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Kamiwaza AI

Generative AI orchestration platform for enterprises

Mission Delivery Engineer

Pre-Sales Solution Engineering +1Confirmed live in the last 24 hours
Full-timeRemote in USA

About the Job

Requirements

  • At least 6 years in customer-facing technical roles supporting U.S. federal customers, such as Solutions Engineer, Sales Engineer, Solutions Architect, Forward-Deployed Engineer, or Delivery Engineer.
  • Demonstrated ability to lead end-to-end engagements involving 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, along with experience using APIs, SDKs, and modern web or application frameworks.
  • Working knowledge of generative AI systems, large language models, retrieval-augmented generation, retrieval, embeddings, 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. Familiarity with infrastructure as code is a plus.
  • Ability to translate technical capabilities into mission impact and customer value for executive and practitioner audiences.
  • Strong storytelling, whiteboarding, and workshop facilitation skills; 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.
  • Active Top Secret/Sensitive Compartmented Information clearance is required.
  • Ability to travel frequently within the continental United States, including to customer sites and secure locations.

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-bandwidth 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 upfront, including architecture assumptions, integration points, security considerations, and production go-live requirements.
  • 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, often under tight timelines.
  • Demonstrate mission workflows such as retrieval-augmented generation, agentic orchestration, streaming and event-driven ingestion, and edge-capable inference in alignment with customer constraints.
  • Instrument proofs of value with basic evaluation and guardrails, including grounding checks, policy constraints, and transparency.
  • 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 modern DevOps practices, including Docker, Kubernetes, continuous integration and continuous delivery, and logging and metrics.
  • Drive performance, reliability, and operational readiness for mission workloads, including 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 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 at the end of 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 feedback from engagements 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 SDKs, deployment patterns, and differentiators.
  • Set up a repeatable demonstration and proof-of-value environment using 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 containing 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 a 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 through documentation, enablement sessions, and acceptance criteria.
  • Partner with Sales and Capture to influence active pursuits with technical win themes and delivery risk mitigation plans.
  • Create repeatable playbooks, including discovery checklists, proof-of-value scoping templates, demonstration flows, production-hardening checklists, and handoff and enablement kits.
  • 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 informs roadmap items related to federal deployment, security, integration needs, and delivery acceleration.

Desired Qualifications

  • Python proficiency is strongly preferred.
  • Familiarity with infrastructure as code.
  • Experience supporting Department of Defense or intelligence community deployments in classified, air-gapped, or disconnected, disrupted, intermittent, and limited-bandwidth environments; familiarity with Risk Management Framework/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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