Forward Deployed Engineer, AI - Technology Strategy & Transformation

The opportunity

Key responsibilities

• Identify high-value client opportunities for generative AI, intelligent automation, and AI-enabled application modernization.
• Design, develop, and deploy AI-powered applications using LLMs, RAG, agentic workflows, and modern application frameworks.
• Build prototypes and proofs of concept, then help evolve successful solutions into secure, scalable production implementations.
• Integrate hosted and open-weight models into enterprise applications, business processes, data sources, APIs, and development workflows.
• Deploy open-weight models in client-controlled environments, including on-premises infrastructure equipped with NVIDIA GPUs.
• Use AI to review legacy applications, identify cyber-attack risks, and recommend mitigations.
• Translate client business needs into technical solutions and strategic outcomes; participate in client engagements, workshops, and presentations.
• Deliver value realization and strategy work so clients achieve measurable benefits from modernization.

Skills and experience

• 1–5 years of experience in AI engineering, software engineering, application development, technology consulting, or related delivery roles, including relevant co-op or internship experience.
• Diploma or degree in computer science, engineering, information systems, data science, business technology, or a related field, or equivalent practical experience.
• Strong software-development fundamentals and experience building or integrating enterprise applications.
• Hands-on programming experience with one or more of Python, JavaScript or TypeScript, Java, or C# and .NET.
• Experience with AI-driven application development and modernization; GitHub, GitHub Copilot, Visual Studio Code, APIs, source control, automated testing, and CI/CD pipelines.
• Familiarity with Model Context Protocol clients, servers, tools, resources, and secure integration patterns.
• Experience integrating managed AI services such as Azure OpenAI, OpenAI, Anthropic Claude, or comparable platforms, and deploying or operating open-weight models such as Llama, Mistral, Gemma, or Nemotron.
• Experience with Docker and familiarity with Kubernetes or another container-orchestration platform.
• Ability to analyze legacy systems for security vulnerabilities using AI; experience managing teams of 2–3 resources for project delivery.
• Strong communication and experience presenting technology strategy to clients; must be eligible for federal government security clearance.

Additional qualifications

• A computer science degree or a joint degree in computer science and business is preferred.
• Multiple technology-sector internships with hands-on application-development experience are preferred.
• Client-facing experience and experience supporting presentations are preferred.

Salary range

• The stated Toronto salary range is CAD 90,500 to CAD 115,000; no compensation cadence is specified.

Benefits

• Benefits include medical, dental, and prescription drug coverage, mental health benefits, an Employee Assistance Program, group savings plans, time off, learning programs, career-development opportunities, and volunteering opportunities.

About EY