Senior Forward Deployed Engineer, AI

About this role

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Skills you'll use

What you'll do

• Learned the Marmot platform end to end, including the agent loop, MCP Gateway integration surface, and deployment toolchain that allows FDE to stand up isolated customer environments independently.
• Shipped your first customer-facing deliverable, such as a new MCP server, Databricks/Delta Lake integration, or agentic workflow — and seen it run in a real customer environment.
• Built strong working relationships with Sales, Solutions Engineering, and Product partners, with a clear understanding of who owns what and where you create leverage.
• Mapped the technical gaps in your first customer deployment and proposed a concrete plan to close them.
• Led end-to-end delivery of at least one high-complexity customer deployment, standing up AI-native solutions inside a customer’s own cloud environment and delivering outcomes with measurable business impact.
• Built and shipped production-grade agentic workflows and MCP servers that solve customer-specific problems.
• Established yourself as a trusted technical partner to senior customer stakeholders by leading architecture reviews, navigating compliance constraints, and helping convert pilots into broader programs.
• Contributed reusable deployment patterns to the FDE playbook, creating frameworks the team can rely on for future customer engagements.

Who can apply

• Participated in Komodo’s architecture governance, influencing platform decisions based on what you have seen and built in the field.
• Partnered cross-functionally with Sales, Product, Data, and Core Engineering to close gaps and shape the roadmap.
• 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.
• Production engineering experience: 7+ years of software engineering experience, with a track record of building and owning systems that run in production.

About Komodo Health

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