AI Agent Developer

Overview

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Geotab is a global leader in IoT and connected transportation and certified “Great Place to Work.” We are a company of diverse and talented individuals who work together to help businesses grow and succeed, and increase the safety and sustainability of our communities. Geotab advances security, connects commercial vehicles to the internet, and provides web-based analytics to help customers manage fleets.

Our open platform and Geotab Marketplace offer hundreds of third-party solution options that automate operations by integrating vehicle data with other data assets. We process billions of data points daily and use data analytics and machine learning to improve productivity, optimize fleets, and enhance driver safety while complying with regulations.

Our team is growing and we’re looking for people who follow their passion, think differently, and want to make an impact. Geotabers work in a fast-paced, ever-changing environment and are willing to take on new tasks and activities that may not be described in the initial job description. Join us for a fulfilling career with opportunities to innovate, great benefits, and our fun and inclusive work culture.

To see what it’s like to be a Geotabber, check out our blog and follow us @Inside Geotab on Instagram. Join our talent network to learn more about job opportunities and company news.

Geotab is seeking an AI Agent Developer who will drive the internal AI Agent Centre of Excellence (CoE) by identifying, developing, and deploying AI agents to solve internal business challenges and deliver measurable ROI. If you love technology and are keen to join an industry leader, we would love to hear from you!

As an AI Agent Developer your key area of responsibility will be identifying, developing, and deploying AI agents to solve internal business challenges and deliver measurable ROI. You will work closely with the existing Generative AI product team and other business units across the enterprise to accelerate the adoption of AI agents internally through high-impact projects. You will be a self-starter with a strong ability to identify opportunities for AI agent applications and have deep technical skills in AI agent development with a focus on delivering measurable business impact.

• In concert with executive AI stakeholders across the organization, develop and implement the vision, strategy, and operating model for the internal AI Agent CoE, mirroring successful aspects of the Data CoE.
• Define governance frameworks, best practices, and standards for internal AI agent development, deployment, and maintenance.
• Develop best practices for inclusion of knowledge into our agents (note: knowledge management at Geotab is not in scope).
• Establish processes for identifying, prioritizing, and managing a portfolio of internal AI agent use cases.
• Partner with business units to understand processes, pain points, and opportunities for AI agent application.
• Identify and qualify high-potential use cases where AI agents can deliver 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 with the GenAI team to understand and leverage their agentic platform, tools, and expertise for internal use cases, ensuring synergy.
• Collaborate with platform, legal, compliance, security, and data governance to ensure agents adhere to 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…