.NET Developer - AI & Agent Enablement

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Overview

At KPMG, you’ll join a team of diverse and dedicated problem solvers, connected by a common cause turning insight into opportunity for clients and communities around the world.

We are seeking a .NET Developer with strong experience in modern web and API development, and hands‑on exposure to AI-enabled technologies, including Microsoft AI Foundry, Model Context Protocol (MCP), and Large Language Models (LLMs).

This role is primarily responsible for designing and building enterprise‑grade .NET applications and APIs, while enabling AI‑powered capabilities and agent workflows across the Microsoft ecosystem, including Power Platform and Copilot Studio.

What You Will Do

• Design, develop, and maintain .NET (C#) web applications, APIs, and backend services using modern architectural patterns.
• Build and integrate AI-enabled services using Foundry, including secure model access, orchestration, and observability.
• Implement MCP servers and clients to enable tool‑calling, data access, and agent interoperability.
• Integrate and consume LLMs (e.g., OpenAI, Azure OpenAI, Gemini, Anthropic) with appropriate prompt design, grounding, and guardrails.
• Develop secure, scalable API integrations supporting AI agents, Copilot extensions, and downstream systems.
• Collaborate with Power Platform teams to support Power Apps, Power Automate, and Copilot Studio solutions through custom connectors, APIs, and backend services.
• Ensure applications meet security, compliance, and performance standards, including secrets management, identity, and access control.
• Participate in code reviews, CI / CD pipelines, testing, deployment, and hyper care support.

What You Bring To The Role

• Strong interpersonal, verbal, and written communication skills, with the ability to explain technical concepts to non‑technical stakeholders.
• Proven ability to manage multiple priorities, balance competing deadlines, and work effectively in fast‑paced environments.
• Experience working in cross‑functional teams, including architects, security, product owners, and business stakeholders.
• Hands‑on experience in Agile / Scrum development environments, including sprint planning, stand‑ups, and retrospectives.
• Strong attention to detail with a commitment to delivering high‑quality, maintainable solutions.
• Solid understanding of SDLC and Application Lifecycle Management (ALM), including requirements, design, development, testing, deployment, and support.
• Bachelor’s degree in Computer Science, Software Engineering, Information Technology, or a related field (or equivalent practical experience).

Technical Skills

• 4+ years of professional experience as a .NET Developer (C#, ASP.NET Core, Web APIs).
• Strong experience with RESTful APIs, authentication / authorization (OAuth, Entra ID), and cloud‑native design.
• Hands‑on experience or strong working knowledge of AI Foundry or equivalent AI service runtimes.
• Experience implementing or consuming MCP for agent‑tool integration.
• Solid understanding of LLMs, including Model capabilities and limitations, prompt engineering concepts & RAG and tool‑calling patterns.
• Experience integrating backend services with Power Platform and Copilot Studio (custom connectors, APIs, actions).
• Familiarity with Azure services (App Services, Functions, Storage, Key Vault, APIM).
• Strong understanding of secure coding practices and enterprise governance requirements.

This position requires written and oral fluency in English. The successful candidate will be required to support or collaborate with English‑speaking colleagues or stakeholders nationally in our English speaking provinces while at KPMG.

KPMG BC Region Pay Range Information

The expected base salary range for this position is $63,000 to $95,500 and may be eligible for bonus awards. The determination of an applicant’s base salary within this range is based on the individual’s location, skills & competencies, and unique qualifications. In addition, KPMG offers a comprehensive and competitive Total Rewards program.

KPMG Ontario Region Pay Range Information

The expected base salary range for this position is $63,000 to $95,500 and may be eligible for bonus awards. The determination of an applicant’s base salary within this range is based on the individual’s location, skills & competencies, and unique qualifications. In addition, KPMG offers a comprehensive and competitive Total Rewards program.

Providing you with the support you need to be at your best

KPMG in Canada is a proud equal opportunities employer and we are committed to creating a respectful, inclusive and barrier‑free workplace that allows all of our people to reach their full potential. A diverse workforce is key to our success and we believe in bringing your whole self to work. We welcome all qualified candidates to apply and hope you will choose KPMG in Canada as your employer of choice.

Our Values, The KPMG Way

Integrity , we do what is right | Excellence , we never stop learning and improving | Courage , we think and act boldly | Together , we respect each other and draw strength from our differences | For Better , we do what matters

Adjustments and accommodations throughout the recruitment process

At KPMG, we are committed to fostering an inclusive recruitment process where all candidates can be themselves and excel. We aim to provide a positive experience and are prepared to offer adjustments or accommodations to help you perform at your best. Adjustments (informal requests), such as extra preparation time or the option for micro breaks during interviews, and accommodations (formal requests), such as accessible communication supports or technology aids, are tailored to individual needs and role requirements. You will have an opportunity to request an adjustment or accommodation at any point throughout the recruitment process. If you require support, please contact KPMG’s Employee Relations Service team by calling 1-888-466-4778.

AI Usage

We embrace the use of artificial intelligence (AI) to enhance the candidate experience and streamline our recruitment processes. AI tools may help with organizing applications or surfacing relevant qualifications. However, no hiring decisions are made using AI. Every hiring decision is made by our hiring managers and recruitment professionals, who are equipped with training that empowers them to use these tools responsibly. AI technologies used in our recruitment process undergo detailed risk assessments, including security and privacy requirements, that align with KPMG’s Trusted AI framework. We believe technology should empower human judgment, not replace it. It’s one of the many ways we’re delivering on our vision of being a technology‑first, people‑driven firm.

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