KamiwazaAI
KamiwazaAI
KamiwazaAI develops a secure AI orchestration platform for regulated industries and government operations. Its distributed architecture lets organizations run AI alongside their data across on-premises, cloud, edge, and classified environments, with security and auditability built in. The platform combines contextual retrieval through a living ontology, distributed data and inference capabilities, governed tools with relationship-based access controls, and multi-agent orchestration. KamiwazaAI’s work centers on making AI deployments practical across complex enterprise environments.

Mission Delivery Engineer

Deliver Kamiwaza’s generative AI applications for U.S. federal missions, taking solutions from proof of value through production deployment and secure handoff.

विवरण

  • Lead technical discovery with Department of Defense, intelligence community, and federal customers
  • Shape use cases, solution designs, measurable proof-of-value plans, and paths from pilot to production
  • Create tailored demonstrations, whiteboard sessions, and practical workshops
  • Develop rapid prototypes and custom applications on the Kamiwaza platform
  • Showcase retrieval-augmented generation, agent orchestration, event-driven data ingestion, and inference at the edge
  • Add evaluation methods and safeguards to proof-of-value projects
  • Turn successful pilots into production systems through code hardening, modular design, testing, and engineering standards
  • Connect solutions to identity, data, workflow, API, messaging, streaming, file storage, and enterprise data systems
  • Set up containerized deployment automation, consistent environments, CI/CD, logs, and metrics
  • Improve performance, reliability, observability, scalability, and operational readiness
  • Help security and accreditation teams with RMF/ATO-ready documentation and deployment patterns
  • Prepare handoff materials such as architecture diagrams, deployment guides, runbooks, infrastructure-as-code and configuration assets, and code repositories
  • Run knowledge-transfer and enablement sessions for customer and partner teams
  • Set acceptance criteria and guide production approval or transition planning
  • Coordinate with systems integrators and partners through production delivery
  • Assist Sales and Capture with technical win plans, proposals, risk reviews, and technical responses
  • Turn field feedback into product requirements and work with Engineering and Product to improve delivery
  • Create repeatable demonstration, proof-of-value, production-hardening, and handoff playbooks within the first 180 days

आवश्यकताएँ

  • At least six years in customer-facing technical roles supporting U.S. federal customers
  • Ability to lead engagements from discovery through production implementation and handoff
  • Experience working in sensitive mission settings with security and information-handling constraints
  • Strong software engineering skills; Python is strongly preferred
  • Experience with APIs, SDKs, and modern web or application frameworks
  • Working knowledge of large language models, retrieval-augmented generation, embeddings and vector search, agent workflows, and evaluation safeguards
  • Experience with distributed systems, APIs, event-driven or streaming systems, and data pipelines
  • Experience with Docker, Kubernetes, CI/CD, logging, and metrics; infrastructure as code is a plus
  • Strong presentation, whiteboarding, and workshop facilitation skills
  • U.S. citizenship
  • Active TS/SCI clearance
  • Ability to travel within the continental U.S. to customer sites and secure locations
  • Preferred: Department of Defense or intelligence community deployments in classified, air-gapped, or DDIL environments; familiarity with RMF/ATO and NIST 800-53
  • Preferred: production implementation, operational ownership, federal data platforms, streaming systems, identity and access systems, military service, or open-source and reference-solution experience

लाभ

  • Equity
  • Low-deductible medical plans
  • Flexible time off
  • Family leave support
  • Remote workspace support
  • Remote-first culture
  • High-autonomy work environment
  • Health coverage

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