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Kamiwaza AI

Generative AI orchestration platform for enterprises

Mission Delivery Engineer (Forward Deployed Engineer)

Implementation & Technical Account ManagementUpdated on Nov 12
Full-timeEl Segundo, CA, USA

About the Job

Requirements

  • U.S. citizenship and an active TS/SCI clearance are required.
  • At least 6 years of experience in customer-facing technical roles supporting U.S. federal customers, such as solutions, sales, forward-deployed, or delivery engineering.
  • A track record of carrying engagements from discovery through production and handoff.
  • Strong hands-on coding skills; Python is preferred.
  • Experience with Docker, Kubernetes, and continuous integration/continuous delivery (CI/CD).
  • Ability to explain technical work in terms of mission impact to operators and senior leaders.

Responsibilities

  • Conduct discovery with Department of Defense and Intelligence Community users to understand workflows, data, and operating constraints, including denied, disrupted, intermittent, and limited (DDIL) conditions; define use cases and measurable success plans.
  • Prototype custom applications on the Kamiwaza platform using real or representative data, including retrieval-augmented generation (RAG), agentic workflows, streaming ingestion, and edge inference; run demonstrations and hands-on workshops for operators and senior leaders.
  • Harden prototypes for production through testing, CI/CD, containers, Kubernetes, and observability, and integrate them with customer identity, data, and workflow systems for reliable operation in classified and air-gapped environments.
  • Work with security and accreditation teams to support a security-first, Risk Management Framework (RMF)/Authority to Operate (ATO)-ready approach.
  • Deliver architecture diagrams, runbooks, deployment guides, and code, and train customer and partner teams to operate the delivered solution themselves.
  • Help Sales and Capture develop technical win strategies and proposals, and share field learnings with Product and Engineering.
  • During days 0–45, master the platform, build a toolkit, create a portable demo environment for constrained settings, and develop a starter kit for moving prototypes to production.
  • During days 46–120, own one or two customer engagements end to end and convert at least one into a production deployment or production-ready pilot.
  • During days 121–180, turn successful approaches into repeatable playbooks and enable a partner or customer team to deploy and operate Kamiwaza independently.

Desired Qualifications

  • Hands-on experience with large language models (LLMs), RAG, vector search, agentic workflows, or AI evaluation and guardrails.
  • Deployments in classified, air-gapped, or DDIL environments, and familiarity with RMF/ATO and NIST 800-53.
  • Integrations with federal data platforms, streaming systems, or identity and access systems.
  • Prior military service or direct support of operational mission teams.
  • Infrastructure as code, open-source contributions, or published demos and reference solutions.

About the Company

Kamiwaza AI

Generative AI orchestration platform for enterprises

Kamiwaza AI provides a platform for enterprises to run generative AI models where their data already lives—in the cloud, on-premises, or at the edge. It uses a Distributed Data Engine to keep data in place and create an intelligent fabric, and an Inference Mesh that coordinates and parallelizes AI workloads across distributed environments. It is hardware-agnostic and works with existing infrastructure from Intel, NVIDIA, and AMD, accessible through a single API and SDK, differentiating itself by avoiding large data migrations. Its goal is to help large organizations use AI securely and at scale with locality-aware processing and data sovereignty, effectively acting like a Docker for Generative AI.

Company size
11-50
Company stage
Seed
Total funding
$11M
Headquarters
Silverthorne, CO
Founded
2023

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