Intelligent Automation Engineering Manager

Role - Intelligent Automation Engineering Manager

Employment Type - Fixed term contract - 6 months

Mode - Hybrid/ Remote

Role Overview:

We are seeking an Intelligent Automation Engineering Manager to lead a high-performing AI Enablement engineering team focused on accelerating the responsible adoption of AI across the enterprise. The successful candidate will drive the delivery of enterprise-grade AI agents, AI enablement platforms, and integration capabilities, while providing technical leadership, people management, and strategic direction across a rapidly evolving AI ecosystem.

This role will partner closely with Product, Architecture, Security, Compliance, CloudOps, and Integration teams to ensure AI solutions are secure, scalable, well-governed, and deliver measurable business value.

Key Responsibilities:
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Lead, mentor, and develop a team of engineers, fostering a culture of technical excellence, innovation, and continuous improvement.

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Drive the delivery of AI enablement capabilities that support the adoption of Generative AI and agentic workflows across the organisation.

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Own the roadmap, strategy, and engineering delivery of the MCP ecosystem, enabling secure integration between AI assistants, enterprise systems, data sources, and business applications.

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Lead the design, development, deployment, and operational support of AI agents and AI-powered solutions.

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Establish engineering standards and best practices for AI architecture, orchestration, retrieval, tool invocation, observability, governance, privacy, security, and cost management.

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Review technical designs and architecture documentation to ensure solutions align with engineering, security, and governance standards.

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Translate emerging AI opportunities into pragmatic delivery plans balancing innovation, scalability, reliability, and business outcomes.

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Collaborate with integration, automation, platform, and cloud teams to ensure AI solutions integrate effectively with existing enterprise systems and workflows.

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Partner with Product, Architecture, Security, Compliance, and Business stakeholders to ensure successful delivery and adoption of AI solutions.

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Support Azure architecture decisions and work closely with CloudOps and InfoSec teams to ensure secure and scalable platform delivery.

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Manage delivery planning, risks, dependencies, and stakeholder communications at both operational and executive levels.

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Promote agile delivery methodologies, engineering best practices, reusable frameworks, and automation across the AI Enablement function.

Essential Skills & Experience
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Proven experience leading and developing high-performing Software Engineering, Platform Engineering, Automation, or AI Engineering teams.

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Strong people leadership experience, including coaching, mentoring, performance management, and career development.

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Experience delivering enterprise software platforms, developer tools, automation solutions, or AI-enabled products in production environments.

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Strong understanding of Generative AI concepts, including:
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AI Agents

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LLMs

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Prompt Engineering

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Context Engineering

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Tool/Function Calling

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Retrieval-Augmented Generation (RAG)

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Responsible AI practices

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Experience leading discussions around system architecture, APIs, integrations, event-driven systems, security, scalability, and operational resilience.

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Strong stakeholder management skills with the ability to influence Product, Architecture, Security, Compliance, and Business teams.

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Excellent communication and presentation skills across both technical and non-technical audiences.

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Experience delivering solutions within Agile software development environments.

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Passion for building practical and scalable AI solutions that drive measurable business outcomes.

Desirable Experience
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Experience building or operating AI Agents, AI Assistants, C