Industrial AI Applications Lead

Overview

AVEVA is creating software trusted by over 90% of leading industrial companies.

Position: Industrial AI Applications Lead

Location: Cambridge, London, Derry/Londonderry, United Kingdom (Hybrid)

Employment Type: Full-time

We are hiring an experienced Industrial AI application Lead (Forward Deployed Engineer) to join the AI Investigation and Incubation team. This leader will drive the development and deployment of AI solutions in industrial settings. This hands-on senior role will bridge the gap between AI technologies exploration and real-world applications, ensuring solutions are practical, scalable, and impactful.

• Provide industrial domain expertise to guide AI tool, platform, and roadmap decisions and development

• Work directly with internal and external customers in a consultative, problem-solving manner to gather feedback and refine solutions

• Drive investigations into the application of advanced AI capabilities to industrial problems

• Identify and define industrial use cases for AI applications

• Develop AI-enabled demos, prototypes, and proof-of-value solutions for industrial problems

• Collaborate with cross-functional teams to integrate AI capabilities into industrial software systems and implement AI solutions

• Evaluate the performance and impact of AI models in operational environments

• Support and mentor junior team members

• 10+ years of experience in industrial systems, automation, applied AI, or AI-enabled software engineering with at least 3 years in a customer-facing, technical lead position

• Bachelor's degree in Computer Science, Engineering, Industrial Systems, or a related technical field; advanced degree preferred

• Exceptional industrial domain understanding (manufacturing, energy, infrastructure, asset-intensive industries, material science, etc.)

• Customer-focused, pragmatic, and results-oriented with experience leading cross-functional technical projects or customer engagements

• Demonstrated hands-on experience deploying or integrating AI/ML solutions into real-world industrial environments

• Ability to identify emerging opportunities for AI in industrial applications

• Excellent communication and interpersonal skills with the ability to embed closely with customer teams and collaborate internally across engineering, product, and commercial teams

• Experience working across on-prem, edge, and cloud-connected architectures

• Prior work in environments transitioning from traditional on-prem systems to AI-enabled or hybrid architectures

• Experience operating within regulated or compliance-driven environments (e.g., healthcare, safety-critical systems, data privacy)

• Experience mentoring or guiding less-experienced engineers

• AI solutions are successfully applied to real industrial problems, not just conceptual designs

• Prototypes and deployments demonstrate practical feasibility and measurable impact

• Codified learnings, insights and architectural patterns into references, guides, playbooks, or building blocks that are digestible and actionable for others

• Industrial constraints (latency, security, compliance, reliability) are addressed through solid engineering decisions

• Strong collaboration in a matrix / incubation environment, contributing as a senior technical practitioner

• Feedback from field deployments meaningfully influences AI platform and product direction

Our global team of 2000+ developers work on an incredibly diverse portfolio of over 75 industrial automation and engineering products, which cover everything from data management to 3D design. AI and cloud are at the centre of our strategy, and we have over 150 patents to our name.

Our track record of innovation is no fluke – it’s the result of a structured and deliberate focus on learning, collaboration and inclusivity. If you want to build applications that solve big problems, join us.

Flexible benefits fund, emergency leave days, adoption leave, 28 days annual leave (plus bank holidays), pension, life cover, private medical insurance, parental leave, education assistance program.

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