GenAI Developer Sr

Position: GenAI Developer Sr I
IT accelerates the success of IDEXX employees and customers by providing scalable and innovative solutions and leadership. We are a global organization that supports all technology needed to deliver products and solutions to customers enabling them to focus on delivering high quality patient care.  We strive to provide exceptional customer service and experience in the most efficient means possible, requiring alignment and cross-functional communication.

As a GenAI Developer Sr I, you will lead the architecture, design, and implementation of complex applications — including reports, n-tier web applications, and cloud-native solutions — using AI-assisted development tools such as Claude Code, and set technical direction for incorporating modern generative AI capabilities across the organization.

The Enterprise Technology department builds the platforms and applications that power IDEXX's business, including next-generation applications that incorporate modern AI and generative AI capabilities. In this role, you'll own advanced RAG architecture, MCP and agent integration strategy, and prompt engineering and evaluation practices, while mentoring other engineers, championing secure and compliant development, and driving technical decisions on ambiguous, high-impact  this role, you will:

Lead the architecture, design, and implementation of complex applications — across frontend and backend, including reports, n-tier web applications, and cloud-native solutions — leveraging AI-assisted development tools such as Claude Code to increase team velocity and quality.

Define and evangelize best practices, standards, and reusable patterns for using AI coding tools across the development organization.

Establish and lead adoption of spec-driven development practices — defining how engineering work is decomposed into clear specs and plans so it can be reliably chunked, sequenced, and orchestrated through AI coding agents such as Claude Code, rather than relying on ad hoc prompting.

Architect and lead implementation of advanced RAG solutions, including retrieval strategy, chunking, embeddings, and evaluation of retrieval quality across vector store technologies.

Design and oversee integration of MCP servers, tools, and other agent-enabling protocols across applications and internal microservices, evaluating new integrations for security, reliability, and maintainability.

Design and lead development of multi-step and multi-agent systems, establishing patterns for orchestration, tool use, and safety guardrails across frameworks such as Lang Chain/Lang Graph, the Anthropic Agent SDK, and Auto Gen/CrewAI.Own advanced prompt engineering strategy, including prompt design, versioning, red-teaming, and human-in-the-loop review; help introduce automated evaluation frameworks (e.g., promptfoo, Deep Eval) where none exist today.

Own observability and cost/token monitoring for AI features in production, establishing logging, tracing, and dashboards to track output quality, latency, and drift, and communicating cost tradeoffs to stakeholders and leadership.

Champion secure development and data privacy practices, ensuring AI integrations are reviewed for risks such as prompt injection and tool misuse, and maintaining working awareness of relevant compliance and responsible AI considerations (e.g., SOC 2, HIPAA-adjacent requirements, export controls, fairness, and explainability).Mentor GenAI Developer I and II engineers, lead design and code reviews, and elevate the team's overall technical capability.

Partner with product, architecture, and security teams to evaluate emerging GenAI technologies, models, and vendors, and make build-versus-adopt recommendations — maintaining awareness of the landscape even though…