AI Platform Engineer

• Lead the technical design and development of AI-driven proof-of-concepts, prototypes and lightweight applications that demonstrate measurable business value.
• Work directly with senior stakeholders, business teams and technology leaders to understand challenges and translate opportunities into practical AI solutions.
• Take ownership of AI use cases from initial technical exploration through to feasibility validation, demonstration and handover for production development.
• Build innovative solutions using Microsoft Azure, AI technologies and modern software engineering practices.
• Design and implement integrations across multiple enterprise data sources, systems and applications, establishing scalable and reusable engineering patterns.
• Leverage AI-assisted development tools, including GitHub Copilot, to accelerate engineering delivery and experimentation.
• Collaborate with platform engineering, architecture, security and governance teams to ensure solutions align with the bank’s technical and regulatory standards.
• Present prototypes, technical findings and recommendations to senior stakeholders, clearly articulating feasibility, value and potential implementation considerations.
• Support the transition of successful prototypes into production, working alongside wider engineering and platform teams where appropriate.
• Champion emerging AI technologies, engineering best practices and innovative approaches to solving business challenges.

• Strong background in hands-on software engineering, with experience designing and delivering applications and technical solutions independently.
• Proven experience developing AI-enabled applications, prototypes or proof-of-concepts, ideally within an enterprise environment.
• Strong expertise across the Microsoft Azure ecosystem, including cloud-native application development and integration.
• Experience working with Generative AI, Large Language Models (LLMs), AI agents or AI-assisted development tools.
• Solid understanding of API development, systems integration and connecting multiple enterprise data sources.
• Experience with modern development languages and technologies, such as Python, SQL and relevant backend frameworks.
• Ability to rapidly translate business requirements into working technical solutions without relying on large engineering teams.
• Excellent stakeholder management and communication skills, with the confidence to engage, influence and present to senior business and technology leaders.
• Strong understanding of software engineering principles, architecture, security and maintainability.
• Previous experience within banking, wealth management or financial services, with an appreciation of working in a regulated environment.
• A proactive, pragmatic and solutions-focused mindset, with the ability to balance innovation, technical feasibility and business value.

Desirable Experience

• Exposure to Microsoft Dynamics 365, Power Platform or enterprise CRM environments.
• Experience with Azure AI services and enterprise AI integration patterns.
• Familiarity with AI governance, responsible AI principles and data security requirements within regulated organisations.
• Previous experience in a forward-deployed engineering, innovation engineering or technical consultancy role.
• Experience helping transition AI prototypes into scalable, production-ready applications.

If you are an accomplished engineer with strong Azure expertise, a passion for applied AI and the confidence to engage directly with senior stakeholders, we would be keen to hear from you.

We are working with a leading Private Bank that is looking to appoint a Lead AI Engineer to play a pivotal role in accelerating the adoption of AI across the organisation.

This is an exciting opportunity for a hands on, commercially aware engineer who thrives on turning innovative AI concepts into tangible business solutions.

You will work closely with senior business stakeholders to rapidly prototype, validate and demonstrate AI driven solutions that address real world banking challenges.

Rather than focusing solely on large scale production engineering, this role is about innovation, experimentation and proving what is possible. You will take ownership of high-value AI use cases, develop working prototypes and help shape the bank’s approach to delivering AI-enabled capabilities.

This is a highly autonomous, hands on technical leadership role, offering significant stakeholder exposure and the opportunity to influence how AI is adopted across a prestigious financial services environment.