Jobs at ICS AI Ltd

Lead AI Developer to capture client requirements, translate workflows into technical designs, provide technical leadership and mentoring, and contribute hands-on development in .NET/C#/Azure/React. Implement generative AI features (LLMs, RAG, Agentic AI), oversee backlog refinement, sprint planning, code reviews, testing, and support Azure, Power Platform, and M365 cloud-first delivery.

Lead AI transformation programmes for local government using PRINCE2 Agile and Scrum. Coordinate technical teams, manage budgets, risks, governance, stakeholder engagement, reporting, documentation, and benefits realization while acting as primary client contact and steering group representative.

Design and deliver enterprise AI solutions using Microsoft cloud technologies. Develop .NET software, build prototypes, QA releases, debug across environments, produce technical documentation, and support engineering process improvements within agile teams.

Provide technical leadership and client-facing requirements capture; translate business processes into technical designs; hands-on development in C#/.NET, Azure and React; implement generative AI features (LLMs, RAG, Agentic AI); mentor developers; lead sprint planning, backlog refinement, code reviews and QA; support Azure, Power Platform and M365 cloud-first delivery.

Lead organisational change for AI implementations across public-sector clients. Design and deliver change strategies, stakeholder engagement, communications, training, readiness assessments, adoption tracking, benefits realisation, and support transition to business-as-usual alongside delivery teams.

Senior dual-mandate role leading Client Services (Customer Success, Adoption, Service Management, Benefits Management). Own operating model, KPIs, CSAT/NPS, benefits tracking and strategic agreements. Engage C-suite and senior public sector finance stakeholders to agree and validate programme benefits, represent ICS.AI at governance forums, manage escalations, support renewals and shape delivery value at scale.

Own the Specify process for core and internal AI products: translate intent into Intent Briefs and PRDs, manage and prioritise Azure DevOps backlogs, define user stories and acceptance criteria, produce prototypes and documentation, coordinate stakeholder feedback, attend sprint ceremonies, and support release communications to ensure reliable delivery of AI agent products.

Lead multiple concurrent AI transformation programmes for public sector clients, owning governance, benefits realisation, budgets, risk, stakeholder management, change and adoption, and ensuring responsible AI deployment across delivery teams.