19 hours ago
Manchester, United Kingdom +2 moreSenior
Responsibilities
- Architect and deliver scalable, secure, cost-efficient data, analytics, and AI ecosystems across AWS, Azure, and GCP.
- Modernize legacy systems into AI-native, agent-enabled architectures using hybrid data platforms and real-time decisioning.
- Develop proofs of concept and MVPs incorporating autonomous agents, advanced analytics, and AI capabilities.
- Build and orchestrate self-optimizing data pipelines, infrastructure, and deployments using DevOps, CI/CD, Infrastructure-as-Code, and AI-assisted automation.
- Define AI-first enterprise data strategies, governance models, and architecture roadmaps.
- Embed responsible AI, security, compliance, identity, access, encryption, and data-protection frameworks.
- Communicate complex technical ideas to stakeholders and support consulting, proposals, commercial scoping, and client engagements.
- Drive internal innovation, thought leadership, agentic AI experimentation, and practice development.
Requirements
- Extensive experience in cloud architecture across AWS, Azure, and GCP, including hybrid and multi-cloud environments.
- Expertise in cloud-native technologies including containers, Kubernetes, and serverless architectures.
- Experience with Infrastructure-as-Code and CI/CD automation.
- Proven consulting and stakeholder-management capabilities.
- Strong analytical and problem-solving skills and the ability to communicate complex ideas clearly.
- Solid understanding of data and AI technologies with interest in emerging technologies.
- Experience in UK Public Sector, BFSI, Telecom, or Retail is desirable.
- Cloud certifications, cost-optimization knowledge, Agile delivery experience, commercial or project-scoping involvement, and security-clearance eligibility are desirable.
- SC Eligible.
Benefits
- Hybrid working and flexible working arrangements are available to UK employees.
- Mentorship from leading experts in data and AI and opportunities to shape a career path.
- Opportunities to experiment, innovate, develop AI and agent-framework skills, and pursue certifications.
- Employee wellbeing support including Mental Health Champions and Thrive and Peppy wellbeing apps.
- Inclusive workplace focused on work-life balance and career development.
Tech Stack
Categories
Solutions Engineering
About Capgemini
Capgemini is a global IT services and consulting firm that delivers strategy, cloud, AI, software engineering, and managed services to large enterprises and public-sector clients. Founded in 1967 and headquartered in Paris, it is publicly traded on Euronext Paris and operates in 50+ countries. The group expanded its engineering capabilities by acquiring Altran in 2020, now operating as Capgemini Engineering.