AI and Data - Manager - AI Engineer
Ernst and Young1 month ago
Toronto, CanadaStaff+
Responsibilities
- Design and implement production-grade agentic AI workflows using agent orchestration, AI gateways, observability, controls, and guardrails.
- Build and optimize RAG and retrieval pipelines using chunking, embedding models, vector stores, and re-ranking.
- Develop and integrate generative AI and agentic AI solutions using large and small language models.
- Create evaluation frameworks and production telemetry to measure quality, consistency, model drift, latency, and cost.
- Apply machine learning, deep learning, statistics, and mathematical modeling to AI problems at scale.
- Implement MLOps and LLMOps practices, including cloud deployment of AI pipelines and microservices, APIs, CI/CD, high availability, and low latency.
- Build AI governance and responsible AI controls, including model risk and regulatory considerations.
- Mentor junior team members and contribute to EY AI assets, accelerators, delivery standards, and go-to-market offerings.
- Work with clients, business stakeholders, AI architects, platform engineers, and data scientists to deliver scalable AI solutions.
Requirements
- A degree in Computer Science, Data Science, Engineering, or a related technical discipline is required; an MSc or PhD is advantageous.
- 5-8+ years of AI development experience, including at least 2 years building and maintaining production-grade AI/ML or agentic AI solutions.
- Hands-on experience developing machine learning and deep learning algorithms at scale.
- Deep experience with AI/ML libraries and frameworks, foundational statistics, and mathematical modeling.
- Advanced object-oriented Python coding skills for production codebases.
- Familiarity with Java and TypeScript/JavaScript is a plus.
- Hands-on experience building and deploying AI agents and AI/ML solutions.
- Experience with Docker, Kubernetes, CI/CD pipelines, version control, and LLM observability and monitoring tools.
- Experience in API integration and development.
- Experience with AI governance, model risk management, and regulatory considerations is expected.
- Consulting or professional services experience is strongly preferred.
- Strong leadership, stakeholder influence, analytical troubleshooting, and ability to adapt to rapidly changing AI technologies.
Benefits
- Competitive compensation based on performance and value contribution.
- Medical and dental coverage, pension and 401(k) plans, at least 15 vacation days, 10 observed holidays, and three paid personal days.
- Training and development through established programs and on-the-job learning.
- Collaborative environment with senior colleagues and varied workload management.
- Opportunity to manage a portfolio of talent within a designated service line.
- Toronto salary range of $110,000 to $160,000.
Categories
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.