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Kainos

Responsible AI Technical Lead

Kainos is hiring a Responsible AI Technical Lead in Birmingham, United Kingdom. Level rates it ; you can apply on Kainos.

Level's read on this job

  • Little AI ●○○○ is how Level rates this role: aI is not part of the work.
  • The posting mentions RAG and AI safety among its tools and skills.
  • Level classes it as a lead role.
  • Kainos has 125 other open roles on Level.
  • Posted in the last few days.

AI in this role

ragai-safety
Join Kainos and Shape the Future

At Kainos, we’re problem solvers, innovators, and collaborators - driven by a shared mission to create real impact. Whether we’re transforming digital services for millions, delivering cutting-edge Workday solutions, or pushing the boundaries of technology, we do it together.


We believe in a people-first culture, where your ideas are valued, your growth is supported, and your contributions truly make a difference. Here, you’ll be part of a diverse, ambitious team that celebrates creativity and collaboration.


Ready to make your mark? Join us and be part of something bigger.

MAIN PURPOSE OF THE ROLE & RESPONSIBILITIES IN THE BUSINESS:

As a Responsible AI Technical Lead at Kainos, you’ll be responsible for the successful delivery of Responsible AI assurance and testing across our client engagements, making sure the generative and agentic AI services we design, build or assure are fair, safe, explainable, and secure. You’ll combine hands-on data science with assurance expertise. That means designing and running evaluations, red-teaming and bias testing, implementing guardrails and explainability techniques, and turning the results into clear evidence. You’ll work on high-profile programmes across government, helping create evidence that builds trust in AI. You’ll also help shape our AI assurance offering by building reusable tools, frameworks, contributing to bids, and growing our reputation as a leader in trustworthy AI. In this capacity, you will work alongside various teams, and act as a subject matter expert in these areas, fostering a culture of innovation, continuous learning, and engineering excellence.

MINIMUM (ESSENTIAL) REQUIREMENTS:

  • Foundational knowledge of Responsible AI in a data & AI context and how to apply it
  • Knowledge of Responsible AI practices, trends, and principles or experience on delivery side
  • Technical experience with AI testing, dataset selection, explainability, validation
  • Experience with AI assurance elements such as testing (RAGAS, red-teaming, evaluation, meta prompting) and correcting AI for fairness, safety, transparency, explainability, or bias
  • Experience with AI safety elements such as red-teaming AI services for bias or data protection, securing RAG-based tools against attacks, AI third party risks and mitigations, or operational resilience
  • Collaborative and positive mindset
  • Ability to solve complex problems and learn new things
  • Excellent communication, stakeholder engagement, project management, and collaboration skills.
  • We are passionate about developing people, you will bring experience in managing, coaching and developing junior members of a team and wider community.
  • NPPV3 clearance or ability to obtain it.

DESIRABLE:

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

WHO YOU ARE:

Our vision is to enable outstanding people to create digital solutions that have a positive impact on people’s lives. Our values aren't abstract; they are the behaviours we expect from each other every day and underpin everything that we do. We expect everyone to display our values by being determined in how obstacles are overcome; honest when dealing with others; respectful of how you treat others; creative to find solutions to complex problems and cooperative by sharing information, knowledge and experience. These values, applied collectively, help to produce an outstanding Kainos person, team and culture.

You will bring the ability to engage with high level officials across government and industry. Excellent communication, stakeholder engagement, project management, and collaboration skills. Ability to simplify and clearly communicate ideas, including Responsible AI concerns – in conversation, documentation, and presentations to technical and non-technical stakeholders. Critical thinking skills, openness to different perspectives and a desire to constantly learn and develop. Collaborative mindset and demonstrable experience of contributing a positive impact to team ethos. Ability to work independently and manage competing priorities in a dynamic setting. Support delivery of AI adoption projects by implementing Responsible AI practices.

ABOUT US

At Kainos we use technology to solve real problems for our customers, overcome big challenges for businesses and make people’s lives easier. We build strong relationships with our customers and go beyond to change the way they work today and the impact they have tomorrow.

Our two specialist practices, Digital Services and Workday, work globally for clients across healthcare, commercial and the public sector to make the world a little bit better, day by day.

Embracing our differences

At Kainos, we believe in the power of diversity, equity and inclusion. We are committed to building a team that is as diverse as the world we live in, where everyone is valued, respected, and given an equal chance to thrive. We actively seek out talented people from all backgrounds, regardless of age, race, ethnicity, gender, sexual orientation, religion, disability, or any other characteristic that makes them who they are. We also believe every candidate deserves a level playing field.

Our friendly talent acquisition team is here to support you every step of the way, so if you require any accommodations or adjustments, we encourage you to reach out.

We understand that everyone's journey is different, and by having a private conversation we can ensure that our recruitment process is tailored to your needs.

How we rate this

Responsible AI Technical Lead at Kainos rates 14 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

RAGAI Safety

Questions you could be asked

  1. How would you design a retrieval step so the model answers from real data instead of guessing?
  2. How do you think about the risk of an AI system in this kind of role failing silently?

Adapt your resume

  • List these exact terms on your resume: RAG and AI Safety. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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