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AI & Automation Technical Lead — End-to-End AI Solutions

Manchester Digital

Greater London

On-site

GBP 60,000 - 80,000

Full time

3 days ago
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Job summary

A public sector organization in the UK is seeking an experienced AI & Intelligent Automation Technical Lead to guide the implementation of AI solutions within the digital transformation framework. The ideal candidate will manage a multidisciplinary team, ensuring that AI practices align with ethical standards and business objectives. You will lead the design of intelligent systems, assess AI technologies, and engage with stakeholders to enhance user experiences. Proven expertise in AI deployment and a graduate-level education in a related field are essential.

Qualifications

  • Graduate-level education or equivalent experience in AI, Data Science, or Software Engineering.
  • Proven experience leading the design, development, and deployment of AI solutions in complex environments.
  • Hands-on experience implementing task-based, conversational, or autonomous agents.

Responsibilities

  • Lead the end-to-end technical design, development, and implementation of AI solutions.
  • Identify opportunities to apply AI agents to optimise business processes.
  • Ensure all AI solutions are ethical, secure, and aligned with regulatory obligations.

Skills

AI Solution Delivery
Agent-Based Systems
Communication and Stakeholder Engagement
Systems Design
Leadership and Mentoring

Education

Graduate-level education in AI, Data Science, or Software Engineering

Tools

Azure AI Services
OpenAI APIs
Copilot Studio
Job description
A public sector organization in the UK is seeking an experienced AI & Intelligent Automation Technical Lead to guide the implementation of AI solutions within the digital transformation framework. The ideal candidate will manage a multidisciplinary team, ensuring that AI practices align with ethical standards and business objectives. You will lead the design of intelligent systems, assess AI technologies, and engage with stakeholders to enhance user experiences. Proven expertise in AI deployment and a graduate-level education in a related field are essential.
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