Distinguished AI Engineer in Derry

AVEVA creates 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 hands‑on engineering lead role focuses on investigating, prototyping, and validating emerging AI technologies to drive innovation and real‑world solutions.

• 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.
• 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 transfer to later stage development and downstream products.
• Clearly document findings and present actionable recommendations to technical and non‑technical stakeholders.
• Mentor and coach junior team members.

• 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 of 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, multi‑modal language models, agent‑based systems and orchestration, and context retrieval and augmentation techniques.
• Exceptional communication and presentation skills; able to articulate complex technical concepts to both technical and non‑technical audiences, including senior leadership.
• Experience in industrial, IoT, manufacturing, energy, or asset‑intensive domains.
• Ability to connect AI capabilities to practical industrial or enterprise use cases.

• 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.
• Interest in supporting technical and scientific publications on AI research.

• 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.
• Ability to meaningfully influence AI roadmaps and technology direction through evidence‑backed work.

• 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. Benefits may vary by country but are similarly comprehensive.

Employees are expected to be in their local AVEVA office three days a week, unless fully office‑based assignments or remote support for specific customers or markets.

AVEVA is an Equal Opportunity Employer. We are committed to an inclusive culture, reasonable accommodation to applicants with disabilities, and a workplace where all employees are treated with dignity and respect.