Vertex AI Solution Architect

We work with our clients to fully exploit their data using the power of AI & Analytics to deliver real business value at scale across the organisation. We have a track record of success across a wide range of public and private sector clients with whom we have built long-standing relationships of trust and collaboration.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.If you are offered this position, you will go through a series of pre-employment checks, including:

Applying for this role is straight forward Scroll down and click on Apply to be considered for this position.identity, nationality (single or dual) or immigration status, 3 continuous years employment history, and unspent criminal record check (known as Disclosure and Barring Service).Your Role

We are looking for an exceptional individual with a proven track record in designing, implementing, and deploying AI/ML solutions using the Google Cloud Platform (GCP), specifically Vertex AI. The ideal candidate should be able to demonstrate thought leadership and deep technical expertise in areas such as machine learning, GenAI and data science, combined with solid solution architecture and software engineering experience, who can define our go-to-market strategy to drive growth in our already successful analytics capability.You will work closely with clients to understand their business needs, translate them into technical requirements, and design robust, scalable, and secure AI solutions on Vertex AI. You will also publish internal and public whitepapers and represent Capgemini at conferences to showcase our capabilities and awareness of the current state-of-the-art in AI & Analytics.

Your skills and experience

We are looking for talented and motivated individuals with many but not necessarily all the following skills and experience:Strong understanding of core Google Cloud products such as Big Query, Dataplex, Pub/Sub etc and how they should be combined to build a strong, unified foundation for Data and AI.An understanding of the various methods of building and deploying ML capability across an enterprise in Google Cloud (e.g. AutoML, BigQueryML, pre-trained APIs etc.) and the ability to articulate the pro’s / con’s of each approach.Experience designing, building, and managing MLOps workflows using Vertex AI Pipelines or similar tools.Experience leveraging and customizing large language models (LLMs) within Vertex AI, using native Google Cloud models such as Gemini in addition to those available in the Model Garden.Expertise in deploying models to Vertex AI endpoints, managing model versions, and implementing model monitoring and retraining strategies.An awareness of current Google Cloud product trends in areas such as Agentic AI and Search (e.g. Vertex AI Agent Builder, AI Search and Google Agent Space).Your security clearance

To be successfully appointed to this role, it is a requirement to obtain Security Check (SC) clearance.

To obtain SC clearance, the successful applicant must have resided continuously within the United Kingdom for the last 5 years, along with other criteria and requirements.

Throughout the recruitment process, you will be asked questions about your security clearance eligibility such as, but not limited to, country of residence and nationality.

Some posts are restricted to sole UK Nationals for security reasons; therefore, you may be asked about your citizenship in the application process.What does ‘Get The Future You Want ‘ mean for you?

You will be encouraged to have a positive work-life balance. Our hybrid-first way of working means 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.

You will be empowered to explore, innovate, and progress. You will benefit from Capgemini’s ‘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 ManageMentor, Cybersecurity qualifications and much more.Why You Should Consider Capgemini

Growing clients’ businesses while building a more sustainable, more inclusive future is a tough ask. But when you join Capgemini, you join a thriving company and become part of a diverse collective of free-thinkers, entrepreneurs and industry experts. A powerful source of energy that drives us all to find new ways technology can help us reimagine what’s possible. It’s why, together, we seek out opportunities that will transform the world’s leading businesses. And it’s how you’ll 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, you’ll build the skills you want. And you’ll use them to help our clients leverage technology to grow their business and give innovation that human touch the world needs. So, it might not always be easy, but making the world a better place rarely is.About Capgemini

Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organisation of over 360,000 team members in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fuelled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group reported 2023 global revenues of €22.5 billion.When you join Capgemini, you don’t just start a new job. You become part of something bigger.

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