AI & Machine Learning Engineering Consultant - Manager - Consulting - Location OPEN

AI & Machine Learning Engineering Consultant - Manager - Consulting - Location OPEN

Location: New York

Other locations: Anywhere in Country

Date: Sep 29, 2026

Requisition ID: 1747115

Location: Anywhere in Country

At EY, we’re all in to shape your future with confidence.

We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.

The opportunity

Our AI, Data & Engineering team helps apply cutting edge technology and techniques to bring solutions to our clients. As part of that, you’ll sit side‑by‑side with clients and diverse teams from EY to create a well‑rounded approach to advising and solving challenging problems, some of which have not been solved before. No two days will be the same, and with constant research and development, you’ll find yourself building knowledge that can be applied across a wide range of projects now, and in the future. You’ll need to have a passion for continuous learning, stay ahead of the trends, and influence new ways of working so you can position solutions in the most relevant and innovative way for our clients. You can expect heavy client interaction in a fast‑paced environment and the opportunity to develop your own career path for your unique skills and ambitions.

In this role, you will research, build, and implement scalable AI, machine learning, generative AI, and agentic systems that learn, reason, and generate outputs tailored to business requirements across various environments, including cloud and on‑premises. You will enhance data pipelines and storage, ensuring data is clean, accurate, and optimized for XOps processes. Additionally, you will monitor and evaluate learning processes to continuously improve high‑performance models, collaborating with other data and analytics professionals to industrialize analysis into effective analytics solutions.

Your key responsibilities

As a Manager in Model Engineering, you will play a pivotal role in delivering innovative solutions that drive business success. You will work with a wide variety of clients to deliver modern AI engineering, machine learning, and generative AI technologies. Your teams will design and build scalable solutions that unify, enrich, and derive insights from varied data sources across a broad technology landscape. You will help our clients navigate the complex world of modern data science, analytics, and software engineering. We’ll look to you to provide guidance and perform technical development tasks to ensure AI solutions are responsibly engineered, evaluated, deployed, and maintained to support the ongoing business needs of our clients.

You will be joining a dynamic and interdisciplinary team of scientists and engineers who love to tackle the most challenging computational problems for our clients. We love to think creatively, build applications efficiently, and collaborate in both the ideation of solutions and the pursuit of new opportunities. Many on our team have advanced academic degrees or equivalent experience in industry.

• Leading AI workstreams from solution design through production deployment and ongoing optimisation.
• Continuously improving processes by identifying innovative solutions through research and analysis.
• Managing multidisciplinary teams to deliver complex AI engineering initiatives, with accountability for quality, responsibly deployed, and results.
• Engaging actively with clients, participating in daily working sessions, and leading workstreams from planning through execution to closure.
• Identifying opportunities for additional services and managing engagement economics.

Skills and attributes for success

To excel in this role, you will need a blend of technical expertise and strong interpersonal skills. This role will work to deliver tech at speed, innovate at scale and put humans at the centre. Provide technical guidance and share knowledge with team members with diverse skills and backgrounds. Consistently deliver quality client services focusing on more complex, judgemental and/or specialised issues surrounding emerging technology. Demonstrate technical capabilities and professional knowledge. Learn about EY and its service lines and actively assess and present ways to apply knowledge and services. The following attributes will make a significant impact:

• Proven ability to develop solutions to complex problems and recommend changes to policies and procedures.
• Strong judgement in selecting methods and techniques for obtaining results.
• Experience in managing client relationships and delivering high‑quality service.
• Ability to lead teams effectively and manage change within the organisation.

To qualify for the role, you must have:

• 6-10 years of relevant experience of full-time working experience in AI, Data Science, and/or Machine Learning
• 2-4 years of experience directly managing technical teams
• Strong skills in Python
• Ability lead, collaborate, and communicate effectively with diverse, hybrid and global teams
• Experience designing, building, and maintaining high-impact, high-value production AI/ML solutions on a major cloud platform
• Proficient in foundation models, generative AI, and agentic AI frameworks (e.g., OpenAI, Dall‑e, Langchain, Retrieval Augmented Generation (RAG)) and experienced with ML packages like scikit‑learn and PyTorch
• Experience with natural language processing and deep learning
• Extensive experience in DevOps tools (GIT, Azure DevOps), Agile methodologies (Jira), and CI/CD pipelines for developing, deploying, and scaling analytical solutions
• Experience with MLOps, LLMOps, and AgentOps and ML workflows, including data ingestion, transformation, and evaluation
• Experience with model retraining and feedback loop methodologies
• Experience with model and solution evaluation, observability, monitoring, and reporting
• Understanding of data structures, data modelling, software engineering, and Responsible AI practices
• Strong foundation in mathematics, statistics, and operations research, with proficiency in data manipulation tools (SQL, Pandas, Spark) and deep learning techniques
• Excellent communication skills for conveying findings and recommendations, with a willingness to travel for client engagements
• Skills in Technical Design Optimisation
• Strong relationship‑building skills
• Demonstrated client trust and value
• Digital fluency and emotional agility
• Commercial acumen and negotiation skills
• Proven ability to lead teams and manage change

Ideally, you’ll also have:

• A deep understanding of and ability to teach concepts, tools, features, functions, and benefits of different approaches to apply them
• Master's degree Computer Science, Mathematics, Physical Sciences, or other quantitative field
• Experience working with diverse teams to deliver complex solutions
• Experience fine‑tuning Generative AI models
• Experience in managing complex projects with multiple stakeholders
• A strong understanding of industry trends and emerging technologies
• Skills in data visualization and storytelling with data
• Experience with image processing techniques and/or speech and audio processing and analysis

What we look for

We seek individuals who are not only technically proficient but also possess the ability to think critically and creatively. Top performers demonstrate a commitment to excellence, a collaborative spirit, and a passion for driving innovation in the field of AI and data science. Your ability to collaborate effectively and communicate with clarity will set you apart as a leader in our team.

What we offer you

At EY, we harness our collective strength to empower you to shape your future with confidence through professional growth, personal fulfillment and an inclusive culture. Learn more at ey.com/us/careers .

• The salary range for this job is:
  • New York City, Boston, and Washington DC Metro Areas, Washington State, and Southern California offices – $150,700 to $251,200
  • Bay Area California offices – $157,100 to $261,600
  • All other offices locations in the US, including Sacramento – $125,500 to $230,200
• Individual salaries within these ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.

EY | Building a better working world

EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.

Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.

EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

All in to shape the future with confidence.

EY provides equal employment opportunities to applicants and employees without regard to race, colour, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.

EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at View email address on click.appcast.io .

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