Distinguished AI Engineer

Responsibilities

• 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
• 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
• Essential requirements
• 12+ years of experience in AI/ML engineering, or equivalent industry experience with at least 4 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 AI/ML incubations or complex deep tech 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
• Experience industrial, IoT, manufacturing, energy, or asset-intensive domains
• Ability to connect AI capabilities to practical industrial or enterprise use cases
• Desired skills and competencies
• 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
• Experience working in both enterprise and start up environments
• Interesting in supporting technical and scientific publications on AI research
• What success looks like
• AI concepts progress beyond research into validated, working prototypes and pilots
• Technical investigations result in clear go / no-go recommendations
• Prototypes and pilots demonstrate feasibility for real-world deployment, not just benchmark performance
• Strong collaboration with cross-functional technical and non-technical teams to enable transition into later stage development, where appropriate
• Ability to meaningfully influence AI roadmaps and technology direction through evidence-backed work
• R&D at AVEVA
• 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.
• Find out more: aveva.com/en/about/careers/r-and-d-careers/
• USA Benefits include:
• 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.
• It's possible we're hiring for this position in multiple countries, in which case the above benefits apply

Benefits

Additional Information

AVEVA is creating software trusted by over 90% of leading industrial companies. Salary Range: $213,500.00 - $425,500.00 This pay range represents the minimum and maximum compensation that the position offers, and final compensation can vary within the range depending on work location, job experience, skills, and relevant educational attainment and/or training. Position: Distinguished AI Engineer Location: San Leandro, CA; Boston, MA; New York, NY Employment Type: Full-time The job 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 investigating , prototyping, and validating emerging AI technologies to drive innovation and real-world solutions . The ideal candidate will have a passion for both exploring new frontiers in AI and turning emerging concepts 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 exploration and hands-on incubation is critical for this role.

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