Distinguished AI Tech Lead, Frontier Applications

AVEVA

Distinguished AI Tech Lead shaping technical truth and guiding AI strategies for industrial applications. Partnering across functions to infuse AI into existing capabilities while managing technical risks and performance metrics.

Posted 4/17/2026full-timeCambridge • 🇬🇧 United KingdomSeniorWebsite

Tech Stack

Tools & technologies

PythonPyTorchTensorflow

About the role

Key responsibilities & impact

Shape and evangelize the technical truth for AI capabilities from early concepts through launch, aligning with overall technology strategy and AI business goals, market trends, and customer needs
Deeply understand AI and ML advances, navigate ambiguity and make thoughtful trade-offs within both 0 to 1 and ongoing lifecycle management environments to identify opportunities where AI can help address value-driven real-world use cases for industrial customers
Source emerging AI technologies for Industrial AI applications
Proactively identify and help mitigate technical risks, ensuring quality, safety, and reliability best practices
Partnering cross-functionally, drive the creation of technical AI requirements documents and an end-to-end technical roadmap, prioritizing features, data constraints, model performance, and requirements based on customer use cases, scientific and technological advancements, and broader industrial sector analysis
Define, monitor and report on key value-driven AI capability metrics and determine necessary data-driven insights to evaluate performance and inform future decisions
Strong technical, analytical and problem-solving skills with a data-driven approach to decisions
Ensure AI capabilities are industrial sector relevant and adhere to safety, security, governance and regulatory standards
Provide leadership and mentorship to junior team members; foster a culture of innovation and continuous improvement

Requirements

What you’ll need

12+ years of experience with at least 5 years in an AI technical leadership role
Recent experience with modern AI paradigms such as: world models, foundation models, multi-modal language models, agent-based systems, orchestration, context retrieval and augmentation techniques
Experience in responsible deployment practices, model drift mitigation, privacy-preserving federating learning, and AI governance best practices
Exceptional technical background with deep intuition for AI in highly regulated industries and proven experience having recently shipped code or emerging AI capabilities to production
Excellent judgment in prioritizing between emerging AI technologies and existing ones for right-sized and industrial sector relevant features, architectural improvements and revenue entitlement
Expertise in Python and deep experience with deep learning frameworks (e.g., Jax, TensorFlow, PyTorch) and state-of-the-art ML techniques
Exceptional leadership and communication skills, with the ability to influence cross-functional and matrixed teams, and present complex technical information clearly to both technical and non-technical audiences
Master's degree in Computer Science, Physics, Engineering or a related technical field; PhD degree preferred
Experience in at least two regulated industries (e.g., life sciences, manufacturing, energy, infrastructure, asset-intensive industries, material science)

Benefits

Comp & perks

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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

AIMLPythondeep learning frameworksJaxTensorFlowPyTorchmodel drift mitigationprivacy-preserving federated learningAI governance

Soft Skills

technical leadershipanalytical skillsproblem-solving skillsjudgmentcommunication skillsinfluencementorshipinnovationcontinuous improvement

Certifications

Master's degree in Computer ScienceMaster's degree in PhysicsMaster's degree in EngineeringPhD degree