Mission Delivery Engineer

Kamiwaza AI

36d•$170,000 - $210,000•Remote

About The Position

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.

Requirements

6+ years in customer-facing technical roles (Solutions Engineer, Sales Engineer, Solutions Architect, Forward-Deployed Engineer, Delivery Engineer, or similar) supporting U.S. federal customers.
Demonstrated ability to lead end-to-end engagements: discovery, technical validation, PoV/pilot, production implementation, and handoff to customer or partner.
Comfort operating in sensitive mission contexts and communicating clearly within security and information-handling constraints.
Strong software engineering skills with the ability to build and harden applications rapidly (Python strongly preferred; experience with APIs/SDKs and modern web/app frameworks).
Working knowledge of GenAI systems (LLMs), RAG/retrieval, embeddings/vector search, agentic workflows, and evaluation/guardrails.
Experience with distributed systems concepts and integration patterns (APIs, event-driven/streaming, data pipelines).
Experience with containerized deployments and modern DevOps practices (Docker, Kubernetes, CI/CD, logging/metrics); familiarity with infrastructure as code is a plus.
Ability to translate technical capabilities into mission impact and customer value - tailored to executive and practitioner audiences.
Strong storytelling, whiteboarding, and workshop facilitation skills; comfortable driving technical decisions and handling objections in real time.
High ownership and bias-to-action: able to drive toward outcomes with minimal supervision while coordinating across Sales, Product, Engineering, and partners.
U.S. citizenship required.
Active TS/SCI clearance.
Ability to travel frequently (CONUS) including to customer sites and secure locations as required.

Nice To Haves

Experience supporting DoD/IC deployments in classified, air-gapped, or DDIL environments; familiarity with RMF/ATO processes and NIST 800-53 control families.
Experience delivering production implementations with clear operational ownership (runbooks, monitoring, incident response posture, and sustainment handoffs).
Experience building integrations with common federal data platforms, streaming systems, and identity/access systems.
Prior military service or direct experience supporting operational mission teams.
Published demos, open-source contributions, or prior work building reference solutions for developer platforms.

Responsibilities

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.
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.
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 DevOps 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).
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).
Deliver clear hand-off packages to customers or partners: architecture diagrams, deployment guides, runbooks, IaC/configuration artifacts, and code repositories as appropriate.
Lead knowledge transfer sessions and enablement workshops for customer and partner engineers, operators, and sustainment teams.
Define acceptance criteria with stakeholders and drive to a documented production sign-off (or a clear, agreed transition plan) at the end of each engagement.
Coordinate with systems integrators and partners to ensure continuity from PoV through production, including roles/responsibilities, interfaces, and escalation paths.
Partner with Sales and Capture to shape technical win strategies, address customer objections, and support bid/no-bid decisions with clear delivery and technical risk assessment.
Contribute to proposals and technical responses (architecture, integration approach, security posture, and implementation plan).
Capture structured feedback from engagements and translate it into actionable product requirements, prioritizing gaps that impact multiple customers.
Partner with Engineering and Product to improve packaging, documentation, deployment automation, and connectors that reduce delivery friction.