Toronto - Forward Deployed Engineer - Rapid Innovation Lab
Ernst and Young2 days ago
Toronto, CanadaSenior
Responsibilities
- Rapidly prototype and iterate on AI-powered solutions, intelligent agents, and workflow automations using Claude Code, GitHub Copilot, Cursor, and similar tools.
- Embed with tax and business teams to identify valuable, repeatable processes for automation.
- Develop integrations between AI solutions, enterprise applications, APIs, data platforms, business systems, and MCP servers.
- Hand validated solutions to engineering and platform teams with documentation and runbooks for hardening and enterprise deployment.
- Troubleshoot and refine pilot solutions using user feedback and usage data.
- Define and track success metrics such as hours saved, cost avoided, and revenue enabled, and recommend whether to scale, iterate, or stop.
- Apply security, data handling, governance, risk management, and Responsible AI standards, including human review of AI-generated code and outputs.
- Create reusable prompt libraries, templates, skills, and reference builds.
- Coach tax professionals and other non-engineers to build and iterate on solutions with AI tools.
- Collaborate with engineers, architects, and business teams to improve solution effectiveness, usability, and adoption.
Requirements
- Demonstrated fluency with AI-assisted development tools such as Claude Code, GitHub Copilot, and Cursor.
- 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 projects with real users or measurable impact is preferred.
- Practical software development skills using Python, SQL, or similar technologies.
- Experience with API development, integrations, and enterprise systems.
- Prompt and context engineering experience, including agent workflow design and output-quality evaluation.
- Experience with cloud platforms such as Microsoft Azure, AWS, or Google Cloud.
- Ability to take solutions from concept and prototype through user adoption and measurable value.
- Strong debugging, troubleshooting, communication, relationship-building, and problem-solving skills.
- Ability to translate technical concepts into business outcomes and teach colleagues without technical backgrounds.
- Understanding of security, governance, risk management, and Responsible AI principles.
- Familiarity with Microsoft Power Platform is preferred.
- Understanding of tax or professional services workflows is preferred.
- Training or experience in statistics, data science, or quality assurance, including sampling methodologies, error-rate analysis, and validation across large datasets, is preferred.
Benefits
- Competitive compensation package with performance-based recognition and a discretionary bonus program.
- Medical, prescription drug, and dental coverage.
- Defined contribution pension plan.
- Vacation policy, firm-paid days, statutory holidays, and paid personal days based on province of residence.
- Programs and benefits supporting physical, financial, and social well-being.
- Support and coaching from colleagues, learning opportunities, and flexibility in how the role is handled.
- The position is located in Toronto, Canada.
About Ernst and Young
Ernst & Young (EY) provides audit/assurance, tax, consulting, strategy and transactions services to enterprises, financial institutions, and public‑sector clients. Structured as a global network of partner‑owned member firms, it sells professional services on a fee basis, including a dedicated Financial Services Organization for banking, insurance, and capital markets. Headquartered in London, EY was formed in 1989 from the merger of Ernst & Whinney and Arthur Young, and operates in 150+ countries.