At a Glance
- Tasks: Design and implement cutting-edge AI solutions that drive real business impact.
- Company: Join Capgemini Invent, a leader in tech transformation with a vibrant culture.
- Benefits: Enjoy flexible working, competitive salary, and a focus on employee wellbeing.
- Why this job: Be at the forefront of AI innovation and make a tangible difference in the world.
- Qualifications: Experience in AI/ML solutions and cloud platforms is essential.
- Other info: Collaborate with a diverse team passionate about technology and social impact.
The predicted salary is between 36000 - 60000 ÂŁ per year.
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
- Assess and implement robust MLOps framework, governance and best practices as per industry standards.
- Design and deliver end‑to‑end AI/ML systems, from data preparation and model development to deployment, feature stores, model management and monitoring.
- Deliver solutions using the latest Generative AI and Agentic Frameworks, such as ADK, Langgraph, Microsoft Agent Framework, Llamaindex and others.
- Translate AI use case requirements into data and AI architectures using the most suitable cloud services across hyperscalars.
- Architect and implement Generative AI solutions, including RAG pipelines, agentic workflows, and orchestration of large language models across Azure, GCP or AWS.
- Embed safety, evaluation, and assurance mechanisms across the AI lifecycle, ensuring solutions are ethical, explainable, and responsible.
- Translate business and functional requirements into technical blueprints and guide multi‑disciplinary teams to execute them.
- Collaborate with Product Managers, Data Scientists and Business stakeholders to ensure AI solutions drive business value and impact.
YOUR PROFILE
- Experience working in a major Consulting firm, and/or in industry but having a Consulting mindset with a proven ability to be successful in a matrixed organisation, and to enlist support and commitment from peers in selling and delivering solutions.
- Experience of working with client sponsors, both technical and non‑technical, to collaboratively design requirements and build out solutions.
- Experience of designing and implementing MLOPs strategy and framework and proven track record in designing and delivering AI/ML solutions at scale, from concept to production.
- Deep understanding of Generative AI and Agentic AI — RAG pipelines, embeddings, evaluation harnesses, and orchestration frameworks.
- Experience designing cloud‑native data and AI architectures across Azure, GCP, AWS and/or Databricks.
- The ability to demonstrate the potential that scaling AI unlocks business value and impact.
TECHNICAL EXPERTISE
- Experience with at least one major cloud platform: Azure (Foundry, AI Studio, OpenAI, AKS), GCP (Vertex AI, Cloud Run), AWS (Bedrock, SageMaker).
- Experience building and automating AI/ML pipelines using tools such as MLflow, Kubeflow, Azure ML, Vertex Pipelines, Airflow or Google ADK.
- Hands‑on experience with Generative and Agentic AI frameworks such as LangChain, LlamaIndex, CrewAI, Autogen, Google ADK, or similar.
- Ability to design and implement RAG pipelines, agentic workflows, MCP and integration with LLM APIs (OpenAI, Anthropic, Hugging Face OR similar).
- Proficiency in CI/CD and containerisation: GitHub Actions, Azure DevOps, Docker, Kubernetes.
NICE TO HAVES
- Familiarity with evaluating AI system performance, including prompt evaluation, A/B testing, and quality assessment frameworks.
- Understanding of modern data patterns: lakehouse architectures, vector databases, and relational/NoSQL stores.
- Familiarity with API gateways, event streaming and general integration patterns.
ELIGIBILITY
You need to have resided in the UK for the last 5 years to be able to apply for this role.
WHAT YOU’LL LOVE ABOUT WORKING HERE
We’re a fantastic team of bright, ambitious people who love bringing the latest tech to real clients in production to make a meaningful difference. We work across both the public and private sectors, and our impact is tangible because we innovate, we deploy, and you will see your work come to life in the real world. Technology moves fast, and so do we. We’re a group of true tech enthusiasts who push boundaries, experiment freely, and are trusted at Capgemini to explore what comes next. Our in‑house projects highlight what’s possible with the newest models and agentic frameworks, and we regularly showcase our work at major events and conferences – and then we bring it to our clients to bring it to life, completing the full innovation tech cycle.
NEED TO KNOW
We are delighted to have received the “Glassdoor Best Places to work UK’ accolade for 5 consecutive years. 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 see a healthy and happy workforce as 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. We have also invested in wellbeing apps such as Thrive and Peppy. We’re also focused on using tech to have a positive social impact. So, we’re working to reduce our own carbon footprint and improve everyone’s access to a digital world. It’s something we’re really serious about. In fact, we were even named as one of the world’s most ethical companies by the Ethisphere Institute for the 10th year. When you join Capgemini, you’ll join a team that does the right thing.
ABOUT CAPGEMINI
Capgemini is a global business and technology transformation partner, helping organisations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 350,000 team members in more than 50 countries. With its strong over 55‑year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end‑to‑end services and solutions leveraging strengths from strategy and design to engineering, all fuelled by its market‑leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
AI Engineering Consultant / Senior Consultant employer: Capgemini Invent
Contact Detail:
Capgemini Invent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineering Consultant / Senior Consultant
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI/ML projects, especially those involving Generative AI and MLOps. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions related to AI engineering and think about how you can demonstrate your problem-solving abilities.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive and engaged with our company.
We think you need these skills to ace AI Engineering Consultant / Senior Consultant
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI Engineering Consultant role. Highlight your experience with MLOps frameworks and Generative AI, as these are key aspects of the job. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background makes you a great fit for our team. Don’t forget to mention any relevant projects or achievements that showcase your expertise.
Showcase Your Technical Skills: Be sure to highlight your technical skills in your application. Mention your experience with cloud platforms like Azure, GCP, or AWS, and any tools you've used for building AI/ML pipelines. We love seeing hands-on experience!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing candidates who take the initiative to connect directly with us!
How to prepare for a job interview at Capgemini Invent
✨Know Your Tech Inside Out
Make sure you’re well-versed in the latest Generative AI and Agentic frameworks mentioned in the job description. Brush up on tools like Azure, GCP, and AWS, and be ready to discuss how you've used them in past projects.
✨Showcase Your Consulting Mindset
Capgemini values a consulting mindset, so prepare examples that highlight your ability to collaborate with both technical and non-technical stakeholders. Think about times when you’ve successfully designed requirements and built solutions together.
✨Demonstrate MLOps Expertise
Be ready to talk about your experience with MLOps strategies and frameworks. Prepare specific examples of how you’ve implemented these in previous roles, focusing on the end-to-end AI/ML systems you’ve delivered.
✨Emphasise Ethical AI Practices
Capgemini is committed to ethical AI solutions, so come prepared to discuss how you ensure safety, evaluation, and assurance mechanisms in your AI lifecycle. Share any experiences where you’ve prioritised explainability and responsibility in your projects.