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Mission Delivery Engineer - Oahu

Job in Silverthorne, Summit County, Colorado, 80497, USA
Listing for: FirstMile Ventures
Full Time position
Listed on 2026-10-25
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 170000 - 210000 USD Yearly USD 170000.00 210000.00 YEAR
Job Description & How to Apply Below
Mission Delivery Engineer (MDE)

Location:
Oahu Hawaii

Role Overview

Kamiwaza AI is seeking a Mission Delivery Engineer (MDE) to serve as a forward-deployed, hands-on technical leader for U.S. federal customers. You will own the technical journey from pre-sales discovery and proof-of-value (PoV) demos of custom applications on the Kamiwaza platform through production implementation and successful hand-off to the customer or an integration partner.

This role is built for a builder who is also consultative and delivery-minded: you can run discovery, quantify value, tell a compelling technical story, write real code, and then harden what you built so it can operate reliably in mission environments (including constrained, disconnected, or air-gapped deployments).

This is not a pure presentation role and not a back-office engineering role. It is an end-to-end mission delivery role that combines pre-sales technical execution with post-sale implementation, operationalization, enablement, and structured handover.

Core Mission

Accelerate federal adoption of Kamiwaza by translating high-value mission use cases into credible PoVs and demo experiences, and then converting the successful PoVs into production-ready deployments and repeatable delivery patterns that reduce risk, increase win rate, and improve time-to-mission impact.

Key Responsibilities

Mission Discovery, Scoping & Success Planning

  • Lead technical discovery with DoD/IC and federal customers: mission workflows, data sources, operating constraints (including DDIL), stakeholders, and success criteria.

  • Translate discovery into a clear use case definition, solution outline, and measurable PoV plan (what 'good' looks like, how it will be measured, and what data is required).

  • Define a PoV-to-production path upfront: architecture assumptions, integration points, security considerations, and what must be true for production go-live.

Pre-Sales PoV, Demos, Workshops & Rapid Prototyping

  • Design and deliver tailored demos, whiteboard sessions, and hands-on workshops for executive and practitioner audiences.

  • Build rapid prototypes and custom apps on top of the Kamiwaza platform using real or representative customer data, often under tight timelines.

  • Demonstrate mission workflows such as RAG, agentic orchestration, streaming/event-driven ingestion, and edge-capable inference, aligned to customer constraints.

  • Instrument PoVs with basic evaluation and guardrails (grounding checks, policy constraints, transparency) to maintain credibility and accelerate stakeholder buy-in.

Production Implementation & Delivery Engineering

  • Convert successful PoVs into production implementations: harden code, modularize components, introduce testing, and align with customer engineering standards.

  • Design and implement integrations with customer identity, data, and workflow systems (APIs, messaging/streaming, file stores, enterprise data platforms).

  • Establish deployment automation and environment parity (dev/test/prod) using containerization and modern Dev Ops practices (Docker, Kubernetes, CI/CD, logging/metrics).

  • Drive performance, reliability, and operational readiness for mission workloads (observability, scaling, cost/performance tradeoffs, and failure-mode planning).

Security, Compliance & Deployment Readiness

  • Operate with a security-first mindset: data containment, least privilege, auditability, and safe handling of sensitive customer information.

  • Partner with security/accreditation stakeholders to support an RMF/ATO-ready approach (documentation inputs, deployment patterns, and control considerations).

  • Ensure demos, PoVs, and production deployments remain credible by aligning with customer environment constraints and sustainment realities (including classified and air-gapped environments).

H…

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