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Kamiwaza AI

Generative AI orchestration platform for enterprises

Mission Delivery Engineer

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-timeEl Segundo, CA, USA

About the Job

Requirements

  • At least 6 years in customer-facing technical roles supporting U.S. federal customers.
  • Demonstrated ability to lead end-to-end engagements covering discovery, technical validation, proof of value or pilot, production implementation, and handoff to a customer or partner.
  • Ability to operate in sensitive mission contexts and communicate within security and information-handling constraints.
  • Strong software engineering skills and ability to build and harden applications rapidly; Python is strongly preferred, with experience using APIs, software development kits, and modern web or application frameworks.
  • Working knowledge of generative AI systems and large language models, retrieval-augmented generation, embeddings and vector search, agentic workflows, and evaluation and 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, continuous integration and continuous delivery, and logging and metrics.
  • Ability to translate technical capabilities into mission impact and customer value for executive and practitioner audiences.
  • Strong storytelling, whiteboarding, and workshop facilitation skills, including comfort driving technical decisions and handling objections in real time.
  • Ability to drive outcomes with minimal supervision while coordinating across Sales, Product, Engineering, and partners.
  • U.S. citizenship is required.
  • An active TS/SCI clearance is required.
  • Ability to travel within the continental United States, including to customer sites and secure locations, as required.

Responsibilities

  • Lead technical discovery with Department of Defense, Intelligence Community, and federal customers to understand mission workflows, data sources, operating constraints including disconnected, disrupted, intermittent, and limited environments, stakeholders, and success criteria.
  • Translate discovery into a use case definition, solution outline, and measurable proof-of-value plan specifying success measures and required data.
  • Define the proof-of-value-to-production path, including architecture assumptions, integration points, security considerations, and production go-live prerequisites.
  • 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 retrieval-augmented generation, agentic orchestration, streaming and event-driven ingestion, and edge-capable inference aligned to customer constraints.
  • Instrument proofs of value with evaluation and guardrails, including grounding checks, policy constraints, and transparency measures.
  • Convert successful proofs of value 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 and streaming systems, file stores, and enterprise data platforms.
  • Establish deployment automation and development, test, and production environment parity using containerization and DevOps practices such as Docker, Kubernetes, continuous integration and continuous delivery, and logging and metrics.
  • Drive performance, reliability, and operational readiness for mission workloads through observability, scaling, cost and 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 a Risk Management Framework and Authority to Operate-ready approach, including documentation inputs, deployment patterns, and control considerations.
  • Align demonstrations, proofs of value, and production deployments with customer environment constraints and sustainment realities, including classified and air-gapped environments.
  • Deliver handoff packages to customers or partners, including architecture diagrams, deployment guides, runbooks, infrastructure-as-code and 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 documented production sign-off or an agreed transition plan for each engagement.
  • Coordinate with systems integrators and partners to ensure continuity from proof of value through production, including roles and 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 delivery and technical risk assessments.
  • Contribute to proposals and technical responses covering architecture, integration approach, security posture, and implementation plan.
  • Capture structured engagement feedback and translate it into actionable product requirements, prioritizing gaps that affect multiple customers.
  • Partner with Engineering and Product to improve packaging, documentation, deployment automation, and connectors that reduce delivery friction.
  • Develop hands-on mastery of the Kamiwaza platform, including core capabilities, APIs and software development kits, deployment patterns, and differentiators.
  • Establish a repeatable demonstration and proof-of-value environment with containers, Kubernetes, configurations, datasets, and scripts that run reliably on customer laptops and in constrained environments.
  • Create a proof-of-value-to-production starter kit with a reference repository structure, baseline continuous integration and continuous delivery, logging and metrics standards, and handoff documentation templates.
  • Shadow priority accounts to learn target missions, typical data sources, and stakeholder dynamics, and identify high-leverage proof-of-value use cases.
  • Lead discovery and tailored demonstrations for priority accounts and own proof-of-value engagements end to end.
  • Convert at least one proof of value into a production implementation or production-ready pilot with deployment automation, observability, and security posture aligned to the target environment.
  • Establish a repeatable handoff process with a partner or customer team using documentation, enablement sessions, and acceptance criteria.
  • Partner with Sales and Capture to influence active pursuits using technical win themes and delivery risk mitigation plans.
  • Create repeatable playbooks for discovery, proof-of-value scoping, demonstration flows, production hardening, and handoff and enablement.
  • Reduce time to demonstration and production by standardizing reference architectures and deployment patterns across cloud, core data centers, and edge environments.
  • Enable a partner or customer team to independently deploy and operate a Kamiwaza-based solution using handoff materials and training.
  • Provide structured field feedback that influences roadmap items related to federal deployment, security, integration needs, and delivery acceleration.

Desired Qualifications

  • Experience supporting Department of Defense or Intelligence Community deployments in classified, air-gapped, or disconnected, disrupted, intermittent, and limited environments; familiarity with Risk Management Framework and Authority to Operate processes and National Institute of Standards and Technology Special Publication 800-53 control families.
  • Experience delivering production implementations with clear operational ownership, including runbooks, monitoring, incident response posture, and sustainment handoffs.
  • Experience building integrations with common federal data platforms, streaming systems, and identity and access systems.
  • Prior military service or direct experience supporting operational mission teams.
  • Published demonstrations, open-source contributions, or prior work building reference solutions for developer platforms.

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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