Gen AI Engineer

Job Title:Gen AI Engineer

Location: London

About the Job you are considering:

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.

Key Responsibilities:

• 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.

Ideal Candidate Profile

• 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.

Required Skills

• 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.

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 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 Manage Mentor, 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.

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