How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Job Title: Solution Architect – Core Banking
Location: London
About the Job you are considering:
Knowledge & Data Platform Lead (Principal)
Graph engineering, RAG optimisation, context engineering, and knowledge management for AI systems.
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.
Job Role
- Led the design and implementation of an enterprise knowledge platform that enabled AI agents across Insurance, Payments, and Healthcare domains.
- Owned the architecture and governance of enterprise knowledge graphs, including ontology design, semantic modeling, and graph-based retrieval capabilities.
- Developed and optimized end-to-end RAG and Graph RAG solutions to improve response accuracy, grounding, and contextual relevance.
- Established context engineering standards by defining how knowledge, instructions, and business rules are selected and structured within AI agent contexts.
- Managed the complete AI knowledge lifecycle, including ingestion, curation, versioning, provenance tracking, freshness monitoring, and deprecation of knowledge assets.
- Designed and governed agent memory frameworks to support episodic, semantic, and precedent-based knowledge retrieval.
- Implemented permission-aware retrieval systems with document-level security, identity propagation, multi-tenant isolation, and comprehensive audit trails.
- Built evaluation frameworks and automated testing pipelines to measure retrieval effectiveness, grounding quality, relevance, and knowledge freshness.
- Created data flywheel processes that transformed operational and domain data into high-quality training and evaluation datasets for AI models.
- Collaborated with product, engineering, security, and governance teams to deliver scalable, compliant, and trustworthy AI solutions.
- Defined platform standards, reusable architectures, and best practices adopted across multiple AI-powered product lines.
- Ensured compliance with regulatory, privacy, and security requirements within highly regulated financial and healthcare environments.
Key Skills
- Expertise in designing and implementing enterprise knowledge graphs, ontologies, and semantic data models.
- Strong experience in Retrieval-Augmented Generation (RAG), GraphRAG, hybrid search, and semantic retrieval architectures.
- Proficiency in vector databases, embedding technologies, reranking models, and retrieval optimization techniques.
- Extensive knowledge of context engineering, prompt orchestration, and token budget optimization for AI agents.
- Experience building and managing AI knowledge management platforms with strong governance and audit capabilities.
- Strong understanding of agentic AI architectures, multi-agent systems, and long-term memory frameworks.
- Expertise in metadata management, data lineage, provenance tracking, and knowledge lifecycle governance.
- Hands-on experience with graph databases such as Neo4j, Amazon Neptune, TigerGraph, and ArangoDB.
- Proficiency in Azure AI Search, Elasticsearch, Pinecone, Weaviate, Qdrant, and related retrieval technologies.
- Strong programming and data engineering skills using Python and modern data processing frameworks.
- Experience building scalable ETL/ELT pipelines and distributed data processing solutions.
- Knowledge of LLMOps, MLOps, AI evaluation frameworks, and model fine-tuning techniques.
- Expertise in implementing RBAC, ABAC, multi-tenant security models, and identity-aware retrieval systems.
- Strong understanding of compliance, data privacy, auditability, and governance requirements in regulated industries.
- Experience with cloud-native architectures using Azure, AWS, Kubernetes, Docker, and CI/CD pipelines.
- Proven ability to lead platform strategy, enterprise architecture initiatives, and cross-functional engineering teams.
- Excellent stakeholder management, communication, and technology leadership skills.
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
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.
Make It Real (what does it mean for you):
- You’d 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 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, 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 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.
- You will be joining one of the World’s 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.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
Why you should consider Capgemini:
Growing clients’ businesses while building a more sustainable, more inclusive future is a tough ask. When you join Capgemini, you’ll 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 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. You’ll 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.
Make it real | www.capgemini.com
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
Location