AI Agent Developer

About Geotab

Geotab is a global leader in IoT and connected transportation. It is a certified “Great Place to Work™.” With a focus on safety, sustainability, and data analytics, Geotab provides advanced fleet management solutions that help businesses grow.

The AI Agent Developer leads the internal AI Agent Centre of Excellence (CoE) at Geotab, working closely with the Generative AI product team and cross‑functional stakeholders to develop, deploy, and maintain AI agents that address internal business challenges and deliver measurable ROI.

• In concert with executive AI stakeholders, develop and implement the vision, strategy, and operating model for the internal AI Agent CoE.
• Define governance frameworks, best practices, and standards for internal AI agent development, deployment, and maintenance.
• Develop best practices for inclusion of knowledge into agents.
• Establish processes for identifying, prioritizing, and managing a portfolio of internal AI agent use cases.
• Partner closely with business units to understand their processes, pain points, and opportunities for AI agent application.
• Identify and qualify high‑potential use cases where AI agents can deliver significant ROI, efficiency gains, or operational improvements.
• Prioritize initiatives based on feasibility, business impact, and strategic alignment, focusing initially on a specific area for rapid, iterative deployment to production.
• Lead the design, development (including hands‑on coding/prototyping initially), testing, and deployment of pilot and production AI agent solutions.
• Collaborate extensively with the existing GenAI team to leverage their agentic platform, tools, and expertise for internal use cases, ensuring synergy and avoiding redundant efforts.
• Collaborate closely with platform, legal, compliance, security, and data governance teams to ensure agents adhere to all data governance, security, and regulatory guardrails.
• Serve as the primary point of contact and subject‑matter expert for internal AI agent capabilities.
• Build and foster an internal AI Agent developer community through knowledge sharing, workshops, and direct guidance.
• Develop and share best practices, reusable components, and documentation to empower other teams to build their own agents.
• Evangelize the potential of AI agents internally through demonstrations, workshops, and knowledge sharing; act as a change agent.
• Define key performance indicators (KPIs) and metrics to measure the success and ROI of implemented AI agents.
• Monitor agent performance, gather user feedback, and drive continuous improvement cycles.
• Report on CoE progress, outcomes, and value generated to senior leadership.
• Stay abreast of the latest advancements in AI, LLMs, agentic frameworks, prompt engineering, and enabling technologies.
• In collaboration with the Cloud Business Office and Technical Operations, evaluate and recommend appropriate cloud tools, platforms, and services to support AI agent development and deployment across the enterprise.
• Evaluate new tools and techniques for potential application within the enterprise context.

• 5+ years of proven experience in AI/ML, Data Science, or software engineering, focusing on building and deploying intelligent systems or automation.
• Demonstrated experience with Generative AI concepts, LLMs (e.g., GPT series, Claude, Llama), and related technologies (vector databases, embedding models, prompt engineering).
• Hands‑on experience developing AI‑driven applications, automations, or prototypes; specific experience building or working with AI agents or agentic frameworks (e.g., Lang Chain, CrewAI, Auto Gen, Microsoft Copilot Studio/Frameworks) is highly desirable.
• Strong ability to identify business problems/opportunities and translate them into tangible technical solutions.
• Proven ability to lead initiatives from concept to production, manage projects, and influence stakeholders in a corporate environment.
• Experience working collaboratively across technical and non‑technical teams, including infrastructure and operations teams.
• Experience operating in or establishing a CoE structure is a plus.
• Proficiency in Python and relevant AI/ML…