AI Engineering Consultant - Senior Manager - Consulting - Open Location
EY
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Benefits offered by this job
Job summary
Qualifications
- 8-10+ years of professional consulting experience.
- 3-5+ years of experience managing technical teams.
- Experience with Generative AI models deployment.
Responsibilities
- Research and implement AI systems tailored to business needs.
- Collaborate with data professionals for effective solutions.
- Lead client engagement and deliver high-quality services.
Skills
Education
Tools
Job description
Join to apply for the AI Engineering Consultant – Senior Manager – Consulting – Open Location role at EY.
Location: Anywhere in the 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.
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 build 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.
- Research, build, and implement scalable artificial intelligence systems that learn and make predictions tailored to diverse business requirements across various environments, including cloud and on‑premises.
- Enhance data pipelines and storage to ensure data is clean, accurate, and optimized for XOps processes.
- Monitor and optimize learning processes to continuously improve high‑performance models.
- Collaborate with data and analytics professionals to industrialize analysis into effective actionable analytics solutions.
- Lead engagement delivery and manage client relationships daily.
- Accountable for program/project management and engagement economics.
- Develop resource plans and budgets for engagements.
- Continuously improve processes by identifying innovative solutions through research and analysis.
- Manage professional employees and supervise teams to deliver complex technical initiatives, with accountability for performance and results.
- Engage actively with clients, participating in daily working sessions, and lead work streams from planning through execution to closure.
- Identify opportunities for additional services and manage engagement economics.
To excel in this role, you will need a blend of technical expertise, business acumen and strong interpersonal skills. Your ability to build and manage relationships will be crucial in driving client trust and value. This role will work to deliver tech at speed, innovate at scale and put humans at the center. Provide technical guidance and share knowledge with team members with diverse skills and backgrounds. Consistently deliver quality client services focusing on more complex, judgmental and/or specialized 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.
- Lead teams of AI engineers and data scientists to deliver modern Machine Learning and AI solutions for clients.
- Stay current on AI technology trends, industry innovations, and regulatory requirements; provide guidance on ModelOps tools and architectures that integrate with client ecosystems.
- Apply combined business and technical knowledge to design and implement ModelOps target architecture for scalable AI deployment and monitoring.
- Collaborate effectively with cross‑functional roles—Data Scientists, Engineers (Data, Cloud, MLOps, DevOps)—to implement and sustain solutions on client platforms.
- Understand clients’ data, AI, and technology landscape, along with business priorities and success measures.
- Build and maintain strong client relationships, deliver high‑quality services, and manage large‑scale engagements within time and budget.
- Demonstrate strong collaboration and consensus‑building skills, fostering constructive relationships in hybrid work environments.
- Solve complex problems using data‑driven decision‑making and computational thinking.
- Proficiency in deep learning, machine learning, programming, and data architecture design.
- Experience in cloud computing and technical design optimization.
- Communicate effectively, influence stakeholders, and negotiate with confidence.
- Proven ability to develop solutions for complex challenges and recommend policy or process improvements.
- Sound judgment in selecting methods and techniques to achieve results.
- Lead teams effectively and manage organizational change.
- Bachelor’s or Master’s degree in Business, Economics, Technology Entrepreneurship, Computer Science, Informatics, Statistics, Applied Mathematics, Data Science, or Machine Learning.
- 8‑10+ years of professional consulting experience in business or technology consulting or similar roles.
- 3‑5+ years of experience directly managing technical or consulting teams.
- Experience using and managing deployment of Generative AI models and frameworks (OpenAI family, open source LLMs, Dall‑e, LlamaIndex, Langchain, Retrieval Augmented Generation).
- Experience with popular ML packages such as scikit‑learn, PyTorch, ONNX.
- Extensive experience with DevOps tools like GIT, Azure DevOps, and Agile tools such as Jira.
- Understanding of Machine Learning workflows: ingesting, analysing, transforming data and evaluating results.
- Experience with MLOps methods and platforms such as MLFlow.
- Strong Python skills.
- Experience with CI/CD and test‑driven development.
- Experience designing, building, and maintaining ML models, frameworks, and pipelines.
- Experience deploying end‑to‑end ML workflows on at least one major cloud platform.
- Understanding of data structures, data modelling, and software engineering best practices.
- Proficiency with SQL, Pandas, and Spark.
- Clear communication of findings, recommendations, and improvement opportunities.
- Experience with containerization and scaling models.
- Willingness to travel for client obligations.
- Strong knowledge of AI technologies and frameworks.
- Excellent analytical, problem‑solving, and communication skills, and ability to articulate complex technical concepts to non‑technical stakeholders.
- Demonstrated leadership and project management experience with multidisciplinary teams.
- Team player.
- Leading business or IT transformation projects supporting data science, business intelligence, AI, and cloud applications at scale.
- Familiarity with regulatory frameworks and standards related to AI ethics, privacy, and data protection.
- Experience with Agile and/or Scrum delivery methods.
- Experience with design‑led thinking.
- Certifications in Microsoft, Databricks, AWS, NVIDIA, or Snowflake in Data & AI domain.
- Deep understanding and ability to teach concepts, tools, functions, benefits of different approaches.
- Master’s degree in Computer Science, Mathematics, Physical Sciences, or other quantitative field.
- Strong skills in languages beyond Python: R, JavaScript, Java, C++, C.
- Experience fine‑tuning Generative AI models.
- Strong leadership skills managing teams.
- Track record in client engagement and relationship management.
- Experience managing change and driving innovation.
We seek individuals who are passionate about technology and innovation. Top performers demonstrate a commitment to excellence, a collaborative spirit, and a passion for driving innovation in AI and data science. Your ability to collaborate effectively and communicate with clarity will set you apart as a leader in our team.
At EY, we’ll develop you with future‑focused skills and equip you with world‑class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams.
- Comprehensive compensation and benefits package: base salary range $144,000–$329,100 in the US with region‑specific ranges. Includes medical and dental coverage, pension and 401(k) plans, and paid time off options.
- Hybrid model: most people in client‑serving roles work in person 40‑60% of the time over engagements, projects, or years.
- Flexible vacation policy: you determine vacation time based on personal circumstances. Includes EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves.
Are you ready to shape your future with confidence? Apply today.
EY accepts applications for this position on an ongoing basis.
For those living in California, please click here for additional information.
EY focuses on high‑ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.
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.
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 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 ssc.customersupport@ey.com.
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