AI Solutions Lead

AI Solution Delivery & Technical Execution

• Build and support agentic AI solutions using patterns such as prompt engineering, RAG, tool orchestration, validation, evaluation, and monitoring
• Implement LLMOps and lifecycle governance for models and prompts, including versioning, evaluation and monitoring.
• Ensure solutions meet enterprise standards for quality, reliability, latency, and cost.
• Embed Responsible AI, security, and compliance by design, partnering with Risk, Legal, and Security.
• Evaluate emerging GenAI tools, frameworks, and methodologies and recommend practical adoption opportunities.

Engineering Excellence & DevOps

• Follow strong software engineering practices including code quality, testing, documentation, CI/CD, version control, and deployment readiness.
• Support model and application monitoring, observability, incident resolution, cost optimisation, and continuous improvement.
• Contribute to reusable assets, solution patterns, templates, and shared components to improve speed and consistency of AI delivery.

Business Partnership & Product Collaboration

• Translate business objectives into analytical and technical requirements with clear success metrics such as adoption, time saved, accuracy, quality, reliability, cost, or business impact.
• Communicate solution options, trade-offs, risks, and recommendations clearly to both business and technical stakeholders.
• Work collaboratively with product owners, data engineers, architects, and vendors to deliver end-to-end AI solutions.

Research and Innovation:

• Stay current with the latest advancements in Generative AI, cloud technologies, and LLMOps practices, and proactively translate relevant insights into team and platform adoption.
• Evaluate emerging tools, techniques, and methodologies to enhance GenAI capabilities, developer productivity, and operational efficiency, integrating them into platforms and solutions where they add value.
  • Lead targeted experimentation and proofs of concept, scaling successful ideas into robust, production-ready solution