AI and Data - Manager - AI Engineer

EY Canada; Calgary; On-site; CAD 110,000 - 160,000; Full time

Benefits offered by this job

Medical and dental coverage

Pension plan

401(k) plan

Paid vacation (15 days)

Job summary

EY Canada seeks an AI Engineer to design and build production-grade AI and agentic AI solutions for clients. You will work across engagements with business stakeholders, AI Architects, and Data Scientists to translate complex challenges into practical, scalable AI systems.

The role focuses on developing AI/ML pipelines, governance, observability, and cost-aware deployment in cloud environments, driving measurable business outcomes with responsible AI practices.

Qualifications

• Degree in CS/DS/Engineering (MSc/PhD advantageous).
• 5–8+ years in AI development; 2+ years on production-grade AI/agentic solutions.
• Hands-on ML/DL algorithm development at scale.
• Strong experience with AI libraries and frameworks.
• Foundational statistics and mathematical modeling knowledge.
• Advanced Python for production code; Java/TS familiarity is a plus.
• Experience building and deploying AI agents and AI/ML solutions.
• Containerisation with Docker/Kubernetes; CI/CD and observability tools.

Responsibilities

• Design and implement production-grade agentic AI workflows across client engagements.
• Build and optimise retrieval pipelines for RAG and agentic workflows.
• Develop Generative/Agentic AI solutions using LLMs/SLMs.
• Create evaluation frameworks and telemetry to monitor model performance and costs.
• Apply ML/DL methods to real-world AI/ML problems at scale across environments.
• Implement MLOps/LLMOps and cloud deployment with CI/CD for high availability.
• Establish AI governance and responsible AI controls.
• Mentor junior team members and contribute to EY AI assets and standards.

Skills

AI/ML development

Agentic AI design

Python production code

Docker

Kubernetes

CI/CD pipelines

LLMs/SLMs

RAG pipelines

Observability

Education

Bachelor's degree in Computer Science, Data Science, Engineering

Tools

LangGraph

CrewAI

Docker

Kubernetes

CI/CD tooling

Vector stores

Job description

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

As AI Engineer, you will design and build production-grade AI and agentic AI solutions that solve real business problems for EY's clients. You are the core builder on the delivery team, responsible for AI/ML pipelines, agentic workflows, multi-agent coordination, evaluation frameworks, observability and governance that ensure AI solutions work in production.

The opportunity

You will work across complex client engagements designing and implementing AI/ML and agentic AI solutions end to end. You will work closely with business stakeholders, AI Architect, AI Platform Engineers, and Data Scientists to translate complex business challenges into practical, scalable, and responsible AI solutions through maintainable architectural. You will have the opportunity to influence executive stakeholders and help clients responsibly adopt agentic AI to drive measurable business outcomes.

This job posting relates to an existing vacancy within our organization.

Your key responsibilities

• Design and implement production-grade agentic AI workflows using open frameworks such as LangGraph, CrewAI, proprietary cloud-based agentic platforms, including agent orchestration, AI gateways (i.e. MCP, A2A), observability, controls and guardrails.
• Build and optimise retrieval pipelines for Retrieval Augmented Generation (RAG) and agentic workflows, including chunking strategies, embedding models, vector store integration, and re-ranking to ground agent outputs in accurate, current enterprise data.
• Develop and integrate Generative/Agentic AI solutions using large and small language models (LLMs and SLMs).
• Build evaluation frameworks to measure AI solution quality, consistency, and implement telemetry and monitoring to track model drift, latency, output quality, and cost metrics in production.
• Leverage machine learning/deep learning algorithms and foundational statistical concepts to solve real-world AI/ML problems at scale
• Implement best practices for MLOps, LLMOps, across experimental and production environments, including AI pipeline and microservices deployment into cloud environments, APIs, CI/CD, ensuring high availability and low latency.
• Build AI governance and responsible AI controls for AI systems
• Mentor junior team members and contribute to EY AI assets, accelerators, delivery standards, and go-to-market offerings in AI/ML, agentic and generative AI

Skills and attributes for success

• Deep experience designing and building agentic AI systems in enterprise environments.
• Analytical mindset to troubleshoot AI-specific failure modes, model hallucinations, retrieval gaps, context overflow, agent looping, and system latency and engineer reliable solutions around them.
• Experience with AI governance, model risk management, and regulatory considerations in complex or regulated industries.
• Adapts quickly to fast-moving environments with frequent updates in AI frameworks, agentic tool patterns, LLM capabilities, and cloud platform services

To qualify for the role, you must have

• A degree in Computer Science, Data Science, Engineering or related technical discipline (MSc/PhD is an advantage).
• 5-8+ years of AI development experience, with at least 2 years focused on building and maintaining production grade AI/ML or agentic AI solutions.
• Hands-on experience in developing machine learning and deep learning algorithms at scale
• Deep experience working with AI/ML libraries and frameworks
• Understanding of foundational statistics and mathematical modeling
• Advanced object-oriented coding skills in Python for production-level codebases. Familiarity with Java, TypeScript/JavaScript is a plus.
• Hands-on experience building and deploying AI agents and AI/ML solutions.
• Hands-on experience with containerisation (Docker, Kubernetes), CI/CD pipelines, and version control for AI systems; working knowledge of LLM observability and monitoring tools.
• Experience in API integration and development.
• Consulting or professional services experience is strongly preferred.

What we look for

We’re interested in passionate leaders with a strong vision and a desire to stay on top of trends in the IT Advisory space. If you have a strong passion for helping businesses achieve their IT strategy, this role is for you.

What we offer

We offer a competitive compensation package where you’ll be rewarded based on your performance and recognized for the value you bring to our business. In addition, our Total Rewards package includes medical and dental coverage, both pension and 401(k) plans, a minimum of 15 days of vacation plus ten observed holidays and three paid personal days, and a range of programs and benefits designed to support your physical, financial and social well-being. Plus, we offer:

• The opportunity to manage a portfolio of talent within a designated service line
• A collaborative environment where everyone works together to create a better working world
• Excellent training and development prospects, both through established programs and on-the-job training
• An excellent team of senior colleagues, dedicated to managing and varying your workload

EY reports salary ranges in accordance with applicable provincial pay transparency legislation. Individual salaries within the anticipated salary ranges noted below are determined through a wide variety of factors including but not limited to internal equity, education, relevant experience, knowledge, and applicable skill sets.

Salary Range:

$110,000 to $160,000

Inclusiveness at EY

Inclusiveness is at the heart of who we are and how we work. We’re committed to fostering an environment where differences are valued, policies and practices are equitable, and our people feel a sense of belonging. We embrace diversity and are committed to combating systemic racism, advancing gender equity and women in leadership, advocating for the 2SLGBTQIA+ community, promoting our neuroinclusion and accessibility initiatives, and are dedicated to amplifying the voices of Indigenous peoples (First Nations, Inuit, and Métis) nationally as we strive towards reconciliation. Our diverse experiences, abilities, backgrounds, and perspectives make our people unique and help guide us. Because when people feel free to be their authentic selves at work, they bring their best and are empowered to build a better working world.

Learn about our commitment to Inclusiveness at https://www.ey.com/en_ca/about-us/corporate-responsibility/equity

EY | Building a better working world

EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.

Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.

Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

At EY, we use artificial intelligence (AI) tools as one element of our recruitment process to enhance efficiency and improve the candidate experience. While AI supports us in our process, human judgment and decision-making remain integral in our candidate experience. We are committed to the responsible use of AI, and our practices are continuously reviewed and refined to ensure they align with the highest ethical principles and regulatory requirements.

To all recruitment agencies: EY does not accept unsolicited resumes from recruitment agencies. Any resumes submitted without a prior agreement or request from our hiring team will not be considered. EY is not responsible for any fees related to unsolicited resumes.