Agentic AI Engineer

7 days ago

Toronto, Ontario, Canada BULLIT SYSTEMS Full time $120,000 - $180,000 per year

Responsibilities


• Architect and lead development of scalable, production-grade agentic AI systems.


• Design serverless, event-driven workflows using Azure Functions, Logic Apps, and Power Automate.


• Build and optimize ML models for predictive analytics, anomaly detection, and recommendations using Azure ML, Databricks, and Python.


• Integrate agents with enterprise platforms such as SAP HANA, Salesforce, Snowflake, Kafka, and UiPath.


• Ensure observability and reliability through Azure Monitor, logging, and alerting frameworks.


• Define and enforce architecture patterns, reusable components, and governance standards.


• Lead code reviews, technical design sessions, and agile ceremonies.


• Leverage Microsoft AI Foundry to build and deploy agents that meet enterprise-grade standards.________________________________________

Leadership Responsibilities


• Mentor and coach junior engineers, fostering a culture of innovation and technical excellence.


• Drive cross-team collaboration and alignment on agentic AI strategy and execution.


• Own delivery timelines, quality benchmarks, and stakeholder communication.


• Champion best practices in DevOps, CI/CD, and model lifecycle management.


• Stay ahead of trends in AI, machine vision, and IoT to guide strategic decisions.

________________________________________

Cross-Functional Collaboration

Work closely with:


• Data Scientists & ML Engineers – for model development and integration


• Product Managers & UX Designers – aligning agent capabilities with user needs


• Enterprise Architects & DevOps Engineers – ensuring scalability and deployment efficiency


• Security & Compliance Teams – meeting regulatory and governance requirements


• Business Stakeholders & SMEs – defining use cases and validating outcomes


• Change Management & Enablement Teams – supporting adoption and training efforts

________________________________________

Technology & Tools


• Languages & Platforms: Python, Power Apps, Power Automate, Databricks, Snowflake


• Enterprise Systems: SAP HANA, Kafka, UiPath


• AI Platforms: Microsoft AI Foundry (highly preferred), Copilot Studio (optional)


• Cloud & ML Tools: Azure Machine Learning, Azure DevOps, GitHub


• Data & Observability: Vector Databases, Azure Monitor


• Vision & IoT: Azure IoT Hub, OpenCV, TensorFlow, PyTorch (for edge and vision-based agents)

________________________________________

What You Bring


• Proven experience leading AI engineering teams and delivering enterprise-grade solutions


• Strong technical depth in AI/ML, cloud platforms, and agentic system design


• Ability to navigate ambiguity, drive clarity, and influence across functions


• Passion for building transformative AI systems that solve meaningful problems

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