Senior AI Infra & Deployments Engineer (Remote)

Komodo Health

United States

Hybrid

USD 191,000 - 220,000

Full time

14 days+

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Job summary

Komodo Health is hiring a Senior Forward Deployed Engineer, AI Infrastructure & Deployments to own end-to-end delivery for complex customer engagements—architecture through deployment inside a customer cloud, data infrastructure, and compliance environment.

This deeply technical role requires production code, cloud-native deployment patterns, MCP servers, and close collaboration with customers to translate requirements, surface risks, and build scalable solutions in production.

Qualifications

  • Production-grade software running in production environments.
  • Expertise building LLM-powered applications and agentic workflows.
  • Strong AWS and Terraform experience, with secure multi-tenant deployments.
  • Deep Python development for APIs and asynchronous services.
  • Experience with Databricks/Delta Lake and data platforms.
  • Ability to navigate compliance constraints like SOC 2, HIPAA.
  • Excellent communication with customer engineers and stakeholders.
  • Comfort working across infra, app, data, and AI layers in ambiguous settings.

Responsibilities

  • Design, build, and deploy AI-native solutions inside customer environments.
  • Own infrastructure layer for deployments including Terraform-managed AWS environments.
  • Work with data at scale across Databricks, Delta Lake, Snowflake, and S3.
  • Drive day-to-day technical engagement with customer stakeholders by scoping work, communicating progress, and surfacing risks.
  • Turn field learnings into reusable FDE patterns, deployment templates, and engineering standards.

Skills

Production engineering
Agentic AI
AWS
Terraform
Python
Databricks
Security & Compliance

Tools

AWS
Terraform
Databricks
Delta Lake
Snowflake
S3

Job description

Komodo Health is hiring a Senior Forward Deployed Engineer, AI Infrastructure & Deployments to own end-to-end delivery for complex customer engagements—architecture through deployment inside a customer cloud, data infrastructure, and compliance environment.

This deeply technical role requires production code, cloud-native deployment patterns, MCP servers, and close collaboration with customers to translate requirements, surface risks, and build scalable solutions in production.

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