Teams at Cevo

Design and implement practical AI governance frameworks for clients, covering AI strategy, risk assessment, responsible AI, privacy, security, vendor assurance, inventories, monitoring, and capability uplift. The role develops governance committees, risk taxonomies, controls, assurance processes, metrics, and training for generative AI, agentic AI, and third-party AI services.

Lead strategic AI and agentic systems consulting opportunities for enterprise and government clients. Responsibilities include executive advisory, discovery workshops, architecture reviews, transformation roadmaps, presales, solution shaping, engagement leadership, capability development, reusable IP creation, and scalable service offering development. The role requires connecting AWS cloud, data, AI, intelligent automation, and modernisation capabilities into commercially valuable customer propositions while coaching consulting teams and influencing senior stakeholders.

Embed with enterprise clients to define outcomes and rapidly build production-grade AI solutions. Design agentic AI systems using Anthropic and AWS, including RAG pipelines, multi-agent orchestration, LLM assistants, evaluation frameworks, and responsible AI controls. Develop and deploy models with Amazon Bedrock and SageMaker, integrate solutions with enterprise platforms, and deliver end-to-end AI systems while collaborating directly with clients across regulated industries.