[Remote] Senior Forward Deployed Engineer, AI

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

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