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# Cyber Artificial Intelligence Specialist

- **Company:** DSTL, LTD.
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Temporary contract
- **Skills:** Artificial Intelligence, Python (Programming Language), Software Engineering, Large Language Models, Generative AI, Information Technology
- **Published:** November 4, 2026
- **Apply:** https://computerjobs.com/us/en/mob/job/6BDA70FF04D8B980E9

## About the Role

* A degree in a STEM discipline such as Computer Science, Electronic Engineering, Embedded Systems, Physics or Mathematics, or equivalent professional experience.
 * Strong knowledge of Artificial Intelligence technologies, including generative AI, large language models (LLMs), foundation models and autonomous systems.
 * Strong Python programming skills and experience using AI development frameworks and tooling.
 * Experience evaluating, testing or assuring AI systems using evidence-based and analytical approaches.
 * Strong software engineering, problem-solving and technical leadership capabilities.
 * Experience applying AI technologies to solve complex and non-routine technical challenges.
 * Experience making robust technical assessments from diverse and incomplete sources of information.
 * Experience leading and contributing effectively within multidisciplinary teams.
 * Experience coaching, mentoring and developing colleagues.
 * The ability to communicate complex technical concepts clearly to a wide range of audiences.

## Description

You will work on challenging technical problems, exploring the application of generative AI, large language models (LLMs), foundation models and autonomous systems to support operational effectiveness and decision-making. Working closely with scientists, engineers, cyber specialists and stakeholders, you will evaluate novel technologies, assess their strengths and limitations, and help shape their safe, responsible and effective use., * Evaluate emerging AI capabilities, including generative AI, large language models, foundation models and autonomous systems.

 * Assess the performance, effectiveness, risks and limitations of AI systems, producing evidence-based recommendations.
 * Contribute to the assurance, testing and validation of AI-enabled capabilities.
 * Develop innovative approaches, tools and methodologies that enhance AI capability and operational effectiveness.
 * Provide authoritative technical advice and guidance to customers, stakeholders and project teams.
 * Produce high-quality technical reports, assessments and briefings for both technical and non-technical audiences.
 * Lead technical activities within multidisciplinary teams, ensuring delivery of high-quality outcomes.
 * Support the development of organisational AI expertise through mentoring, coaching and knowledge sharing.