AI Platform & Site Reliability Engineering Consultant/Senior Consultant – Cloud Operating Model

AI Platform & Site Reliability Engineering Consultant/Senior Consultant – Cloud Operating Model Overview

This role sits within Capgemini Invent’s Cloud Advisory capability and is focused on helping clients reshape how they operate in the cloud. It is a high-impact consulting position for someone who wants to work on cloud operating model transformation in a way that is automation-led, AI-ready, and grounded in practical delivery. The work combines technology, service management, and organizational change, with a strong emphasis on helping clients achieve real business outcomes from cloud adoption. A particular focus of the role is how generative AI, agentic workflows, and intelligent automation are changing the way organizations run cloud services and operations.

What you will do

• Advise clients on the operational and organizational implications of cloud transformation, helping them build digitally enabled business models supported by cloud and data-driven operating models that are ready for AI.
• Review existing cloud operating models and service structures, identifying opportunities to improve standardisation, automation, data quality, and readiness for AI-enabled operations.
• Turn assessment findings into future-state operating models, service management processes, and organizational designs that are practical, measurable, and aligned to automation-first and AI-ready principles.
• Design target cloud operating models, governance approaches, service management frameworks, and organizational structures that reflect the client’s cloud maturity and strategic direction.
• Define future-state processes across service delivery, governance, and operational workflows so that the design is workable in practice and supports measurable improvement.
• Monitor the maturity and effectiveness of cloud operating model change, using operational data, service data, and performance insights to recommend improvements.
• Help introduce intelligent monitoring, service analytics, and AIOps-style practices where they are relevant to the client environment.
• Apply strategy development, service management, agile delivery, DevOps, business process mapping, and organizational design skills to deliver business outcomes through cloud transformation.
• Support the adoption of automation, intelligent workflows, and AI-assisted operations within wider cloud programmes.
• Work collaboratively across all levels of the client organization to design, innovate, and implement cloud transformation initiatives.
• Advise clients on practical applications of large language models, copilot tools, and agentic AI within cloud operating models, including use cases such as service automation, intelligent triage, and AI-supported decision-making.
• Help clients understand AI governance considerations, including the importance of data quality and transparency.
• Contribute to business development through proposals, RFPs, bids, proposition development, and support for client pitches and events.
• Take part in internal practice-building work such as campaign development, think tanks, whitepapers, recruitment, team activities, and offering development.
• Support your own development and the firm’s capability growth through training, certifications, and learning opportunities.

What the team is looking for

• Experience helping organizations transform through technology and change the way they operate.
• Confidence working in a technology-led environment.
• Practical knowledge of ITIL v4 and/or v5 best practices, especially incident, change, problem, and service desk management, together with curiosity about how these processes evolve through automation and AI-enabled tooling.
• ITIL v4 and/or v5 Foundation certification, or a higher-level ITIL qualification, would be especially valuable.
• Hands-on familiarity with generative AI tools and platforms, and an understanding of how they fit into cloud operating models and ITSM workflows.
• Interest in agentic AI patterns and how autonomous agents are beginning to reshape IT operations and service delivery.
• Experience with DevOps practices, including continuous integration, continuous delivery, automated testing, infrastructure as code, and modern delivery pipelines.
• Ability to manage and architect solutions on major cloud platforms such as AWS, Azure, or Google Cloud, including compute, storage, networking, and security services.
• Knowledge of cloud security best practice and compliance requirements so that cloud environments and automated services are secure, resilient, and aligned to standards and regulations.
• Current experience in a major consulting firm, or industry experience supported by a consulting background.
• Proven ability to succeed in a matrixed organization and gain support from peers when selling and delivering consulting solutions.
• Experience creating propositions and delivering them to clients.
• Clear curiosity and continuous learning in the AI space, demonstrated through certifications, personal projects, published thinking, community participation, or internal practice contributions.
• Ability to support business development by drawing on existing relationships, wider company relationships, and your own network.
• The role is aimed at experienced professionals and is offered at Consultant or Senior Consultant level.

Why this opportunity stands out

Client engagements offer the chance to work closely with leadership and experienced consulting managers, giving you the opportunity to learn from them, challenge ideas, and accelerate your own delivery capability and industry understanding. You will gain exposure to how compelling client propositions are created, how major transformation programmes are structured and led, and how leading technologies are taken from an initial concept through to strategy and then execution.

Consultants receive formal training from industry experts in management consulting and client delivery. The firm also provides learning and certification opportunities through internal and partner-led programmes with AWS, Google, ServiceNow, and Microsoft.

Capgemini Invent’s Les Fontaines training environment near Paris provides a setting for thought leadership, knowledge sharing, and capability building. The business also runs monthly showcases of digital transformation initiatives, giving teams the chance to share knowledge and see how technology is affecting clients. In addition, there are regular social opportunities such as monthly team drinks, leadership connect sessions in the office, and team away days that combine connection, fun, and learning.

Working environment and culture

Capgemini says inclusion is not just a principle but something it actively works to make real. Through its Inclusive Futures for All campaign and core values, it aims to create an environment where people can bring their whole selves to work. The organization also places strong emphasis on work-life balance and has built hybrid working into the way it operates, with flexible working arrangements available to all UK employees.

Employee wellbeing is described as a major priority. Support includes trained Mental Health Champions across business areas, along with wellbeing apps such as Thrive and Peppy.

The wider company is presented as a global business and technology transformation partner helping organizations move toward a digital and sustainable future. It is described as a diverse group of 340,000 people across more than 50 countries, with a long heritage and strong capabilities in AI, cloud, and data, supported by deep industry expertise and a broad partner ecosystem.

Additional information

Capgemini is a Disability Confident Employer at Level 2 under the UK Government scheme. As part of its inclusive recruitment approach, it will offer an interview to candidates who declare a disability and meet the minimum essential criteria for the role, provided they opt in during the application process.

The posting lists the role as permanent and identifies the location as London, Glasgow, or Manchester in the UK. The experience level is shown as experienced professional. The reference code is 545399 and the posting date is 28 August 2026.

Applications can be started through the job posting, including the option to apply directly or begin the process using LinkedIn.

Degree Requirement: Not Specified

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