Lead AI Research Engineer
About The Position
AVEVA is creating software trusted by over 90% of leading industrial companies. We are seeking an experienced AI technologist to join our AI Investigation and Incubation team. This is a hands-on engineering lead role, focused on researching, prototyping, and validating emerging AI technologies to drive innovation and real-world use cases. The ideal candidate will have a passion for both exploring new frontiers in AI and turning AI research into working systems with expertise making architectural trade-offs, and proving feasibility through code, experiments, and deployable prototypes. A strong technical foundation with experience working at the intersection of AI research and incubation is critical for this role.
Requirements
- 10+ years of experience in AI research and development, ML engineering, or equivalent industry experience with at least 3 years in a technical lead position
- Bachelor's degree in Computer Science, AI/ML, Engineering or a related technical field; advanced degree preferred
- Proven track record leading and delivering large-scale technical investigations or complex AI cross-functional initiatives with measurable outcomes
- Expertise in Python and deep experience with deep learning frameworks (e.g., Jax, TensorFlow, PyTorch) and state-of-the-art ML techniques (building, training, evaluating, deploying ML models)
- Practical experience with modern AI paradigms such as: world models, foundation models, and multi-modal language models; agent-based systems and orchestration; and context retrieval and augmentation techniques
- Exceptional communication and presentation skills; can articulate complex technical concepts to both technical and non-technical audiences, including senior leadership
- Ability to connect AI capabilities to practical industrial or enterprise use cases
Nice To Haves
- Exposure to AI governance, security, or compliance considerations
- Experience deploying ML models in cloud environments (Azure preferred, AWS acceptable)
- Familiarity with MLOps practices (model versioning, evaluation, monitoring, iteration)
- Experience working with non-ideal, real-world data rather than curated research datasets
- Exposure to industrial, IoT, manufacturing, energy, or asset-intensive domains
- Experience working in both enterprise and start up environments
Responsibilities
- Research and evaluate emerging AI technologies with a clear focus on practical applicability and deployability
- Investigate, develop, fine-tune, evaluate, and benchmark AI/ML models
- Design, build, and iterate on working prototypes, proof-of-concepts, and pilots
- Assess AI approaches for scalability, reliability, cost, security, and operational feasibility
- Make and document AI investigation and architectural decisions related to model deployment and integration
- Drive technical and scientific publications on AI research
- Collaborate closely with cross-functional teams to ensure AI proofs-of-concept, prototypes, and pilots can transition to later stage development and/or downstream products
- Clearly document findings and present actionable recommendations to technical and non-technical stakeholders
- Mentor and coach junior team members
Benefits
- Flex work hours
- 20 days PTO rising to 25 with service
- three paid volunteering days
- primary and secondary parental leave
- well-being support
- medical, dental, vision, and 401K
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
