Intelligent Automation Engineering Manager
Description
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.