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

Capgemini

Glasgow

Hybrid

GBP 75,000 - 110,000

Full time

14 days+

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Benefits offered by this job

Professional development
Training environments
Flexible working
Team events

Job summary

Capgemini in Glasgow seeks an AI Platform & Site Reliability Engineering Consultant/Senior Consultant focused on Cloud Operating Model Transformation. You will help design, assess and evolve cloud operating models that prioritise automation and AI readiness.

Key responsibilities include advising on cloud transformations, conducting assessments, designing target models, and applying AI governance. The role requires consulting experience and strong DevOps and cloud platform knowledge.

Qualifications

  • Experience transforming businesses through technology and operational processes.
  • Proven ITIL V4/V5 practices (incident, change and problem management).
  • ITIL V4/V5 certification is highly valued.
  • Familiarity with GenAI tooling and integration into cloud operating models.
  • Interest in agentic AI patterns and their impact on IT operations.
  • Experience with DevOps, including CI/CD, automated testing, and infrastructure as code.
  • Proficiency in managing solutions on major cloud platforms (AWS, Azure, Google Cloud).
  • Knowledge of cloud security best practices and compliance requirements.
  • Background in consulting or experience in a major consulting firm.
  • Demonstrated curiosity and continuous learning in the AI field.

Responsibilities

  • Provide advisory services on the operational and organizational impacts of cloud transformation, helping clients develop AI-ready business models.
  • Conduct assessments and audits of existing cloud operating models, identifying areas for improvement and translating findings into future-state designs.
  • Design target cloud operating models and service management frameworks that align with clients’ strategic ambitions and cloud maturity.
  • Monitor and evaluate the effectiveness of cloud operating model transformations, using operational metrics to recommend improvements.
  • Utilize skills in strategy development, service management, and agile delivery to achieve digitally enabled business outcomes.
  • Collaborate with various organizational levels to innovate and implement cloud transformations, contributing to the consulting practice’s growth.
  • Advise clients on the practical application of large language models and agentic AI within cloud operating models.
  • Support clients in understanding AI governance considerations, including data quality and transparency.

Skills

ITIL V4/V5
GenAI tooling
DevOps (CI/CD)
Cloud platforms (AWS/Azure/GCP)
AI governance
Matrixed consulting environment
Business development
Security basics

Tools

AWS
Azure
Google Cloud

Job description

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

Company Name: Capgemini

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

Qualifications: Not Specified

Category: IT Jobs

Job Type: Full Time

Location: Glasgow

In this high-impact role within the Cloud Advisory capability unit, you will contribute to Capgemini’s leadership in cloud transformation across various industries. As a Consultant/Senior Consultant focused on Cloud Operating Model Transformation, your primary responsibility will be to assist clients in designing, assessing, and evolving cloud operating models that prioritize automation and are ready for AI integration.

Key Responsibilities
  • Provide advisory services on the operational and organizational impacts of cloud transformation, helping clients develop AI-ready business models.
  • Conduct assessments and audits of existing cloud operating models, identifying areas for improvement and translating findings into future-state designs.
  • Design target cloud operating models and service management frameworks that align with clients’ strategic ambitions and cloud maturity.
  • Monitor and evaluate the effectiveness of cloud operating model transformations, using operational metrics to recommend improvements.
  • Utilize skills in strategy development, service management, and agile delivery to achieve digitally enabled business outcomes.
  • Collaborate with various organizational levels to innovate and implement cloud transformations, contributing to the consulting practice’s growth.
  • Advise clients on the practical application of large language models and agentic AI within cloud operating models.
  • Support clients in understanding AI governance considerations, including data quality and transparency.
Requirements
  • Experience in transforming businesses through technology and redefining operational processes.
  • Proven skills in ITIL V4 and/or V5 best practices, including incident, change, and problem management.
  • Certification in ITIL V4 and/or V5 is highly valued.
  • Familiarity with GenAI tooling and platforms, and their integration into cloud operating models.
  • Interest in agentic AI patterns and their impact on IT operations.
  • Experience with DevOps principles, including CI/CD, automated testing, and infrastructure as code.
  • Proficiency in managing solutions on major cloud platforms like AWS, Azure, or Google Cloud.
  • Knowledge of cloud security best practices and compliance requirements.
  • Background in consulting or experience in a major consulting firm.
  • Ability to succeed in a matrixed organization and engage peers in delivering consulting solutions.
  • Demonstrated curiosity and continuous learning in the AI field through certifications or personal projects.
  • Experience in business development and leveraging existing relationships for client engagement.
Benefits
  • Opportunities for professional development through training and certifications from industry leaders.
  • Access to a unique training environment at Les Fontaines, near Paris, for immersive learning experiences.
  • Monthly showcases of digital transformation initiatives to share knowledge and insights.
  • Social events such as team drinks and leadership connect sessions to foster team bonding.
  • Flexible working arrangements to support work-life balance and employee wellbeing.

Degree Requirement: Not Specified

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