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Mission Delivery Engineer - CA

Job in El Segundo, Los Angeles County, California, 90245, USA
Listing for: Kamiwaza AI
Full Time position
Listed on 2026-10-24
Job specializations:
  • Software Development
    DevOps, AI Engineer (Applied/Software), Backend Developer, Software Architect
Salary/Wage Range or Industry Benchmark: 120000 - 160000 USD Yearly USD 120000.00 160000.00 YEAR
Job Description & How to Apply Below
Mission Delivery Engineer (MDE)

Location: El Segundo, CA

Role Overview

Kamiwaza AI is seeking a Mission Delivery Engineer (MDE) to serve as a forward‑deploy, 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 hand‑over.

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…

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