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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Gen AI Engineer - **Company:** Capgemini - **Location:** London, UK (Remote available) - **Experience:** Expert - **Salary:** £53,528.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Automated Storage and Retrieval Systems, Audit Trail, Microsoft Azure, Cloud Engineering, Continuous Integration, Information Engineering, Data Governance, Data Systems, Distributed Computing Environment, Fraud Prevention and Detection, Monitoring of Systems, Information Extraction, Python (Programming Language), Machine Learning, Scrum Methodology, Cloud Services, SQL Databases, Cloud Platform System, Retrieval-Augmented Generation, Large Language Models, Snowflake, Apache Spark, Generative AI, AI Platforms, Pyspark, Machine Learning Operations, Virtual Agents, Data Pipelines, Serverless Computing, Databricks, Microservices - **Published:** September 30, 2026 - **Apply:** https://www.adzuna.co.uk/jobs/details/5902950265 ## About the Role * 7+ years of experience in Data Engineering, AI Engineering, or Machine Learning platforms. * Strong expertise in Python, SQL, GenAI frameworks, cloud platforms, and distributed data processing. * Proven experience delivering AI/Data solutions within Banking, Capital Markets, Insurance, FinTech, or regulated financial environments. * Experience leading teams, mentoring engineers, and driving enterprise-scale technology initiatives., * Strong problem-solving, analytical, and troubleshooting capabilities. * Ability to translate complex business requirements into scalable data and AI solutions. * Excellent communication, presentation, and stakeholder management skills across business and technology teams. * Experience collaborating in Agile/Scrum delivery environments. * Strong understanding of Generative AI, LLMs, RAG architectures, embeddings, and vector databases. * Hands-on expertise in Python, SQL, Spark/PySpark, Databricks, and cloud-native data platforms. * Experience building and deploying APIs, microservices, and cloud-based AI applications. * Knowledge of MLOps, CI/CD, model monitoring, governance, and Responsible AI practices. * Understanding of financial services processes, regulatory requirements, and data privacy frameworks. * Experience mentoring engineers, leading technical initiatives, and driving best practices across teams. 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. ## Description We are seeking a Generative AI Engineer with strong experience in financial services (banking, capital markets, insurance, or fintech) to design, build, and scale GenAI-powered data solutions. The role combines modern data engineering, ML/LLM integration, and domain-specific financial knowledge to deliver enterprise-grade AI platforms. You will lead the development of data pipelines, vector databases, retrieval systems, and LLM-driven applications to solve use cases such as risk analytics, fraud detection, regulatory compliance, document intelligence, and customer insights 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., * Design, develop, and deploy end-to-end Generative AI solutions using LLMs, RAG architectures, and vector databases. * Build and optimize AI-driven applications for document intelligence, compliance automation, and conversational banking solutions. * Develop scalable data pipelines and lakehouse architectures using Databricks, Spark, Snowflake, and cloud-native services. * Integrate structured and unstructured data sources to support advanced analytics and AI use cases. * Deploy, monitor, and manage AI/ML solutions on Azure, AWS, or GCP using MLOps best practices. * Implement CI/CD pipelines, model governance, monitoring, and lifecycle management for AI systems. * Collaborate with business and technology stakeholders to deliver solutions across risk, compliance, trading, fraud detection, and portfolio analytics. * Ensure adherence to regulatory, data privacy, and security standards including GDPR, AML, KYC, and financial services governance requirements. * Establish data governance, lineage, quality, and Responsible AI frameworks covering explainability, bias mitigation, and auditability. * Build and maintain APIs, microservices, and cloud-native platforms supporting enterprise AI applications. * Drive technical architecture decisions, mentor engineering teams, and promote engineering best practices. * Evaluate emerging AI technologies and recommend innovative solutions to enhance business outcomes in financial services. ## Related Videos - [Beyond GPT: Building Unified GenAI Platforms for the Enterprise of Tomorrow](https://www.wearedevelopers.com/videos/1525-beyond-gpt-building-unified-genai-platforms-for-the-enterprise-of-tomorrow) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Fully Orchestrating Databricks from Airflow](https://www.wearedevelopers.com/videos/336-fully-orchestrating-databricks-from-airflow) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [Hacking AI at the Edge of the Indian Ocean](https://www.wearedevelopers.com/videos/100177-hacking-ai-at-the-edge-of-the-indian-ocean) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Got AI ideas but no money? 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