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Join a global workplace where employees thrive. One that embraces diversity of thought, expertise and experience. A place where you can personalize your employee journey to be — and deliver — your best.  

We are a purpose-driven, dynamic and sustainable pension plan. An industry leading global investor with teams in Toronto to London, New York, Singapore, Sydney and other major cities across North America and Europe. We embody the values of our 665,000 members, placing their best interests at the heart of everything we do.

Join us to accelerate your growth & development, prioritize wellness, build connections, and support the communities where we live and work.

Don’t just work anywhere — come build tomorrow together with us.

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Role Summary

We are looking for an innovative, hands-on Lead Agentic Automation Developer to join our Agentic Process Automation team and help shape the next generation of automation at OMERS.

As OMERS evolves from traditional robotic process automation toward intelligent, agentic automation, this role will be at the forefront of building end-to-end solutions that combine Robotic Process Automation (RPA), AI agents, generative AI, and integrations to solve meaningful business problems. You will help design and deliver automation solutions across corporate functions, capital markets, and private markets enabling teams to work faster, make better decisions, reduce manual effort, and unlock new ways of operating.

The successful candidate will possess a unique blend of business analysis, solution architecture, AI, and automation development skills, enabling them to identify opportunities, define requirements, recommend appropriate technologies, and deliver enterprise-grade agentic automation solutions. You will work across technologies including UiPath, Microsoft Copilot Studio, Azure AI Foundry, Power Platform, and other enterprise AI capabilities to build scalable, secure, and enterprise-ready automation and agentic solutions.

You will be responsible for:

• Design enterprise AI solutions leveraging Microsoft Copilot Studio, Azure AI Foundry, Azure AI Search, Microsoft 365 Copilot, and the broader Microsoft AI ecosystem.

• Develop autonomous and semi-autonomous AI agents by defining their scope, decision logic, guardrails, confidence thresholds, human-in-the-loop checkpoints, exception handling, and audit trails to enable effective reasoning, knowledge retrieval, decision-making, and task execution.

• Integrate AI agents with enterprise systems, APIs, databases, SaaS applications, and automation platforms.

• Design multi-agent workflows and orchestration patterns

• Design, develop, test, and deploy enterprise agentic process automation solutions that combine AI agents, RPA, integrations, and human-in-the loop leveraging UiPath, Power Platform, Microsoft Copilot Studio, Azure AI Foundry, Azure AI Search, Microsoft 365 Copilot, and the broader Microsoft AI ecosystem.

• Apply UiPath Cloud Platform and Power Platform expertise to fit-for-purpose opportunities leveraging capabilities such as UiPath Studio, Document Understanding, Integration Service, Action Center, Apps, Communications Mining, AI Center, Power Apps, and Power Automate.

• Participate in discovery workshops, solutioning and “art of the possible” discussions to analyze processes, identify automation opportunities and recommend a fit-for purpose platform or combination of tools based on complexity, maintainability, scalability, security, cost, risk, and business outcomes.

• Modernize existing RPA solutions by incorporating AI and agentic capabilities where appropriate.

• Define and execute testing strategies for automation and AI-enabled solutions, including functional, regression, integration, user acceptance, AI response validation, confidence threshold validation, exception scenarios, human review workflows, and model output verification.

• Prepare project documentation including solution designs, runbooks, deployment manifests, process maps, and technical specifications.

• Provide technical leadership through code reviews, development best practices, governance standards, and guidance to junior developers.

• 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.

Required Skills & Experience:

• 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.

Preferred Skills & Experience

• 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.

• 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.

We believe that time together in the office is important for OMERS and Oxford, the strength of our employees, and the work we do for our pension members. In delivering on our pension promise, keeping us connected to our work and each other, our flexible hybrid work guideline requires teams to come in to the office 4 days per week. 

You may also be eligible to receive an annual Incentive Award pursuant to our Short-term Incentive plan and our Long-Term Incentive plan (if applicable), and to participate in our group benefits and retirement plans – details on these elements of compensation are included within OMERS & Oxford offer letters.

As one of Canada’s largest defined benefit pension plans, our people-first culture is at its best when our workforce reflects the communities where we live and work — and the members we proudly serve.

From hire to retire, we are an equal opportunity employer committed to an inclusive, barrier-free recruitment and selection process that extends all the way through your employee experience. This sense of belonging and connection is cultivated up, down and across our global organization thanks to our vast network of Employee Resource Groups with executive leader sponsorship, our Purpose@Work committee and employee recognition programs.

Artificial intelligence (AI) tools are used to support certain stages of the OMERS recruitment process. While AI assists us in our process, human judgment and decision-making remain central to our candidate experience.