Forward Deployed Engineer, AI - Technology Strategy & Transformation
Ernst and Young1 day ago
Toronto, CanadaEntry Level / Mid Level
Responsibilities
- Collaborate with clients to identify high-value opportunities for generative AI, intelligent automation, and AI-enabled application modernization.
- Design, develop, and deploy AI-powered applications using large language models, retrieval-augmented generation, agentic workflows, and modern application frameworks.
- Build prototypes and proofs of concept and evolve successful solutions into secure, scalable production implementations.
- Integrate hosted and open-weight models with enterprise applications, business processes, data sources, APIs, and development workflows.
- Deploy open-weight models in client-controlled environments, including on-premises infrastructure with NVIDIA GPUs.
- Use AI tools to review legacy applications, identify cyber-attack risks and vulnerabilities, and recommend mitigation strategies.
- Translate client business needs into technical solutions and strategic outcomes through engagements, workshops, and presentations.
- Deliver value-realization and strategy work to help clients achieve measurable modernization benefits.
- Manage teams of 2–3 resources for project delivery.
Requirements
- 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, TypeScript, Java, C#, or .NET.
- Experience with AI-driven application development and modernization.
- Experience with 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 frontier models and managed AI services such as Azure OpenAI, OpenAI, or Anthropic Claude.
- Experience deploying or operating open-weight model families 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.
- Strong communication skills, client presentation experience, strategic thinking, and a focus on value delivery.
- Eligible for federal government security clearance.
- Preferred qualifications include a computer science degree or joint computer science and business degree, multiple technology-sector internships, hands-on application-development experience, and client-facing presentation experience.
Benefits
- Comprehensive medical, dental, prescription drug, and mental health coverage.
- Employee Assistance Program and group savings plans.
- Personal days, vacation days, firm-wide holidays, and the option to purchase additional vacation days.
- Exclusive learning programs and internal career development and advancement opportunities.
- Volunteering opportunities through EY Ripples.
- Toronto compensation is listed at CAD $90,500–$115,000 annually.
Tech Stack
Categories
Forward Deployed
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.