Delta Financial Systems jobs

Job Title: Gen AI Engineer

Exp Required – 8 years Plus

Location: London

About the Job you are considering:

We are seeking a Senior Generative AI Data 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:

1. GenAI & LLM Engineering
Design and implement end-to-end GenAI pipelines using LLMs (OpenAI, Azure OpenAI, Anthropic, etc.)
Build RAG (Retrieval-Augmented Generation) architectures with vector databases (e.g., Pinecone, FAISS, Azure AI Search)
Fine-tune, evaluate, and optimize LLM outputs (prompt engineering, embeddings, guardrails)
Develop AI solutions for:
Financial document processing (contracts, KYC, trade docs)
Regulatory compliance automation
Conversational AI/chatbots for banking use cases

2. Data Engineering & Platform Development

Build scalable data pipelines using tools like Spark, PySpark, Databricks, Snowflake, or BigQuery
Design data lakes/lakehouse architectures on AWS/Azure/GCP
Integrate structured and unstructured data (market feeds, transaction data, PDFs, emails)
Implement real-time and batch processing frameworks

3. Cloud & MLOps
Deploy and manage GenAI solutions on cloud platforms (Azure preferred for financial services)
Implement CI/CD pipelines, monitoring, and governance for AI systems
Use frameworks such as:

MLflow
LangChain / LlamaIndex
Kubernetes / Docker
Ensure scalability, reliability, and security in production environments



4. Financial Services Domain Integration
Work with business stakeholders to build solutions aligned with:
Risk & compliance (Basel, AML, KYC)
Trading & portfolio analytics
Fraud detection & anomaly detection
Ensure adherence to regulatory and data privacy standards (GDPR, FCA, etc.)



5. Data Governance & Responsible AI
Implement data lineage, quality, and governance frameworks
Apply Responsible AI principles:
Bias detection
Explainability
Auditability
Ensure secure handling of sensitive financial data

Required Skills & Experience
Technical Skills
7+ years in data engineering / AI engineering
Strong Python and SQL expertise
Hands-on experience with:
LLMs and GenAI frameworks (LangChain, LlamaIndex)
Vector databases & embeddings
Spark / Databricks / distributed computing
Experience in REST APIs and microservices architecture

Cloud & Tools
Cloud: Azure (preferred), AWS, or GCP
Data platforms: Snowflake, Databricks, Delta Lake
DevOps: Git, CI/CD tools, Terraform (optional)
Containerization: Docker, Kubernetes

Financial Services Experience
Proven experience in:
Banking / Capital Markets / Insurance / FinTech
Knowledge of:
Market data, trade lifecycle, risk systems, or regulatory reporting
Exposure to:
KYC/AML, compliance workflows, fraud systems (highly desirable)

Preferred Qualifications
Experience with Azure OpenAI / Copilot / Microsoft Fabric
Knowledge of knowledge graphs and semantic search
Exposure to stream processing (Kafka, Event Hub)
Certifications:

Azure Data Engineer / AI Engineer
AWS Data / ML certifications



Experience leading teams or mentoring engineers



Soft Skills
Strong problem-solving and analytical skills
Ability to translate business requirements into technical solutions
Excellent communication and stakeholder management
Experience working in agile environments

Nice-to-Have Use Case Experience
Intelligent document processing (IDP)
GenAI for financial research summarization
Automated report generation (earnings, compliance reports)
AI copilots for analysts/traders

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:

Please opt in during the application process.

Make It Real (what does it mean for you):

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