AI and Data - Senior Consultant - AI Engineer
Ernst and Young5 days ago
Calgary, CanadaSenior
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, agentic AI, large language model, and small language model solutions.
- Build 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 real-world AI/ML problems at scale.
- Implement MLOps and LLMOps practices, including AI pipelines, microservices, cloud deployment, APIs, CI/CD, high availability, and low latency.
- Build AI governance and responsible AI controls, including model risk management and regulatory considerations.
- Collaborate with clients and internal technical and business stakeholders to deliver scalable AI solutions.
- Mentor junior team members and contribute to EY AI assets, accelerators, delivery standards, and go-to-market offerings.
Requirements
- A degree in Computer Science, Data Science, Engineering, or a related technical discipline is required; an MSc or PhD is advantageous.
- 3–8+ 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, AI agents, and production AI/ML solutions.
- Understanding of foundational statistics and mathematical modeling.
- Advanced object-oriented Python coding skills for production-level codebases.
- Familiarity with Java and TypeScript/JavaScript is a plus.
- Hands-on experience with Docker, Kubernetes, CI/CD pipelines, version control, and LLM observability and monitoring tools.
- Experience with API integration and development.
- Consulting or professional services experience is strongly preferred.
- Experience with AI governance, model risk management, and regulatory considerations is valued.
- Ability to troubleshoot hallucinations, retrieval gaps, context overflow, agent looping, latency, and other AI-specific failure modes.
Benefits
- Medical and dental coverage, pension and 401(k) plans, at least 15 vacation days, ten observed holidays, and three paid personal days.
- Training and development through established programs and on-the-job learning.
- Collaborative work environment with senior colleagues and workload-management support.
- Opportunity to manage a portfolio of talent within a designated service line.
- Additional programs supporting physical, financial, and social well-being.
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.