AI Specialist

job description

We are launching an AI Foundry to serve as the central engine for intelligent, secure, and scalable solutions across our entire enterprise. This is an invitation to join a high-visibility initiative where innovation is encouraged and your technical leadership will directly influence the future of the business. We value a culture of freedom to experiment, where cutting-edge agentic solutions and LLM frameworks are used to solve complex, real-world problems at scale.

About the Role

As a senior AI Specialist, you will be the primary architect and technical authority within our AI Foundry. This is a high-impact, hands-on contract role where you will transition between shaping high-level strategy and designing the technical standards for enterprise-wide AI governance. You will be responsible for building advanced systems—ranging from RAG pipelines to multi-agent workflows—while ensuring every solution meets rigorous security and ethical guardrails. Acting as a trusted advisor to senior leadership, you will evaluate new capabilities, mentor multidisciplinary teams, and ensure our AI journey is evidence-based and future-proof.

What you’ll be doing

• Lead the design and governance of enterprise AI, LLM and agentic AI solutions

• Shape AI strategy, standards, and architectural patterns

• Build and evaluate RAG pipelines, copilots, and multi-agent workflows

• Run POCs and experiments to test new AI capabilities

• Define guardrails for security, ethics, and responsible AI

• Review high-risk AI systems and provide technical assurance

• Advise on model selection, prompting strategies, and data approaches

• Mentor teams and raise AI capability across the organisation

• Challenge vendors and solutions with evidence-based benchmarking

What you’ll bring

• Strong experience in AI/ML engineering, LLMs, and applied AI systems

• Hands-on experience with RAG, vector databases, embeddings, and orchestration

• Knowledge of multi-agent or autonomous workflows

• Cloud experience (Azure, AWS, or GCP)

• Solid grounding in data governance, security, and responsible AI

• Ability to explain complex AI concepts clearly to senior stakeholders

• Experience setting standards and influencing technical direction

Nice to have

• Experience in regulated industries (eg financial services)

• Exposure to enterprise governance or risk frameworks

Engagement Overview