AI & Machine Learning Engineering Consultant - Manager - Consulting - Location OPEN
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Location : Anywhere in Country.
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Technology – Data and Decision Science – AI Native Engineering
The opportunity
Our Artificial Intelligence and Data 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 learn 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 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 artificial intelligence systems that learn and make predictions 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 AI Native 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 the latest data science and big data 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.
- Leading workstream delivery and ensuring effective management of processes and projects.
- Continuously improving processes by identifying innovative solutions through research and analysis.
- Managing professional employees and supervising teams to deliver complex technical initiatives, with accountability for performance 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
Proven ability to develop solutions to complex problems and recommend changes to policies and procedures.Strong judgment 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 organization.Qualifications
A Bachelor’s degree (4‑year degree).6‑10 years of relevant full‑time experience in AI, Data Science, and / or Machine Learning.2‑4 years of experience directly managing technical teams.Strong skills in Python.Ability to 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.Proficiency in Generative AI models and frameworks (e.g., OpenAI, DALL‑E, LangChain, Retrieval Augmented Generation).Experience with natural language processing and deep learning.Extensive experience in DevOps tools (GIT, Azure DevOps), Agile methodologies (Jira), and CI / CD pipelines.Experience with MLOps and ML workflows, including data ingestion, transformation, and evaluation.Experience with model retraining and feedback‑loop methodologies.Experience with model and solution monitoring and reporting.Understanding of data structures, data modelling, and software engineering best 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 willingness to travel for client engagements.Skills in Technical Design Optimization.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.Preferred
Deep understanding of and ability to teach concepts, tools, and benefits of different approaches.Master's degree in Computer Science, Mathematics, Physical Sciences, or other quantitative field.Experience working with diverse teams to deliver complex solutions.Strong skills in languages beyond Python (R, JavaScript, Java, C++, C).Experience fine‑tuning Generative AI models.Experience in managing complex projects with multiple stakeholders.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 Offer You
Comprehensive compensation and benefits package : base salary range in the US $125,500‑$230,200 (adjusted for location). Total Rewards include medical, dental, pension, 401(k), and paid time off.Hybrid work model : most external, client‑serving roles work together in person 40‑60% of the time.Flexible vacation policy : you decide how much vacation time you need.Legal Notice
EY provides equal employment opportunities to applicants and employees without regard to race, color, 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.
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