AI Platform Engineer- Senior Consultant-AI and Digital Factory

Role Details Sbu

• Invent CU
• Business Technology Global Grade
• C 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.

Your Role

Our AI Platform Engineering Senior Consultants sit within AI & Digital Factory, part of the Business Technology practice in Capgemini Invent, which leads digital transformation projects across Capgemini. We are a dynamic community that values innovation, professional development, and the ability to make a real difference for our clients. As an AI Platform Engineer, you’ll design, build, and operate the infrastructure that enterprise AI and Generative AI workloads run on: the platform layer beneath LLMs, agents, and MLOps pipelines. This spans GPU-accelerated compute and container platforms, model serving and gateway infrastructure, evaluation and guardrail systems, and the MLOps/LLMOps tooling that takes a model from experiment to production. You’ll work across hybrid and multi-cloud environments, helping clients modernize their AI infrastructure and adopt AI safely and at scale. As part of your role, you will: • Be a senior or lead engineer on client AI platform engagements • Architect and deploy AI-ready infrastructure (GPU-accelerated compute, Kubernetes/OpenShift, and cloud-native services) across cloud, on-premises, and hybrid environments • Build and operate core AI platform components: model serving and gateway infrastructure, agent orchestration and tool-calling frameworks, evaluation harnesses, and guardrail/governance layers • Implement MLOps and LLMOps pipelines (model deployment, monitoring, retraining, and fine-tuning where relevant) using Infrastructure-as-Code, GitOps, and CI/CD • Establish observability, security, and governance frameworks specific to AI systems, including cost attribution and lifecycle management • Work with clients and internal teams to develop new opportunities and shape a strong AI platform engineering culture • Lead client workshops, architecture reviews, and technical briefings; provide operational support including monitoring and troubleshooting • Share your knowledge and experience with colleagues as you coach and mentor them, while developing your own skills by experimenting with and learning new technologies As part of your role you will also have the opportunity to contribute to the business and your own personal growth, through activities that form part of the following categories: Leadership People/line manager, stakeholder management and communication, recruitment, etc. Help to shape the AI Platform Engineering offering. Business Development Leading/contributing to proposals, RFPs, bids, proposition development, client pitch contribution, client hosting at events. Internal contribution Internal projects, campaign development, internal think-tanks, whitepapers, practice development (operations, recruitment, team events & activities), offering development. Learning & development Training to support your career development and the skills demand within the company, certifications etc.

Your Profile

To be considered for this position you must hold active SC (Security Check) Clearance, or be eligible and willing to gain this level of clearance. You’ll bring deep, hands-on experience in most of the areas below, with strong depth in AI/GenAI platform engineering specifically. You don’t need to tick every box. AI & GenAI Platform Engineering • Model serving and gateway infrastructure (e.g. vLLM, LiteLLM, managed endpoints), with routing, failover, and per-workload cost attribution • Agent orchestration and tool-calling frameworks (e.g. LangGraph or equivalent), including familiarity with the Model Context Protocol (MCP) • Evaluation engineering (golden datasets, regression gates in CI, LLM-judge calibration) • Guardrail and AI-observability tooling (e.g. NeMo Guardrails, OpenTelemetry GenAI conventions, LangSmith, Braintrust) MLOps & LLMOps • Hands-on with MLOps platforms (Azure ML, Databricks, SageMaker) and vector/retrieval databases (Pinecone, Milvus, pgvector) • Experience with GPU-accelerated infrastructure and

Nvidia AI

Enterprise or equivalent stacks • Exposure to fine-tuning, RLHF, or SLM distillation is a strong plus Cloud-Native & Infrastructure • Deep expertise in Kubernetes and container platforms (OpenShift, AKS, EKS, GKE, or VMware Tanzu) • Infrastructure as Code and DevOps practices (Terraform, Bicep, Ansible, GitOps and CI/CD pipelines) • 5+ years’ experience across Azure, AWS, or GCP; strong DevOps fundamentals Consulting & Delivery • Proven experience in DevOps processes and best practices, applied in a client-facing consulting context • Ability to lead architecture reviews, workshops, and executive briefings • Strong soft skills key to consulting: time and risk management, problem solving, leading with empathy • Ability to converse with both internal and external stakeholders, always holding the appropriate level of conversation General • Strong scripting ability (Python plus one systems language such as Go or Rust, or Bash) • Experience with financial services, insurance, or other regulated-industry engineering is a strong plus, given the compliance demands of AI in these sectors • Experience using version control software (Git, GitHub, GitLab) What You’ll Love About Working Here We are delighted to have received the ‘Glassdoor Best Places to work in the UK’ accolade for 4 consecutive years. Capgemini Invent offers Consultants a culture of learning, ownership, and focus on value. • You’ll gain exposure to high-profile transformations and hands-on exposure to leading AI technologies • Formal training by industry experts, with access to certifications across cloud (AWS, Azure, GCP), AI/ML, and Agile delivery (Scrum Master, Product Owner, SAFe) • Les Fontaines — our unique training environment just outside of Paris, for thought-leadership and capability building • Monthly showcases of our digital transformation initiatives, plus monthly team drinks, breakfasts, and away days

Need to Know

At Capgemini we don’t just believe in Diversity & Inclusion, we actively go out to making it a working reality. Driven by our core values and Active Inclusion Campaign, we build environments where you can bring your whole self to work. We aim to build an environment where employees can enjoy a positive work-life balance. We embed hybrid working in all that we do and make flexible working arrangements the day-to-day reality for our people. All UK employees are eligible to request flexible working arrangements. Employee wellbeing is vitally important to us as an organisation. We have trained ‘Mental Health Champions’ across each of our business areas, and have invested in wellbeing apps such as Thrive and Peppy. We Are a Disability Confident Employer Capgemini is proud to be a Disability Confident Employer (Level 2) under the UK Government’s 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. CSR We’re also focused on using tech to have a positive social impact — working to reduce our own carbon footprint and improve everyone’s access to a digital world. We were named one