Senior Forward Deployed Engineer

Role Description

We are seeking a Senior Forward-Deployed Engineer to join our Forward Deployed Engineering team at Cohere Health. 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 Cohere’s 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.

• 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.

Qualifications

• 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 experience: 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.

Benefits

• Fully remote opportunity with about 5% travel.
• Medical, dental, vision, life, disability insurance, and Employee Assistance Program.
• 401K retirement plan with company match; flexible spending and health savings account.
• ️ Flex Time Off + company holidays.
• Up to 14 weeks of paid parental leave.
• Pet insurance.

Interview Process

• Connect with Talent Acquisition for a Preliminary Phone Screening.
• Meet your Hiring Manager!
• Design Exercises.
• Cross-Functional Interview.