Technical Lead - AI/ML Platform

Role Overview:

We are seeking a seasoned Technical Lead to own the end-to-end architectural vision for the IRIS Carbon platform. This role is critical in ensuring a clear separation between core product development and project delivery, while driving scalability, consistency, and long-term product sustainability.

A defining requirement of this role is an AI-first architectural mindset - the ability to design systems, workflows, and development pipelines that embed artificial intelligence and automation as foundational elements, not afterthoughts. The ideal candidate is equally comfortable shaping product strategy and getting hands-on with code, design reviews, and AI-assisted development tooling.

Key Responsibilities:Architecture & Platform Design:

• Architect a scalable, modular, and extensible platform to support evolving regulatory use cases across multiple markets.

• Define architectural standards, design patterns, and best practices across the CARBON platform.

• Establish and enforce product governance including change control, versioning, and prevention of customisation creep.

• Translate business needs into a cohesive product strategy and technical design framework.

• Evaluate and incorporate emerging technologies - with a particular focus on AI/ML capabilities - to enhance platform performance and intelligence.

AI-First Design & Development:

• Lead the architectural design of the platform with an AI-first approach - ensuring AI and ML are embedded at the core of data processing, compliance automation, anomaly detection, and regulatory intelligence.

• Define and implement AI-assisted development workflows: leveraging tools such as GitHub Copilot, Cursor, Amazon CodeWhisperer, or equivalent AI coding assistants to accelerate engineering velocity and improve code quality.

• Establish standards for the use of AI tools across the development lifecycle - from requirements analysis and design through to code generation, testing, and deployment.

• Drive adoption of AI-powered testing, automated code review, and intelligent CI/CD pipelines within the engineering team.

• Identify use cases within the CARBON platform where LLM-based capabilities (e.g., natural language querying of compliance data, AI-assisted report generation, intelligent validation) can deliver measurable business value.

• Stay current with the rapidly evolving AI tooling landscape and provide technical leadership in evaluating and adopting new capabilities responsibly.

Product Strategy & Governance:

• Define and drive the product roadmap in alignment with business priorities and regulatory requirements.

• Partner with engineering, delivery, and business teams to ensure consistent execution and adherence to product principles.