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Lead AI Engineer

Aveva Group

Aveva Group

Software Companies

20148 Milano, Lombardia - Italien

Senior Specialist / Project Manager

Hybrid

Experteer Overview

As Lead AI Research Engineer, you guide the practical exploration and deployment of cutting-edge AI technologies within AVEVA’s AI Investigation and Incubation team. You will prototype, benchmark, and validate AI/ML approaches to solve real-world industrial challenges, balancing research ambition with deployable, scalable systems. You will influence AI roadmaps and collaborate across functions to move concepts into products. This role offers a chance to shape impactful industrial AI at scale.

Compensation / Benefits

  • Flexible benefits fund
  • Emergency leave days
  • Adoption leave
  • 28 days annual leave plus bank holidays
  • Pension
  • Life cover

Responsibilities

  • Research and evaluate emerging AI technologies for practical applicability and deployability
  • Develop, fine-tune, evaluate, and benchmark AI/ML models
  • Design and iterate on prototypes, proofs-of-concept, and pilots
  • Assess scalability, reliability, cost, security, and operational feasibility of AI approaches
  • Document architectural decisions for model deployment and integration
  • Drive technical publications on AI research
  • Collaborate with cross-functional teams to transition proofs-of-concept to products
  • Document findings and present actionable recommendations to technical and non-technical stakeholders
  • Mentor and coach junior team members

Key requirements

  • 10+ years of AI research and development or equivalent industry experience with at least 3 years in a technical lead role
  • Bachelor's degree in Computer Science, AI/ML, Engineering or related field; advanced degree preferred
  • Proven track record leading large-scale technical investigations or complex AI initiatives with measurable outcomes
  • Expertise in Python and deep learning frameworks (e.g., Jax, TensorFlow, PyTorch) and state-of-the-art ML techniques
  • Experience with modern AI paradigms (world models, foundation models, multi-modal language models); agent-based systems and orchestration; context retrieval and augmentation
  • Excellent communication and presentation skills for technical and non-technical audiences including senior leadership
  • Ability to connect AI capabilities to practical industrial or enterprise use cases

Description

As Lead AI Research Engineer, you guide the practical exploration and deployment of cutting-edge AI technologies within AVEVA’s AI Investiga…
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