AI Innovation Specialist - MEOPAR Inc

What You’ll Do

Reporting to the Director of CIOOS, the AI Innovation Specialist plays a key role in advancing both MEOPAR’s and CIOOS’ mission by applying artificial intelligence to make oceanographic data more discoverable, accessible, and usable. This role leads the design, development, and deployment of practical AI solutions, while also building and maintaining the data pipelines and systems that support them.

Working with internal teams and external partners, you will deliver scalable tools that enhance search, data exploration, and metadata integration. You will own solutions from concept through to ongoing optimization, ensuring performance, reliability, and alignment with data governance and responsible AI practices.

This role requires a balance of hands-on technical expertise and strategic thinking in a collaborative, multi-stakeholder environment. You will translate emerging AI capabilities into practical applications, support adoption through strong communication and change management, and help drive continuous improvement across the network.

You’ll leverage your strengths as a self-directed and adaptable professional to operate effectively in a resource-constrained environment, confidently navigating ambiguity, identifying priorities, and delivering impactful solutions with minimal direction.

Responsibilities include but are not limited to:

• AI Solution Development & Delivery : Lead the end-to-end design, development, and deployment of AI solutions, from concept through to production and continuous improvement.
• Data Engineering & Infrastructure : Build and maintain data pipelines and systems that support AI tools, ensuring data quality, integrity, and alignment with governance standards.
• Systems Integration & Optimization : Integrate AI capabilities into existing platforms, enhancing metadata, search, and data accessibility across the network.
• Innovation & Prototyping : Identify opportunities for AI application, develop proofs of concept, and evaluate emerging technologies to drive continuous innovation.
• AI Operations & Standards : Oversee deployment and performance of AI solutions within cloud environments, establishing best practices in MLOps/LLMOps, security, and reproducibility.
• Governance & Responsible AI : Contribute to AI strategy and governance, supporting policy development, risk management, and ethical AI use.
• Stakeholder Engagement & Change Management: Build strong relationships across internal and external partners, leading communication, training, and adoption efforts to drive successful AI implementation.
• Project Leadership & Collaboration : Coordinate cross-functional contributions, provide guidance to developers and partners, and ensure alignment with organizational priorities.

What You’ll Bring