Application Architect (AI)

Design end-to-end AI solution architectures using Azure AI Foundry and AWS Bedrock to address specific business challenges.

Define and maintain AI reference architectures and design patterns for common use cases such as document intelligence, conversational AI, knowledge mining and process automation.

Provide technical direction to development teams, ensuring implementation aligns with architectural standards, best practices and agreed solution patterns.

Oversee the development of AI application solutions across proof-of-concept through to production deployment and ongoing operations.

Use reusable accelerators, templates and tooling to streamline delivery of AI-enabled application solutions across initiatives.

Define and implement AI solution lifecycle management (monitoring, evaluation, retraining and continuous improvement) within the broader application lifecycle.

Ensure solutions meet performance, reliability and governance requirements; embed security and responsible AI considerations into architecture and design decisions.

Develop and maintain architectural documentation (reference architectures, design decisions, patterns, runbooks) to support delivery and operational handover.

Mentor and guide team members on AI solution design, architecture best practices, and effective delivery approaches.

Collaborate with Cloud and Data Product Architects to ensure integrated solution design across the wider portfolio.

Stay current with emerging AI services, tools and frameworks, evaluating applicability to architectural standards and delivery patterns.

Contribute to the evolution of delivery methodologies, standards and practices to improve consistency, reuse and time-to-value for AI-enabled application delivery.

Demonstrable experience in application architecture, including designing scalable and maintainable software solutions.

Demonstrable background designing and delivering AI/ML solutions using with strong experience using cloud platforms.

Experience integrating AI into applications and creating AI-enabled applications.

Strong understanding of software development methodologies and cloud technologies.

Understanding of responsible AI principles, prompt engineering, model evaluation, and Infrastructure as Code (Terraform, Bicep) for AI workload deployments.

Excellent problem-solving and analytical skills, with the ability to develop purpose-driven solutions.

Strong communication and collaboration skills, including ability to explain complex technical/AI concepts to non-technical stakeholders.

Ability to manage multiple priorities, meet deadlines and provide leadership/mentoring across teams.

Preferred certifications for Azure or AWS in AI and Architecture.

Ability to attain UK Security Clearance (as per relevant contracts).