Senior Forward-Deployed Engineer

Cohere Health is seeking a Senior Forward-Deployed Engineer to join their Forward Deployed Engineering team. In this role, you will be responsible for end-to-end technical integration work with enterprise customers, bridging complex healthcare systems with Cohere’s AI-first platform, while collaborating with various internal teams to ensure successful implementations.

Responsibilities:

• 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 Cohere’s 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

Requirements:

• 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
• Familiarity with healthcare data standards: FHIR, X12 (837, 278, 275), HL7v2, or similar specifications
• AI/ML integration experience: working with LLMs, embedding AI capabilities into production systems, or ML model deployment
• Infrastructure-as-code experience with Terraform, CloudFormation, or similar tools
• Experience in regulated environments (HIPAA, SOC2, HITRUST)
• Database expertise: SQL and NoSQL (PostgreSQL, MongoDB, DynamoDB), query optimization, and data modeling
• Identity and access management (IAM) experience: SSO implementations, federated identity, RBAC, and multi-tenancy security patterns