FDM Group logo
Data

AI Product Engineer

FDM Group
Edinburgh

Job Details

Work Mode

Hybrid

Experience

Mid

Employment

Full-time

Salary

£70,000 - £80,000 p/y

Posted Today

Tech Stack

Required technologies & tools

Intelligent Document Processing Python Ai Governance Model Validation Workflow Orchestration Prompt Evaluation Human-In-The-Loop Rest Apis Generative Ai Microsoft Power Platform Azure Ai Document Intelligence Azure Openai Service Tungsten Totalagility Ocr Icr Large Language Models Threat Modelling Retrieval-Augmented Generation Azure Ai Foundry XML JSON

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Perks & Benefits

Mentoring
Workplace pension
Annual leave
Upskilling opportunities
Career coaching
Global assignments
Work abroad opportunities
Non-linear career paths

About the Role

About The Role

FDM is a global business and technology consultancy seeking an AI Product Engineer to work for our client within the Financial Services sector. This is initially a 6-12 month contract with the potential to extend and will be a hybrid role that will be based in Edinburgh.


Our client is seeking an AI Product Engineer to design, develop and optimise AI-driven document-processing solutions within an enterprise AI Hub.


The role combines prompt engineering, Generative AI, OCR and Intelligent Document Processing to improve how structured, semi-structured and unstructured documents are classified, understood, validated and processed.


You will work with technologies including Azure AI Document Intelligence, Azure AI Foundry, Azure OpenAI Service and Tungsten TotalAgility. You will translate business requirements into secure, reusable and scalable document-intelligence capabilities for regulated, document-intensive business processes


Key Responsibilities:

  • Design, develop, test and optimise prompts for document understanding, classification, data extraction and validation.
  • Configure and optimise Azure AI Document Intelligence models and Tungsten TotalAgility workflows.
  • Develop hybrid OCR and Large Language Model processing approaches for structured, semi-structured and unstructured documents.
  • Support complex extraction requirements, including handwritten content, tables and variable document formats.
  • Define confidence thresholds, validation rules, exception-handling processes and prompt guardrails.
  • Evaluate extraction accuracy and monitor performance against agreed success measures.
  • Diagnose extraction failures and continuously improve prompts, models and processing workflows.
  • Establish reusable prompt libraries, templates, testing standards and quality-assurance processes.
  • Document design decisions, assumptions, test results and lessons learned.
  • Support AI governance, security, compliance, threat modelling and model-validation activities.
  • Contribute to operational readiness, service transition and knowledge transfer into BAU support.
  • Present technical recommendations and performance findings to business and technical stakeholders.
  • Provide technical leadership, coaching and guidance on the safe and effective use of Intelligent Document Processing capabilities


About You

Required Experience:

  • Strong experience designing, testing and optimising prompts for LLM-based document-understanding and data-extraction use cases.
  • Hands-on experience with Azure AI Document Intelligence, Azure AI Foundry and Azure OpenAI Service.
  • Strong understanding of Intelligent Document Processing, document classification and automated data extraction.
  • Knowledge of Retrieval-Augmented Generation, grounding techniques, guardrails and model-output evaluation.
  • Experience establishing prompt-testing and prompt-quality-assurance approaches.
  • Strong knowledge of OCR, ICR, handwriting recognition, table extraction and confidence scoring.
  • Experience designing validation rules, exception workflows and human-in-the-loop processes.
  • Ability to translate business requirements into effective AI interactions, behaviours and technical solutions.
  • Experience working with JSON, XML, REST APIs, workflow orchestration and prompt-evaluation frameworks.
  • Understanding of AI governance, security, compliance, risk management, threat modelling and model validation.
  • Strong analytical and problem-solving skills, with the ability to diagnose model and extraction failures.
  • Strong stakeholder-management, written communication and presentation skills.

Desirable Experience:

  • Python development experience.
  • Experience with Microsoft Power Platform.
  • Hands-on experience with Tungsten TotalAgility, including classification, extraction, validation and OCR configuration.
  • Experience delivering enterprise-scale AI-driven document automation.
  • Previous experience within financial services, banking, insurance, transfer agency or another regulated environment.
  • Knowledge of operational readiness, service transition and BAU support models.
  • Experience working with document-intensive processes such as account maintenance, transfer requests, dividends, investor communications or shareholder services
About Us

FDM is an award-winning global leader in tech and business talent solutions, backed by more than 35 years of industry experience. We have centres across Europe, North America, and Asia-Pacific, and a global workforce of over 2500 employees. FDM has shown exponential growth throughout the years, firmly establishing itself as an award-winning employer, currently listed on the FTSE4Good Index and as a 2026 Financial Times UK ‘Best Employer’.


Diversity and Inclusion


FDM Group is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, national origin, age, disability, veteran status or any other status protected by federal, provincial or local laws.


Why join us

  • Career coaching, mentoring and access to upskilling throughout your entire FDM career
  • Assignments with global companies and opportunities to work abroad
  • Opportunity to re-skill and up-skill into new areas, develop non-linear career paths and build a skillset within your field
  • Annual leave and work-place pension


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