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Ernst & Young

Global professional services: consulting, assurance, tax

Toronto – Forward Deployed Engineer - Rapid Innovation Lab

AI Application EngineeringPosted on Nov 10
Full-timeToronto, ON, CanadaIn-person

About the Job

Requirements

  • Demonstrated fluency with AI-assisted development tools such as Claude Code, GitHub Copilot, or Cursor as a primary way of working, with sound judgment about when to trust and verify AI output.
  • Hands-on experience building, deploying, or operationalizing AI agents, agentic workflows, copilots, or generative AI solutions in business environments.
  • A portfolio of quickly built and shipped work, such as side projects, hackathon entries, or workplace tools, ideally with real users or measurable impact.
  • Practical software development skills using Python, SQL, or similar technologies.
  • Experience with API development, integrations, and enterprise systems.
  • Prompt and context engineering skills, including designing agent workflows and evaluating output quality.
  • Experience working with cloud platforms such as Microsoft Azure, AWS, or Google Cloud.
  • Ability to take solutions from concept and prototype to user adoption and measurable value, including knowing when to stop.
  • Strong debugging, troubleshooting, and problem-solving skills.
  • Ability to translate technical concepts into practical business outcomes and teach and coach colleagues without a technical background.
  • Understanding of security, governance, risk management, and Responsible AI principles.

Responsibilities

  • Rapidly prototype and iterate on AI-powered solutions, intelligent agents, and workflow automations supporting tax and business transformation initiatives, using AI-assisted development tools to move from idea to working demo in days.
  • Embed with tax and business teams to understand challenges and identify high-value, repeatable processes worth solving.
  • Develop custom integrations between AI solutions, enterprise applications, APIs, data platforms, and business systems, including MCP servers.
  • Hand off validated solutions to engineering and platform teams for hardening and enterprise-scale deployment, with clear documentation and runbooks.
  • Troubleshoot and refine solutions during pilots based on user feedback and usage data.
  • Define success metrics for each build, track results, and recommend whether to scale, iterate, or stop.
  • Apply firm security, data-handling, and Responsible AI standards to every build, including human review of AI-generated code and outputs.
  • Contribute reusable assets such as prompt libraries, templates, skills, and reference builds so the lab’s results compound over time.
  • Collaborate with engineers, architects, and business teams to continuously improve solution effectiveness, usability, and adoption.
  • Coach tax professionals and other non-engineers to build and iterate on their own solutions with AI tools.
  • Stay current on emerging AI technologies, AI coding tools, agent frameworks, and automation platforms to identify new opportunities for innovation.

Desired Qualifications

  • Familiarity with low-code or workflow automation platforms such as Microsoft Power Platform.
  • Understanding of tax or professional services workflows.
  • Training or experience in statistics, data science, or quality assurance, including sampling methodologies, error-rate analysis, and validating outputs across large data sets.

About the Company

Ernst & Young

Global professional services: consulting, assurance, tax

EY (Ernst & Young) provides professional services at a global scale, offering consulting, assurance, tax, and transaction advisory services. It serves clients across industries such as technology, media, real estate, hospitality, and construction. Instead of selling a single product, EY works with clients through tailored engagements where cross-disciplinary teams analyze challenges, design strategies, perform audits, help with tax planning, and assist with mergers or divestitures. What sets EY apart is its worldwide reach and integrated service model, industry-specific expertise, and focus on responsible business practices like sustainability, cybersecurity, and workforce flexibility. EY’s goal is to help organizations improve performance, manage risk, and achieve sustainable growth while building a better working world.

Company size
5,001-10,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Boston, MA
Founded
1991

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