• AI/ML integration exp
• erience: working with LLMs, embedding AI capabilities into production systems, or ML model deployment is a plus
• Infrastructure-as-code experience with Terraform, CloudFormation, or similar tools is a plus
• Experience in regulated environments (HIPAA, SOC2, HITRUST) is a plus
• Database expertise: SQL and NoSQL (PostgreSQL, MongoDB, DynamoDB), query optimization, and data modeling is a plus
• Identity and access management (IAM) experience: SSO implementations, federated identity, RBAC, and multi-tenancy security patterns is a plus

• Are you interested in this position?

   

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