AI and Data - Manager - AI Engineer
Ernst and Young7 days ago
Calgary, CanadaStaff+
Responsibilities
- Design and implement production-grade agentic AI workflows using agent orchestration, AI gateways, observability, controls, and guardrails.
- Build retrieval-augmented generation pipelines using chunking, embedding models, vector stores, and re-ranking.
- Develop and integrate generative AI, agentic AI, large language model, and small language model solutions.
- Create evaluation frameworks and production telemetry to measure quality, consistency, model drift, latency, output quality, and cost.
- Apply machine learning, deep learning, statistics, and mathematical modeling to solve AI/ML problems at scale.
- Implement MLOps and LLMOps practices, including AI pipelines, microservices deployment, APIs, and cloud operations.
- Build AI governance, model risk management, and responsible AI controls.
- Collaborate with business stakeholders, AI architects, platform engineers, and data scientists on client engagements.
- Mentor junior team members and contribute to AI assets, accelerators, delivery standards, and go-to-market offerings.
Requirements
- Degree in Computer Science, Data Science, Engineering, or a related technical discipline; an MSc or PhD is advantageous.
- 5-8+ years of AI development experience, including at least two 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, AI agents, and production AI/ML solution deployment.
- Advanced object-oriented Python programming skills for production codebases.
- Understanding of foundational statistics and mathematical modeling.
- Hands-on experience with Docker, Kubernetes, CI/CD pipelines, version control, and LLM observability or monitoring tools.
- Experience with API integration and development.
- Familiarity with Java, TypeScript, or JavaScript is preferred.
- Experience with AI governance, model risk management, and regulatory considerations is required.
- Consulting or professional services experience is strongly preferred.
- Strong analytical, troubleshooting, mentoring, leadership, and stakeholder-management capabilities.
Benefits
- 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.
- A collaborative environment with senior colleagues and varied workload management.
- Opportunity to manage a portfolio of talent within a designated service line.
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.