Capgemini
Senior Digital Analyst
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Job Title: Senior Digital Analyst
Location: Sheffield
About the Job you are considering:
Seeking a GenAI Engineer with strong hands-on 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.
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 and build Gen AI RAG based applications 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, groundedness, relevance, hallucination checks, and response quality against ground truth.
- Work closely with architects, platform teams, and business stakeholders to deliver scalable and secure solutions.
Required Skills and Experience
- Strong experience in AIML engineering with hands-on 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 databases and semantic search.
- Very strong programming skills in Python.
- Experience working with SQL, NoSQL databases, and enterprise data integration patterns.
- Understanding of evaluation frameworks for GenAI systems using benchmark datasets and ground truth-based validation.
- Experience in building scalable API services and production-grade AI workflows.
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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.
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 think tanks 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.
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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
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