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Big data technical lead

Guernsey
Hancock & Parsons Ltd
Posted: 13h ago
Offer description

A market leader in AI solutions is seeking a well experienced Lead Developer to join their innovative engineering team. You'll be responsible for providing technical leadership, customer-facing (requirements gathering), solution design, delivery oversight for AI projects and products. You'll take the lead in understanding client processes, solution viability and ensuring technical deliverables align. In addition, you'd work closely with Architects, Project Managers and client stakeholders to deliver scalable and secure AI solutions.
Skills & Experience:
A delivery-focused outlook and commercial awareness
Experience engaging directly with clients to capture business processes and requirements
The ability to balance hands-on coding expertise with solution viability analysis
Experience mentoring developers and enforcing coding standards
A strong background in .NET, Azure, and modern AI frameworks
Excellent communication skills to bridge technical and non-technical stakeholders
A passion for innovation and responsible AI practices

Responsibilities:
Engage directly with client stakeholders to capture and document business process requirements
Translate business workflows into viable technical designs, backlog items, and deliverables
Assess the feasibility and viability of solutions against business needs, budgets, and technical constraints
Provide technical leadership across programmes and projects, coordinating outputs across delivery teams
Support architects in solution design and integration patterns
Mentor developers, fostering skill development and knowledge transfer
Lead backlog refinement, sprint planning, and technical prioritisation activities
Oversee quality assurance, code reviews, and unit testing to ensure delivery quality
Ensure AI solutions adhere to secure coding, accessibility, and compliance standards
Contribute to implementation of LLMs, RAG, Agentic AI, and related frameworks
Manage DevOps pipelines and CI/CD practices in Azure
Support delivery of cloud-first applications across Azure, Power Platform, and M365
Research and apply emerging AI and Microsoft technologies to improve product and solution delivery

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