AI Solutions Engineer

We are seeking a hands-on AI Solutions Engineer to design, build, deploy and support practical AI solutions across a complex professional services environment.

The successful candidate will combine strong AI platform knowledge with software development capability and will be comfortable working directly with business stakeholders to translate requirements into secure, scalable and maintainable AI solutions.

This role requires a practical engineer with experience delivering AI solutions into production environments. We are not seeking a purely strategic AI or innovation profile, nor a traditional data scientist without strong software engineering and solution delivery experience.

• Design, build, deploy and support AI solutions across the organisation.
• Work directly with stakeholders to understand business requirements and translate them into technical solutions.
• Develop secure, scalable and maintainable AI applications.
• Design prompts, grounding strategies and knowledge integrations to produce reliable AI responses.
• Integrate AI solutions into existing workflows and core business systems.
• Build proofs of concept and evaluate third-party AI platforms and tools.
• Contribute to build-versus-buy assessments for AI solutions.
• Ensure AI solutions meet requirements relating to security, data privacy, access controls and auditability.
• Support the adoption of trusted, reliable and explainable AI solutions across the business.
• Work collaboratively across teams, functions and international offices.

• Practical experience building and deploying AI or machine learning solutions into production environments.
• Experience supporting AI solutions beyond proof-of-concept stage.
• Experience integrating AI capabilities into business processes and workflows.
• Experience working with agentic AI solutions.

• Strong experience with:
  Microsoft Copilot Studio
• Azure AI Foundry
• Azure Dev Ops

• Strong software development capability.
• Experience developing solutions using Python.
• Experience with JavaScript or other development languages would be advantageous.

• Solid understanding of:
  • Large Language Models (LLMs)
  • Natural Language Processing (NLP)
  • Machine Learning fundamentals
  • Prompt Engineering
• Experience designing prompts and grounding strategies.
• Experience integrating knowledge sources to improve AI response quality.

• Understanding of:
  • AI security
  • Data privacy
  • Access controls
  • Auditability
• Awareness of:
  • GDPR
  • EU AI Act

• Translate business requirements into technical solutions.
• Explain complex AI concepts to non-technical audiences.
• Work effectively with a broad range of stakeholders.
• Build strong working relationships across different functions and locations.

• Pragmatic and risk-aware approach.
• Focus on trusted, reliable and explainable AI.
• Strong analytical and problem-solving skills.
• Strong attention to detail.
• Ability to work effectively across multiple teams and functions.

• Experience with in legal or professional services environments would be beneficial but is not essential.
• We would also welcome candidates from other complex, security-conscious and highly regulated environments where confidentiality, reliability and governance are important.

We are particularly interested in genuinely hands-on AI engineers who have built and deployed production AI solutions, ideally within the Microsoft ecosystem. Successful candidates will combine AI engineering expertise, software development capability and stakeholder engagement skills to deliver practical, business-focused AI solutions.

Senior AI Engineer

Artificial Intelligence (AI), Generative AI, Large Language Models (LLMs), Agentic AI, Prompt Engineering, Azure AI Foundry, Azure OpenAI, Azure Dev Ops, Python, Software Engineering, AI Solution Delivery, AI Deployment, Knowledge Integration, RAG, NLP, Machine Learning, AI Governance, AI Security, GDPR, Enterprise AI, Stakeholder Management and Digital Transformation.