AI Assurance - Senior Consultant

CAPGEMINI INVENT

At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose.

Join our AI Strategy team and be part of the future of AI consulting. We are redefining how organisations adopt and scale AI by embedding Generative AI, agentic systems, and copilots into every aspect of how they operate, compete, and create value.

We are looking for experienced Strategy and AI leaders with strong commercial acumen, individuals who understand AI technologies and can translate them into enterprise-wide transformation. You will lead engagements from strategy through to execution, enabling the shift toward AI-enabled enterprises whilst contributing to the growth of our AI Strategy practice.

This role sits at the intersection of strategy, innovation, and delivery, perfect for someone who thrives on solving complex problems. From Agentic AI in risk governance, to AI sovereignty in enterprise architecture, to enabling the AI-empowered workforce of tomorrow, you'll be working at the cutting edge of what's next.

WE REDEFINE AI ASSURANCE
- You will design, implement, and continuously enhance AI assurance frameworks that address AI-specific risks across the lifecycle, including fairness, safety, transparency, explainability, privacy, security, robustness, accountability, and regulatory compliance.

WE PINPOINT AI RISK
- You will lead and support AI risk, impact, and control assessments, ensuring AI systems are evaluated for business, operational, ethical, legal, regulatory, and societal risks, particularly in high-risk or regulated environments.

WE EMBED AI RISK MANAGEMENT
- You will integrate AI risk management and assurance activities throughout the end-to-end AI lifecycle (1st line of assurance), from use case selection and design through development, testing, deployment, monitoring, change management, and retirement.

WE BUILD TRUSTED AI
- You will work closely with product, engineering, data science, security, privacy, legal, and compliance teams to ensure AI solutions are designed, developed, and operated in accordance with organisational risk appetite and regulatory expectations, incorporating appropriate controls throughout the AI lifecycle.

WE ENSURE AI PERFORMANCE
- You will define requirements for ongoing monitoring, performance validation, drift detection, incident management, and post-deployment assurance activities to ensure AI systems remain effective, safe, and compliant over time.

As a member of the Data & AI Strategy Team you'll be part of the future of AI consulting. We look for individuals who align with our core values, are creative problem solvers, and have a genuine interest in AI and emerging technologies. You'll be passionate about helping organisations unlock the potential of AI not just through technical delivery, but by driving strategic change.

Below some of the key skills and experiences we look for in candidates. We don't expect you to hit every point- we want to build a team which has diverse backgrounds, perspectives and strengths.

• AI Risk Management & Assurance
  - Demonstrable experience assessing, managing and assuring risks associated with AI systems, including model performance, transparency, explainability, accountability, privacy, security and regulatory compliance
• AI Governance & Lifecycle Management
  - Experience embedding governance, risk management and assurance activities across the end-to-end AI lifecycle, from use case selection and design through deployment, monitoring, change management and retirement
• Risk & Control Assessments
  - Proven ability to conduct AI risk assessments, impact assessments, control evaluations and assurance reviews, particularly within regulated or high-risk environments
• Stakeholder Management & Communication
  - Ability to translate complex technical and regulatory concepts into practical, risk-based recommendations and communicate effectively with technical, operational and executive stakeholders
• AI Monitoring & Observability
  - Strong knowledge of AI monitoring, observability, performance validation, drift detection, incident management and post-deployment assurance practices, including relevant tooling and best practice

• Working across diverse industries, including public sector (e.g. Central Government and Defence) and private industries such (e.g. Manufacturing, Automotive, Life Sciences, Consumer Products & Retail and Financial Services)
• Influencing cross-functional teams and balancing innovation objectives with risk management requirements
• Assessing and managing risks associated with AI systems, including model development and performance,…