FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Responsible AI practices, including assurance, testing, and explainability techniques, while effectively communicating complex AI concepts to diverse stakeholders. Proven ability to manage projects, engage with government officials, and contribute to the development of AI frameworks and tools.
Highest-signal resume keywords
Responsible AI AssuranceAI Testing and ValidationRed-Teaming ExperienceStakeholder EngagementNPPV3 Clearance
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Responsible AI KnowledgeAI Explainability TechniquesBias TestingDataset SelectionAI Safety ElementsEvaluation and Meta PromptingFairness CorrectionOperational ResilienceModel GuardrailsEthical Constraints
Soft Skills
Excellent CommunicationProject ManagementCollaboration SkillsProblem SolvingCoaching and Development
Certifications & Qualifications
Industry Certifications in AINPPV3 Clearance
Industry Keywords
Government ProgrammesTrustworthy AIAI Adoption ProjectsRisk-Based EthicsCommercial Responsible AI Offerings
About the role
Key responsibilities & impact- Deliver Responsible AI assurance and testing across client engagements
- Ensure 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
- Turn testing and assurance results into clear evidence
- Work on high-profile government programmes to build trust in AI
- Shape Kainos’s AI assurance offering through reusable tools and frameworks
- Contribute to bids and support the company’s trustworthy AI reputation
- Act as a Responsible AI subject matter expert across teams
- Support AI adoption projects by implementing Responsible AI practices
- Engage with high-level government and industry officials
- Communicate Responsible AI concerns in conversations, documentation, and presentations to technical and non-technical stakeholders
- Manage competing priorities and contribute to team development and engineering excellence
Requirements
What you’ll need- 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 elements including RAGAS, red-teaming, evaluation, and meta prompting
- Experience correcting AI for fairness, safety, transparency, explainability, or bias
- Experience with AI safety elements including red-teaming AI services, data protection, securing RAG-based tools, third-party AI risks and mitigations, or operational resilience
- Ability to solve complex problems and learn new things
- Excellent communication, stakeholder engagement, project management, and collaboration skills
- Experience managing, coaching, and developing junior team members and the wider community
- NPPV3 clearance or ability to obtain it
- Desirable: experience with machine learning fairness and toolkits
- Desirable: experience with risk-based ethics and Responsible AI frameworks
- Desirable: experience designing and running bias and fairness tests and mitigations
- Desirable: experience creating model guardrails and ethical constraints
- Desirable: experience creating citations, references, and transparency documentation
- Desirable: experience validating and evidencing agentic goal alignment and behaviour drift in an ethics context
- Desirable: industry or technical certifications in AI
- Desirable: customer-facing experience with defence and public sector organisations
- Desirable: experience shaping commercial Responsible AI offerings, winning AI work, and wider pre-sales support
Benefits
Comp & perks- People-first culture
- Growth and professional development support
- Diversity, equity and inclusion commitment
- Recruitment accommodations and adjustments