This role exists to deliberately capture that value by embedding AI across software platforms, engineering workflows, manufacturing operations, and product architectures – driving improved margins, faster delivery, and sustained long‑term competitiveness.
The successful candidate will lead the industrialisation of AI, moving beyond experimentation to make it a core operating capability embedded into how the organisation designs, builds, and delivers automation solutions.
Key Accountabilities
- Define and own the AI technology strategy across software platforms, PLC‑based controls, manufacturing, and product development
- Identify, prioritise, and execute high‑impact AI use cases aligned to business performance, scalability, risk reduction, and delivery efficiency
- Leverage leading foundation models (e.g. Claude, GPT‑based models, or equivalent) to accelerate software engineering, controls development, and R&D workflows
- Champion AI‑assisted development approaches, including rapid prototyping and “vibe‑coding” practices, while maintaining robust industrial governance, safety, and quality standards
- Embed AI capabilities into core platforms, products, and operational processes rather than standalone proofs of concept
- Provide senior technical leadership and assurance to executive stakeholders on AI adoption, risk management, and return on investment
What You Bring
- Senior technology leadership experience (e.g. CIO or equivalent) within industrial automation, manufacturing, or complex engineered systems
- Deep understanding of industrial software, PLC‑based control environments, and manufacturing operations
- Hands‑on experience applying AI and large language models in real engineering or production contexts
- Proven experience introducing AI‑assisted development practices at enterprise scale
- Strong commercial judgement, able to balance innovation with delivery risk, safety, and long‑term platform value
- Credibility and communication skills to influence boards, executives, and senior engineering leadership
Why This Role Matters
This is a rare opportunity to shape how AI is industrialised within a real-world automation environment – not as a side initiative, but as a foundational capability. The role will directly influence technology direction, delivery performance, and competitive differentiation through the organisation’s next phase of growth.
#J-18808-Ljbffr”, “datePosted”: “2026-05-04”, “hiringOrganization”: { “@type”: “Organization”, “name”: “Innovo Global Talent”, “sameAs”: “https://uk.whatjobs.com/pub_api__cpl__422594065__4861?utm_campaign=publisher&utm_medium=api&utm_source=4861” }, “jobLocation”: { “@type”: “Place”, “address”: { “@type”: “PostalAddress”, “addressLocality”: “” } } }This role exists to deliberately capture that value by embedding AI across software platforms, engineering workflows, manufacturing operations, and product architectures – driving improved margins, faster delivery, and sustained long‑term competitiveness.
The successful candidate will lead the industrialisation of AI, moving beyond experimentation to make it a core operating capability embedded into how the organisation designs, builds, and delivers automation solutions.
Key Accountabilities
- Define and own the AI technology strategy across software platforms, PLC‑based controls, manufacturing, and product development
- Identify, prioritise, and execute high‑impact AI use cases aligned to business performance, scalability, risk reduction, and delivery efficiency
- Leverage leading foundation models (e.g. Claude, GPT‑based models, or equivalent) to accelerate software engineering, controls development, and R&D workflows
- Champion AI‑assisted development approaches, including rapid prototyping and “vibe‑coding” practices, while maintaining robust industrial governance, safety, and quality standards
- Embed AI capabilities into core platforms, products, and operational processes rather than standalone proofs of concept
- Provide senior technical leadership and assurance to executive stakeholders on AI adoption, risk management, and return on investment
What You Bring
- Senior technology leadership experience (e.g. CIO or equivalent) within industrial automation, manufacturing, or complex engineered systems
- Deep understanding of industrial software, PLC‑based control environments, and manufacturing operations
- Hands‑on experience applying AI and large language models in real engineering or production contexts
- Proven experience introducing AI‑assisted development practices at enterprise scale
- Strong commercial judgement, able to balance innovation with delivery risk, safety, and long‑term platform value
- Credibility and communication skills to influence boards, executives, and senior engineering leadership
Why This Role Matters
This is a rare opportunity to shape how AI is industrialised within a real-world automation environment – not as a side initiative, but as a foundational capability. The role will directly influence technology direction, delivery performance, and competitive differentiation through the organisation’s next phase of growth.
#J-18808-Ljbffr…