AI and Data - Manager, AI/ML Engineer

The opportunity

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

As a Manager in AI/ML Team, you will play a critical leadership role in designing, delivering and scaling AI-driven solutions for our clients. You will lead teams, engage with senior client stakeholders, and translate complex business challenges into secure, ethical and high‑impact AI/ML solutions. This role combines hands‑on technical expertise with solution leadership, people development and client relationship management.

Your key responsibilities

• Lead and manage end‑to‑end delivery of AI/ML engagements, from use‑case identification and solution design through development, testing, deployment and optimization.
• Partner with client leadership and key stakeholders to understand strategic business objectives, operating models and technology landscapes that AI solutions will support.
• Collaborate closely with architects, data scientists, engineers and cross‑functional teams to design robust, scalable AI/ML solutions that integrate seamlessly with clients’ existing technology stacks.
• Provide technical and delivery leadership to project teams, including coaching junior team members and overseeing quality, timelines and outcomes.
• Establish and enforce AI development and testing standards, including functional, performance, security, privacy, explainability and ethical considerations.
• Stay current on emerging AI/ML tools, platforms, frameworks and regulations, and proactively assess their applicability to client engagements.
• Identify and mitigate delivery risks, including model bias, data quality issues, security concerns and regulatory implications.
• Support business development activities, including contributing to proposals, estimates, solution architectures and thought leadership.

Skills and attributes for success

• Strong analytical and problem‑solving skills with the ability to translate ambiguity into structured, actionable AI solutions.
• Proven ability to lead teams and influence stakeholders across technical and non‑technical audiences.
• Strong communication and presentation skills, with confidence engaging at senior client and executive levels.
• Ability to manage multiple concurrent priorities, balancing delivery, people leadership and client expectations.
• A growth mindset with a passion for continuous learning and innovation in AI and data‑driven technologies.

To qualify for the role you must have

• Bachelor’s degree in Computer Science, Engineering, Data Science or a related field.
• 6+ years of experience delivering AI/ML solutions, including leadership of project teams; prior experience in professional services or consulting is an asset.
• Strong hands‑on experience with cloud‑based AI/ML services (AWS, Azure and/or GCP).
• Advanced proficiency in Python and experience with AI/ML frameworks such as TensorFlow, PyTorch or Scikit‑learn.
• Experience designing and executing testing strategies for AI/ML systems, including functional, performance and model‑level validation.
• Solid understanding of MLOps practices, version control (e.g., Git) and CI/CD pipelines for AI systems.
• Experience working in Agile delivery environments.

Ideally, you’ll also have

• Deep understanding of AI testing methodologies, including bias and fairness testing, robustness testing, explainability and security testing.
• Hands‑on experience with Large Language Models (LLMs), Natural Language Processing (NLP) and generative AI frameworks.
• Familiarity with AI‑specific testing and monitoring tools such as DeepChecks or similar platforms.
• Experience with API design, integration and deployment of AI‑enabled services.
• Experience working with clients operating nationally and globally.

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 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.