Note: The job is a remote job and is open to candidates in USA. Komodo Health is on a mission to reduce the global burden of disease through smarter use of data. They are seeking a Senior Forward Deployed Engineer, AI, to own the end-to-end delivery of technically demanding customer engagements, deploying AI-native solutions in complex healthcare environments and collaborating with various teams to ensure successful outcomes.
Responsibilities
- Design, build, and deploy AI-native solutions inside customer environments, including MCP servers, agentic workflows, and custom integrations that adapt Komodo’s platform to each customer’s cloud infrastructure, systems, data contracts, and compliance requirements
- Own the infrastructure layer for customer deployments, including Terraform-managed AWS environments, VPC networking, IAM, security controls, and data isolation requirements
- Work with data at scale across tools like Databricks, Delta Lake, Snowflake, and S3 — debugging pipeline failures, optimizing performance, and building integrations that hold up in production
- Drive day-to-day technical engagement with customer stakeholders by scoping work, communicating progress, explaining tradeoffs, surfacing risks early, and building trust over time
- Turn field learnings into reusable FDE patterns, deployment templates, engineering standards, and roadmap input for Core Platform and architecture governance
Skills
- Production engineering experience: 7+ years of software engineering experience, with a track record of building and owning systems that run in production
- Agentic AI experience: Hands-on experience building LLM-powered applications, agentic workflows, or AI tools beyond prototypes. Experience with frameworks such as LangGraph, Strands, CrewAI, or similar is a plus
- Cloud infrastructure ownership: Strong AWS and Terraform experience, including VPC networking, IAM, security controls, and standing up reliable customer or single-tenant environments
- Application engineering depth: Strong Python skills, experience with APIs, async service patterns, and building software that other teams, customers, or businesses depend on
- Data platform experience: Experience working with large-scale data systems such as Databricks, Delta Lake, Snowflake, S3, or similar platforms, including debugging failures and improving performance or reliability
- Security and enterprise judgment: Comfort designing for data isolation, customer security requirements, and regulated environments with constraints such as SOC 2, BAA, HIPAA, or similar considerations
- Integration mindset: Experience building integration surfaces for AI systems, including MCP servers or equivalent patterns that connect tools, data, and workflows
- Customer-facing technical leadership: Ability to lead technical conversations with customer engineers and senior stakeholders, explain tradeoffs clearly, drive alignment, and build trust without handing off the conversation
- Comfort with ambiguity: Ability to work across infrastructure, application, data, and AI layers, find a path when one does not already exist, and deliver on what you commit to
- Experience with LLM evaluation frameworks in production, such as LangSmith, Braintrust, Ragas, or equivalent tools
- Familiarity with healthcare or life sciences data, including IQVIA data structures, pharma customer workflows, payer data contracts, or similar data environments
- Experience with API gateway or service mesh patterns used for AI tool integration
- Contributions to shared platform infrastructure, including code committed to shared repos, participation in architecture reviews, or tooling that other engineers depend on
- Experience deploying in regulated environments with data residency, audit logging, or multi-party data access constraints
Benefits
- Performance-based bonuses as determined in the Company’s sole discretion and in accordance with a written agreement or plan
- Equity awards
- Comprehensive health, dental, and vision insurance
- Flexible time off and holidays
- 401(k) with company match
- Disability insurance and life insurance
- Leaves of absence in accordance with applicable state and local laws and regulations and company policy
Company Overview
Komodo Health is an IT firm that specializes in data engineering, life sciences, artificial intelligence, and machine intelligence services. It was founded in 2014, and is headquartered in San Francisco, California, USA, with a workforce of 501-1000 employees. Its website is https://www.komodohealth.com/.Company H1B Sponsorship
Komodo Health has a track record of offering H1B sponsorships, with 1 in 2026, 15 in 2025, 17 in 2024, 13 in 2023, 24 in 2022, 21 in 2021, 6 in 2020. Please note that this does not guarantee sponsorship for this specific role.