Lead, Automation Developer (Agentic AI & Automation)
$86,000–$130,000 year
HybridToronto, Ontario, Canada
Job Summary
Design enterprise AI solutions leveraging Microsoft Copilot Studio, Azure AI Foundry, and the broader Microsoft AI ecosystem. Develop autonomous and semi-autonomous AI agents by defining scope, decision logic, guardrails, and human-in-the-loop checkpoints to enable reasoning and task execution. Integrate these agents with enterprise systems, APIs, and databases while designing multi-agent workflows and orchestration patterns. Apply UiPath Cloud Platform and Power Platform expertise to modernize existing RPA solutions and build scalable, secure automation. Participate in discovery workshops to analyze processes, identify automation opportunities, and recommend appropriate technologies based on complexity and business outcomes. Define testing strategies for AI-enabled solutions, including functional, regression, and model output verification, while preparing comprehensive project documentation. Provide technical leadership through code reviews, governance standards, and guidance to junior developers. Own the end-to-end lifecycle of automation solutions, ensuring operational stability and availability. Partner with AI Delivery, Data, and Enterprise Architecture teams to implement advanced AI patterns and reusable intelligence services.
Required Qualifications
- Hands-on experience developing AI Agents using Microsoft Copilot Studio, Azure AI Foundry, or similar agentic platforms
- Experience with Microsoft 365 Copilot extensibility and declarative agents
- 3+ years of advanced hands-on experience with UiPath and Intelligent Automation technologies to build intelligent and agentic automation solutions
- Understanding of prompt engineering, prompt configuration, AI service consumption patterns, confidence scoring, retrieval-augmented generation (RAG), and responsible AI principles
- Experience designing Human-in-the-Loop (HITL) workflows for AI-enabled solutions
- Knowledge of AI governance, explainability, auditability, monitoring, escalation paths, and exception handling
- Experience building automated testing frameworks and quality assurance processes for automation and AI solutions
- Ability to assess and recommend technology platforms and solution architectures based on business objectives, risk, scalability, maintainability, and total cost of ownership
- Strong communication skills with technical and non-technical stakeholders
- Experience facilitating workshops, partner engagement sessions, and solution design discussions
- Ability to mentor developers and perform code reviews
- Own the end-to-end lifecycle of automation solutions, including development, maintenance, support, upgrades, operational stability, and availability
- Partner with AI Delivery, AI Strategy, Data, Security, and Enterprise Architecture teams when solutions require advanced AI patterns, reusable intelligence services, custom model components, or deeper AI architecture expertise
- Experience in both business analysis/process improvement and software development roles
- Experience conducting requirements gathering sessions, business process analysis and mapping, stakeholder workshops, process assessments, and SME interviews
- Experience implementing enterprise agentic AI solutions using multi-agent architectures
- Must be able to lift 50 lbs
Desired Qualifications
- Certifications in Microsoft AI, Azure AI, Copilot Studio, Business Analysis, or related technologies
- Exposure to Responsible AI, AI governance, model evaluation, and AI operationalization
- UiPath Solution Architect or UiPath Agentic Automation Professional Certification
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