Artificial Intelligence Practitioner

Artificial Intelligence Practitioner

At K , we deliver science, technology and engineering solutions to governments and companies around the world. K  employs approximately 37,000 people worldwide with customers in more than 85 countries and operations in over 28 countries. K  is proud to work with its customers across the globe to provide technology, value-added services, and long-term operations and maintenance services to ensure consistent delivery with predictable results.

Trinzic is the future independent company to be created through the planned spin-off of K 's Mission Technology Solutions business, expected in January 2027. Our people work at the frontier of what is possible, delivering solutions in challenging environments and advancing some of the world's highest-priority national security and space missions.

Backed by decades of mission success, deep expertise, and trusted partnerships, Trinzic will launch as a global organization with more than 18,000 employees supporting customers around the world. Join us at a defining moment and help shape the future of a company built to tackle complex challenges and make a meaningful impact.

Candidates who join K 's Mission Technology Solutions business before the spin-off will transition to Trinzic when the separation is complete and will not need to reapply for employment.

K  is seeking experienced practitioners of artificial intelligence (AI) to design and develop AI courses in support of our DoW customers. We are looking for an experienced practitioner who can train, fine-tune, diagnose, and compare neural-network models because the current team has strong AI application and integration capability but limited demonstrated depth in hands-on model development, representation learning, and experimental training workflows.

An individual who has used AI to change how their organization works. We are looking for individuals who have used these tools every day - and can bring that lived experience into the curriculum we are developing. If you have experience advising leadership, briefing stakeholders, or mentoring staff through technical change, you already have the foundation we need.

• AI Foundations for Government:
  How modern AI works - machine learning, deep learning, and large language models - explained for a non-technical federal audience; getting useful output and writing effective prompts; recognizing hallucination, bias, and model limitations; verification habits; and using AI safely in government work.
• AI Governance & Oversight:
  Who sets federal AI policy across the White House, OMB, NIST, Congress, and individual agencies, and how to locate the guidance that binds a given program; OMB M-25-21 on accelerating federal use of AI, M-25-22 on AI acquisition, and related guidance on procured language models; the NIST AI Risk Management Framework and DoW AI accountability principles; and assessing governance maturity.
• AI Ethics & Responsible Use:
  Fairness, transparency, and accountability applied to real decisions; identifying and responding to bias claims; and the privacy, civil-rights, accessibility, and contestability safeguards that automated decisions affecting the public must meet.
• Critical Thinking & Human Oversight:
  Evaluating AI output rather than accepting it; prompting as a reasoning skill; knowing which tasks to delegate and which to keep; and keeping human judgment accountable for the result.
• AI Change Management & Leadership:
  Leading responsible AI adoption in an agency; managing workforce concern and resistance; building AI literacy across a team; and helping people move through the shift in how federal work gets done.
• AI Acquisition & Vendor Risk:
  Embedding governance requirements into…