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Agent In Charge Jobs in Ontario (NOW HIRING)

Charger Logistics Inc

Senior AI Engineer

Brampton, ON · On-site

Charger logistics Inc. is a world- class asset-based carrier with locations across North America ... Background in MCP, agent orchestration frameworks, knowledge graphs, or streaming data systems is a ...

Charger Logistics Inc

Senior AI Engineer

Brampton, ON · On-site

Charger logistics Inc. is a world- class asset-based carrier with locations across North America ... Background in MCP, agent orchestration frameworks, knowledge graphs, or streaming data systems is a ...

Acara Solutions

Electrical Technician

Toronto, ON

Must be willing to work outside in all weather conditions, as well as in a 24-hour, 7 days a week ... AI agent role is to help speed up your hiring process by answering questions, confirming basic ...

Ataccama

Senior Deal Desk Analyst

Toronto, ON · On-site

Powered by the ONE AI Agent, Ataccama ONE brings autonomy to data quality and governance ... Recognized as a Leader in the 2026 Gartner Magic Quadrant for Augmented Data Quality and positioned ...

Autodesk

Senior AI Developer

Toronto, ON · On-site

Drive and participate in code and document reviews, mentoring team in best practices * Interpret ... Vous serez charge de concevoir et de mettre en uvre des fonctionnalites d'intelligence artificielle ...

All JobsAgent In Charge JobsAgent In Charge Jobs in Ontario

Agent In Charge information

What are the responsibilities of an Agent in Charge?

An Agent In Charge is typically responsible for overseeing the operations and personnel within a specific office or division, often within law enforcement or federal agencies. They manage staff, coordinate investigations, ensure compliance with policies, and serve as the point of contact between upper management and field agents. Their role includes administrative duties, training oversight, and ensuring the effective execution of the agency's mission. The Agent In Charge plays a critical leadership role in maintaining discipline, efficiency, and operational success.

How does an Agent in Charge balance supervisory duties with fieldwork responsibilities?

As an Agent In Charge, you will often need to juggle managerial tasks—such as overseeing agents, coordinating investigations, and ensuring compliance with protocols—alongside participating in active field operations. This balance requires strong delegation skills, effective time management, and the ability to shift focus between administrative oversight and hands-on investigative work. Successful Agents In Charge typically establish clear communication channels and prioritize regular briefings to stay informed on both team progress and case developments. Emphasizing teamwork and empowering agents helps ensure that both leadership and operational goals are met efficiently.

What are the key skills and qualifications needed to thrive as an Agent in Charge, and why are they important?

To thrive as an Agent In Charge, you need strong leadership abilities, investigative experience, and typically a bachelor's degree in criminal justice or a related field. Familiarity with law enforcement databases, case management systems, and possibly specialized certifications (such as those from the FBI or DEA) is often required. Exceptional decision-making, communication, and team management skills help you excel in coordinating operations and guiding agents. These skills ensure effective oversight, operational efficiency, and the successful completion of complex investigations.

What is the difference between Agent In Charge vs Security Supervisor?

AspectAgent In ChargeSecurity Supervisor
Required CredentialsSecurity license, training certificationsSecurity license, supervisory training
Work EnvironmentSecurity agencies, law enforcement supportPrivate security teams, corporate security
Employer & Industry UsageSecurity firms, law enforcement agenciesPrivate companies, security firms
Common Search & ComparisonYesNo

In summary, an Agent In Charge typically holds specific licensing and works within security agencies or law enforcement support roles, focusing on operational responsibilities. A Security Supervisor oversees security staff and manages security protocols within private or corporate settings. While both roles require security credentials, their scope and work environment differ significantly.

Agent In Charge jobs near you

Senior AI Engineer

Brampton, ON • On-site

Charger Logistics Inc
51 - 200 employees
Learn more about Charger Logistics Incexternal

Full-time

Posted 14 days ago

Job description

Charger logistics Inc. is a world- class asset-based carrier with locations across North America. With over 20 years of experience providing the best logistics solutions, Charger logistics has transformed into a world-class transport provider and continue to grow.

We are looking for a highly motivated AI Engineer to join our team based out of our Brampton office and contribute to the development of AI-driven solutions for various departments. This role focuses on building production AI agents and MCP (Model Context Protocol) integrations that automate real logistics workflows-dispatch, billing, compliance, and fleet operations-improving the reliability, transparency, and efficiency of AI applications in real-world, high-stakes environments.

Responsibilities:

  • Design, develop, and deploy MCP servers exposing domain services as AI-consumable tools with proper authentication, observability, and error handling.
  • Build multi-agent workflows using orchestration frameworks and agent-to-agent communication protocols for complex logistics automation.
  • Develop and optimize knowledge retrieval pipelines using RAG, KAG, and CAG strategies-selecting the right approach based on query complexity, data volatility, and domain reasoning requirements.
  • Design hybrid retrieval architectures that route between CAG for static reference data, RAG for dynamic operational queries, and KAG for multi-hop reasoning across structured domain knowledge.
  • Implement LLM integration layers-prompt engineering, function calling, structured output parsing, and model routing for domain accuracy.
  • Collaborate with cross-functional teams to collect requirements and translate operational workflows into agent capabilities.
  • Deploy and maintain agent infrastructure on Kubernetes with GitOps practices and observability tooling.

Requirements

  • 2-3 years of experience with Bachelor's in Computer Science, Artificial Intelligence, or a related technical field.
  • Strong communication skills and experience working in interdisciplinary or team-based environments.
  • Solid understanding of REST APIs, microservices architecture, and AI/ML concepts.
  • Experience building production-grade AI applications in Python-not just notebooks or prototypes.
  • Hands-on proficiency with LLM integration: function calling, tool use, structured outputs (OpenAI, Anthropic, or Google APIs).
  • Solid understanding of knowledge retrieval patterns including RAG (Retrieval-Augmented Generation), with familiarity of emerging approaches like KAG (Knowledge-Augmented Generation) and CAG (Cache-Augmented Generation).
  • Proficiency with SQL and at least one analytical data platform (BigQuery, Snowflake, or similar).
  • Experience with cloud platforms and container orchestration (Kubernetes).
  • Background in MCP, agent orchestration frameworks, knowledge graphs, or streaming data systems is a strong asset.

Benefits

  • Competitive Salary
  • Healthcare Benefit Package
  • Career Growth

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