**AWS AI Engineer** designs, deploys and maintains AI/ML solutions in the cloud for Capgemini's clients. Leveraging AWServices, this role integrates generative AI, knowledge retrieval, and automation. Key responsibilities include designing scalable data pipelines, ensuring AI solution resilience and optimization, and adhering to security, privacy and compliance principles. The ideal candidate possesses proven AI/ML experience, cloud delivery expertise, and strong problem-solving skills. Hybrid working model; must-have skills include proficiency in data preparation, AI lifecycle management, stakeholder management, and agile methodologies. Join a Great Place to Work for Wellbeing, learning opportunities, and being part of Ethisphere's World's Most Ethical Companies.
Compensation
Not specified
Currency: Not specified
City
Manchester
Country
United Kingdom
Full Job Description
About the Job you are considering:
Join Capgeminis Cloud & Custom Applications (C&CA) practice as an AWS AI Engineer, helping clients turn innovative ideas into scalable business outcomes. Working within C&CA, you will design and deliver AI-powered solutions that enable organisations to unlock value from data, accelerate decision-making, and build future-ready capabilities. Aligned to our vision of Consult with Purpose. Continuously Evolve. Architect Tomorrow., you will collaborate with multidisciplinary teams to bring intelligent solutions into production while promoting responsible AI adoption, operational excellence, and continuous improvement.
Hybrid working:
The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time.
Key Responsibilities:
Design, build, and deliver production-ready AI and machine learning solutions that create measurable business value.
Integrate generative AI capabilities, knowledge retrieval approaches, and intelligent automation into robust cloud-based services.
Develop scalable and secure data pipelines that enable reliable access to high-quality data for AI-driven outcomes.
Ensure AI solutions are resilient, maintainable, and aligned with business, operational, and user needs.
Automate delivery processes and establish effective operational practices that support reliability, scalability, and continuous improvement.
Monitor solution performance and proactively identify opportunities to improve accuracy, efficiency, and user experience.
Embed security, privacy, governance, and compliance principles throughout the solution lifecycle.
Collaborate with architects, engineers, data specialists, and stakeholders to shape solution direction and deliver successful outcomes.
Promote AI fluency and knowledge sharing across teams, contributing to the growth of a future-ready workforce.
Act as a trusted advisor, helping clients and colleagues understand the potential and responsible application of AI technologies.
Must-Have Skills
Proven experience designing, building, and deploying AI and machine learning solutions in enterprise environments.
Strong understanding of the end-to-end AI lifecycle, from data preparation through deployment, monitoring, and optimisation.
Experience delivering scalable cloud-based solutions and translating business requirements into technical outcomes.
Knowledge of generative AI concepts, large language models, retrieval-based approaches, and AI-powered business solutions.
Understanding of secure software engineering, data governance, privacy, and compliance best practices.
Strong problem-solving and analytical skills with the ability to balance innovation and practical delivery.
Excellent stakeholder management and communication skills, with the ability to explain complex concepts to diverse audiences.
Experience working within agile, collaborative, and multidisciplinary delivery teams.
Commitment to continuous learning, AI fluency, and helping build a future-ready workforce.
We are a Disability Confident Employer:
Capgemini is proud to be a Disability Confident Employer (Level 2) under the UK Governments Disability Confident scheme. As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who:
Declare they have a disability, and
Meet the minimum essential criteria for the role.
Please opt in during the application process.
Make It Real (what does it mean for you):
Youd be joining an accredited Great Place to work for Wellbeing in 2024. Employee wellbeing is vitally important to us as an organisation. We see a healthy and happy workforce a critical component for us to achieve our organisational ambitions.
To help support wellbeing we have trained ‘Mental Health Champions across each of our business areas, and we have invested in wellbeing apps such as Thrive and Peppy.
You will be empowered to explore, innovate, and progress. You will benefit from Capgeminis ‘learning for life mindset, meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard Manage Mentor, Cybersecurity qualifications and much more.
You will be joining one of the Worlds Most Ethical Companies®, as recognised by Ethisphere® for 13 consecutive years. We live our values by making ethical business choices every day. Working ethically is at the centre of our culture at Capgemini, meaning you will be helping to create a future we can all be proud of.
Why you should consider Capgemini:
Growing clients businesses while building a more sustainable, more inclusive future is a tough ask. When you join Capgemini, youll join a thriving company and become part of a collective of free-thinkers, entrepreneurs and industry experts. We find new ways technology can help us reimagine whats possible. Its why, together, we seek out opportunities that will transform the worlds leading businesses, and its how youll gain the experiences and connections you need to shape your future. By learning from each other every day, sharing knowledge, and always pushing yourself to do better, youll build the skills you want. Youll use your skills to help our clients leverage technology to innovate and grow their business. So, it might not always be easy, but making the world a better place rarely is.
About Capgemini:
Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organisations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2024 global revenues of €22.1 billion.
**AWS AI Engineer** designs, deploys and maintains AI/ML solutions in the cloud for Capgemini's clients. Leveraging AWServices, this role integrates generative AI, knowledge retrieval, and automation. Key responsibilities include designing scalable data pipelines, ensuring AI solution resilience and optimization, and adhering to security, privacy and compliance principles. The ideal candidate possesses proven AI/ML experience, cloud delivery expertise, and strong problem-solving skills. Hybrid working model; must-have skills include proficiency in data preparation, AI lifecycle management, stakeholder management, and agile methodologies. Join a Great Place to Work for Wellbeing, learning opportunities, and being part of Ethisphere's World's Most Ethical Companies.
Full Job Description
About the Job you are considering:
Join Capgeminis Cloud & Custom Applications (C&CA) practice as an AWS AI Engineer, helping clients turn innovative ideas into scalable business outcomes. Working within C&CA, you will design and deliver AI-powered solutions that enable organisations to unlock value from data, accelerate decision-making, and build future-ready capabilities. Aligned to our vision of Consult with Purpose. Continuously Evolve. Architect Tomorrow., you will collaborate with multidisciplinary teams to bring intelligent solutions into production while promoting responsible AI adoption, operational excellence, and continuous improvement.
Hybrid working:
The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time.
Key Responsibilities:
Design, build, and deliver production-ready AI and machine learning solutions that create measurable business value.
Integrate generative AI capabilities, knowledge retrieval approaches, and intelligent automation into robust cloud-based services.
Develop scalable and secure data pipelines that enable reliable access to high-quality data for AI-driven outcomes.
Ensure AI solutions are resilient, maintainable, and aligned with business, operational, and user needs.
Automate delivery processes and establish effective operational practices that support reliability, scalability, and continuous improvement.
Monitor solution performance and proactively identify opportunities to improve accuracy, efficiency, and user experience.
Embed security, privacy, governance, and compliance principles throughout the solution lifecycle.
Collaborate with architects, engineers, data specialists, and stakeholders to shape solution direction and deliver successful outcomes.
Promote AI fluency and knowledge sharing across teams, contributing to the growth of a future-ready workforce.
Act as a trusted advisor, helping clients and colleagues understand the potential and responsible application of AI technologies.
Must-Have Skills
Proven experience designing, building, and deploying AI and machine learning solutions in enterprise environments.
Strong understanding of the end-to-end AI lifecycle, from data preparation through deployment, monitoring, and optimisation.
Experience delivering scalable cloud-based solutions and translating business requirements into technical outcomes.
Knowledge of generative AI concepts, large language models, retrieval-based approaches, and AI-powered business solutions.
Understanding of secure software engineering, data governance, privacy, and compliance best practices.
Strong problem-solving and analytical skills with the ability to balance innovation and practical delivery.
Excellent stakeholder management and communication skills, with the ability to explain complex concepts to diverse audiences.
Experience working within agile, collaborative, and multidisciplinary delivery teams.
Commitment to continuous learning, AI fluency, and helping build a future-ready workforce.
We are a Disability Confident Employer:
Capgemini is proud to be a Disability Confident Employer (Level 2) under the UK Governments Disability Confident scheme. As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who:
Declare they have a disability, and
Meet the minimum essential criteria for the role.
Please opt in during the application process.
Make It Real (what does it mean for you):
Youd be joining an accredited Great Place to work for Wellbeing in 2024. Employee wellbeing is vitally important to us as an organisation. We see a healthy and happy workforce a critical component for us to achieve our organisational ambitions.
To help support wellbeing we have trained ‘Mental Health Champions across each of our business areas, and we have invested in wellbeing apps such as Thrive and Peppy.
You will be empowered to explore, innovate, and progress. You will benefit from Capgeminis ‘learning for life mindset, meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard Manage Mentor, Cybersecurity qualifications and much more.
You will be joining one of the Worlds Most Ethical Companies®, as recognised by Ethisphere® for 13 consecutive years. We live our values by making ethical business choices every day. Working ethically is at the centre of our culture at Capgemini, meaning you will be helping to create a future we can all be proud of.
Why you should consider Capgemini:
Growing clients businesses while building a more sustainable, more inclusive future is a tough ask. When you join Capgemini, youll join a thriving company and become part of a collective of free-thinkers, entrepreneurs and industry experts. We find new ways technology can help us reimagine whats possible. Its why, together, we seek out opportunities that will transform the worlds leading businesses, and its how youll gain the experiences and connections you need to shape your future. By learning from each other every day, sharing knowledge, and always pushing yourself to do better, youll build the skills you want. Youll use your skills to help our clients leverage technology to innovate and grow their business. So, it might not always be easy, but making the world a better place rarely is.
About Capgemini:
Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organisations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2024 global revenues of €22.1 billion.
