Mission Delivery Engineer - CO

Kamiwaza AI•Colorado Springs, CO

1d•$170,000 - $210,000•Remote

About The Position

Kamiwaza AI is seeking a Mission Delivery Engineer to serve as a forward-deployed, hands-on technical leader for U.S. federal customers. The role owns the technical journey from pre-sales discovery and proof-of-value demonstrations of custom applications on the Kamiwaza platform through production implementation and handoff to a customer or integration partner. It combines consultative customer engagement, technical execution, software development, production hardening, operationalization, enablement, and structured handover. Deployments may take place in constrained, disconnected, classified, or air-gapped mission environments. The role accelerates federal adoption of Kamiwaza by translating mission use cases into credible proofs of value and demos, then converting successful engagements into production-ready deployments and repeatable delivery patterns. During the first 180 days, the engineer is expected to master the platform, create reusable demo and PoV-to-production materials, lead priority-account discovery and PoVs, convert at least one PoV into a production implementation or production-ready pilot, and develop repeatable playbooks and partner enablement practices. The position is based in Colorado, with a remote-first culture that allows work from anywhere. It requires U.S. citizenship, an active TS/SCI clearance, and CONUS travel to customer sites and secure locations as needed. The role offers a base salary of $170,000–$210,000, plus equity and benefits.

Requirements

At least 6 years in customer-facing technical roles supporting U.S. federal customers.
Demonstrated ability to lead end-to-end engagements, including discovery, technical validation, PoV or pilot, production implementation, and handoff.
Comfort working in sensitive mission contexts and communicating within security and information-handling constraints.
Strong software engineering skills and ability to rapidly build and harden applications; Python is strongly preferred.
Experience with APIs/SDKs and modern web or application frameworks.
Working knowledge of GenAI systems, including LLMs, RAG/retrieval, embeddings/vector search, agentic workflows, and evaluation/guardrails.
Experience with distributed-systems concepts and integration patterns, including APIs, event-driven or streaming systems, and data pipelines.
Experience with containerized deployments and modern DevOps practices, including Docker, Kubernetes, CI/CD, and logging/metrics.
Ability to translate technical capabilities into mission impact and customer value for executive and practitioner audiences.
Strong storytelling, whiteboarding, and workshop facilitation skills; ability to drive technical decisions and handle objections in real time.
High ownership and bias to action, with ability to drive outcomes with minimal supervision and coordinate across Sales, Product, Engineering, and partners.
U.S. citizenship.
Active TS/SCI clearance.
Ability to travel within 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 operational ownership, including runbooks, monitoring, incident-response posture, and sustainment handoffs.
Experience integrating 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.
Familiarity with infrastructure as code.

Responsibilities

Lead technical discovery with DoD/IC and federal customers, covering mission workflows, data sources, operating constraints, stakeholders, and success criteria.
Translate discovery into use-case definitions, solution outlines, measurable PoV plans, and upfront PoV-to-production paths.
Design and deliver tailored demonstrations, whiteboard sessions, and hands-on workshops for executive and practitioner audiences.
Build rapid prototypes and custom applications on the Kamiwaza platform using real or representative customer data.
Demonstrate mission workflows such as RAG, agentic orchestration, streaming or event-driven ingestion, and edge-capable inference.
Instrument PoVs with evaluation and guardrails, including grounding checks, policy constraints, and transparency measures.
Convert successful PoVs into production implementations by hardening code, modularizing components, introducing testing, and aligning with customer engineering standards.
Design and implement integrations with customer identity, data, and workflow systems, including APIs, messaging or streaming systems, file stores, and enterprise data platforms.
Establish deployment automation and dev/test/prod environment parity using containerization and DevOps practices such as Docker, Kubernetes, CI/CD, logging, and metrics.
Drive performance, reliability, and operational readiness through observability, scaling, cost/performance tradeoffs, and failure-mode planning.
Apply security-first practices for data containment, least privilege, auditability, and safe handling of sensitive customer information.
Partner with security and accreditation stakeholders to support RMF/ATO readiness, including documentation inputs, deployment patterns, and control considerations.
Align demos, PoVs, and deployments with customer environment constraints and sustainment realities, including classified and air-gapped environments.
Prepare handoff packages such as architecture diagrams, deployment guides, runbooks, IaC/configuration artifacts, and code repositories.
Lead knowledge-transfer and enablement sessions for customer and partner engineers, operators, and sustainment teams.
Define acceptance criteria and drive documented production sign-off or an agreed transition plan.
Coordinate with systems integrators and partners to maintain continuity from PoV through production, clarifying roles, interfaces, and escalation paths.
Partner with Sales and Capture on technical win strategies, customer objections, bid/no-bid decisions, and delivery and technical risk assessments.
Contribute technical content to proposals and responses, including architecture, integration, security posture, and implementation plans.
Capture engagement feedback and translate it into product requirements; work with Engineering and Product to improve packaging, documentation, deployment automation, and connectors.
Build platform mastery, a repeatable demo/PoV environment, and a PoV-to-production starter kit during the first 45 days.
Lead discovery and tailored demos for priority accounts, own 1–2 PoV engagements end-to-end, and convert at least one PoV into a production implementation or production-ready pilot during days 46–120.
Develop repeatable playbooks, reduce time-to-demo and time-to-production, enable at least one customer or partner team to deploy and operate a solution independently, and provide structured field feedback during days 121–180.