AVEVA

Distinguished AI Tech Lead, Frontier Applications

AVEVA

full-time

Posted on:

Location Type: Hybrid

Location: Cambridge • United Kingdom

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Job Level

Senior

Tech Stack

PythonPyTorchTensorflow

About the role

  • 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

  • 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
  • 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
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

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