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Kainos

Enterprise digital solutions and Workday deployments

Responsible AI Technical Lead

Natural Language Processing & LLMsPosted on Nov 12
Full-timeNo salary listedRemote

About the Job

Requirements

  • Foundational knowledge of Responsible AI in a data and AI context and how to apply it.
  • Knowledge of Responsible AI practices, trends, and principles, or experience on the delivery side.
  • Technical experience with AI testing, dataset selection, explainability, and validation.
  • Experience with AI assurance, including RAGAS, red-teaming, evaluation, and meta prompting, and correcting AI for fairness, safety, transparency, explainability, or bias.
  • Experience with AI safety, such as red-teaming AI services for bias or data protection, securing retrieval-augmented generation (RAG)-based tools against attacks, addressing AI third-party risks and mitigations, or operational resilience.
  • Ability to solve complex problems and learn new things.
  • Communication, stakeholder engagement, project management, and collaboration skills.
  • Experience managing, coaching, and developing junior members of a team and wider community.
  • NPPV3 clearance or ability to obtain it.
  • Ability to engage with high-level officials across government and industry.
  • Ability to simplify and clearly communicate ideas, including Responsible AI concerns, in conversations, documentation, and presentations to technical and non-technical stakeholders.
  • Critical thinking skills, openness to different perspectives, and a desire to constantly learn and develop.
  • Ability to work independently and manage competing priorities in a dynamic setting.

Responsibilities

  • Deliver Responsible AI assurance and testing across client engagements, ensuring generative and agentic AI services are fair, safe, explainable, and secure.
  • Design and run evaluations, red-teaming, and bias testing; implement guardrails and explainability techniques; and turn results into clear evidence.
  • Work on government programmes to create evidence that builds trust in AI.
  • Help shape the AI assurance offering by building reusable tools and frameworks, contributing to bids, and growing the organization's reputation in trustworthy AI.
  • Act as a subject matter expert alongside various teams, fostering innovation, continuous learning, and engineering excellence.
  • Support delivery of AI adoption projects by implementing Responsible AI practices.

Desired Qualifications

  • Experience with machine learning fairness and toolkits.
  • Experience with risk-based ethics and Responsible AI frameworks.
  • Experience designing and running tests for bias, fairness, and mitigations.
  • Experience creating model guardrails and ethical constraints.
  • Experience creating citations and references, as well as transparency documentation.
  • Experience validating and evidencing agentic goal alignment and behaviour drift in an ethics context.
  • Industry or technical certifications in AI.
  • Experience shaping commercial Responsible AI offerings, winning AI work, and providing wider pre-sales support.

About the Company

Kainos

Enterprise digital solutions and Workday deployments

Kainos provides digital technology solutions and Workday deployments for enterprise clients, helping organizations optimize HR and operational processes. Their approach centers on delivering Workday implementations, digital transformation, and cloud migration through consulting and partnerships, with emphasis on collaboration, security, and on-time delivery. Kainos differentiates itself by combining deep HR-focused expertise with strong customer relationships, a positive culture, and a commitment to diversity and community initiatives, aiming to help clients grow and operate more efficiently. Its goal is to help enterprises navigate modern business challenges by implementing reliable digital solutions that improve efficiency and enable sustained growth.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Belfast, United Kingdom
Founded
1986

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