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# Senior Digital Analyst

- **Company:** Capgemini Sogeti
- **Location:** London, UK (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Microsoft Azure, Computer Programming, Databases, Data Integration, Data Mining, Python (Programming Language), NoSQL, Search Technologies, Web Services, Large Language Models, Prompt Engineering, Model Validation, Generative AI, Build Management, Kubernetes, Artificial Intelligence Markup Language (AIML), Automation Anywhere
- **Published:** July 31, 2026
- **Apply:** https://uk.indeed.com/viewjob?jk=cc061ee5060b7638

## About the Role

Seeking a GenAI Engineer with strong Handson experience in building end-to-end AI applications The role requires integrating data from multiple systems extracting and parsing information from documents and images interacting with structured databases storing parsed content in a vector database and implementing robust retrieval pipelines The engineer must also ensure solution quality through evaluation frameworks ground truth validation and defined performance metrics, * strong experience in AIML engineering with Handson exposure to Generative AI use cases

 * Experience in building RAG applications in enterprise environments
 * Strong knowledge of document parsing OCR and image-based data extraction
 * Experience with LLM orchestration frameworks and prompt design
 * Experience with vector data bases and semantic search
 * Very Strong programming skills in Python
 * Experience working with SQL NoSQL data bases and enterprise data integration patterns
 * Understanding of evaluation frame works for GenAI systems using benchmark datasets and ground truth-based validation
 * Experience in building scalable API services and production grade AI workflows

Preferred Skills

 * Experience with Azure based AI stack

 * Experience with high volume document processing
 * Familiarity with enterprise architecture security and compliance controls
 * Exposure to monitoring model evaluation and AI observability tools

Follow enterprise standards for security governance observability and performance

## Description

* Design and build Gen AIRAG based application using data from multiple enterprise systems
 * Integrate with structured and unstructured data sources including databases APIs files and document repositories
 * Develop pipelines to parse and extract data from documents and images using OCR document intelligence and related tools
 * Process and structure extracted content for downstream AI use cases
 * Store parsed and chunked content in a vector database and manage embeddings effectively
 * Implement and optimize retrieval pipelines including chunking indexing metadata tagging filtering and reranking
 * Build workflows to interact with relational and enterprise databases for querying and enrichment
 * Ensure the application follows strong evaluation practices including accuracy grounded Ness relevance hallucination checks and response quality against ground truth
 * Work closely with architect's platform teams and business stakeholders to deliver scalable and secure solutions


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