AI Architect

As an AI Architect in the Data and AI Center Of Excellence, you will lead the charge in developing cutting-edge data solutions. You will create a robust architecture that captures, integrates, organizes, centralizes, and maintains data in new and innovative products. Collaborating with diverse teams, you will drive the seamless integration and adoption of AI and GenAI capabilities, playing a crucial part in designing and developing an AI Development Platform. This central role positions you at the forefront of driving the enterprise-wide adoption of AI capabilities, influencing the technical framework for Data and AI products, product delivery, and developer enablement. If you're ready to shape the future of data and AI, join us on this exciting journey.

IDEXX Data and AI Center Of Excellence (COE) develops and delivers data and AI assets and solutions to enhance IDEXX products, services, internal operations, and business practices. It is a large team of talented engineers, architects, data scientists, and analysts driving cutting-edge AI innovation in veterinary care. We create solutions that will shape the technological landscape of IDEXX as it builds innovative products and services for customers and employees.

In this role:

Architectural Design:

• You will create comprehensive architecture blueprints encompassing design options, current and future state diagrams, transition steps, data models, data pipelines, AI/GenAI, information flows, multi-agent systems, and effort estimates.

• You will develop and maintain the overall technical architecture for Data and AI products.

• You will provide architecture design and planning for technical activities, including application architecture, system landscape, installation sizing and planning, system change management, performance monitoring, tuning, troubleshooting, problem analysis, and resolution.

Technology Evaluation and Recommendation:

• You will continuously evaluate and recommend optimal technologies for implementing data products, ML/AI solutions, and an AI developer platform.

• You will establish AI and Data standards, coordinating architecture solution delivery through the Project Management Office (PMO), Ops, and Development organizations.

• You will present concepts in solution strategy working sessions as well as presentations to executive leadership teams and stakeholders.

Collaboration and Development:

• You will collaborate in designing and developing an AI Development Platform, driving the adoption of AI capabilities throughout the enterprise.

• You will work closely with technical product management/owners and engineering teams to discover AI/ML-related reusable datasets, design patterns, components, libraries, and infrastructure to optimize costs and find multi-functional commonalities.

Standards and Best Practices:

• You will produce and enforce data and AI development standards.

• Ensure the concept of data integrity and that the data's strategic value is understood and practiced throughout the Company.

Leadership and Coaching:

• You will provide deep leadership and coaching in the project delivery lifecycle, focusing on shared learning, continuous improvement, and the adoption of best practices.

Mentoring and Documentation:

• You will mentor other development and business teams on data architecture design and requirements.

• You will document research findings, prepare technical reports, and contribute to whitepapers/scientific publications.

Optimizing System Performance:

• You will manage incoming technical requests and design systems for optimum performance; proactively identify potential problems; create and modify strategies to resolve problems; and document issues and resolutions.

What You Will Need to Succeed:

• You hold a Bachelor's degree or equivalent and 10+ years of total technical experience.

• Your background includes experience as a Data or Solutions Architect focusing on AI solutions.

• You have a strong knowledge of AI and ML and experience implementing solutions.

• Experience with modern data architectures, such as data mesh and data fabric.

• You can define architectural patterns for data pipelines and ecosystems that are resilient to growth and change from the business.

• You have strong software engineering skills for the rapid and accurate development of AI models and systems.

• You are proficient in at least one prominent programming language (preferably Python).

• You have hands-on experience with technologies like Databricks, and Delta Tables.

• You have a broad understanding of data engineering (SQL, NoSQL, Big Data), Agile, UX, Cloud, software architecture, and cybersecurity, ModelOps/MLOps.

• You have experience in DevOps and an understanding of CI/ CD.

• You have an uncommon ability to anticipate how technology changes will affect solution design and data use and manipulate architecture to adapt.

• You can scope and drive technical concept discussions with data scientists, engineers, and technical partners.