EY · 8 hours ago
AI Engineering & Strategy - Senior Manager - US Consulting
Irvine, CA
Full-time
Hybrid
Senior Level, Lead/Staff, Director/Executive
$144K/yr - $329K/yr
8+ years expEY is a globally connected powerhouse of diverse teams, seeking a Senior Manager in AI Engineering and Strategy to help clients leverage AI at scale. The role involves leading teams to develop and operationalize AI strategies, delivering modern machine learning solutions, and navigating the complex world of data science and analytics.
AccountingAdviceBusiness IntelligenceConsultingFinancial ServicesProfessional Services
Responsibilities
Developing and executing a comprehensive AI Strategy that aligns with the client’s goals, mission and vision
Leading teams of AI engineers and data scientists in delivery of modern Machine Learning and AI solutions for clients
Staying abreast of AI technology trends and provide directional guidance and recommendations around ModelOps tools and solutions that fit their needs and integrate with their existing ecosystem
Applying combined business and technical knowledge to develop and execute ModelOps target architecture that enables implementation and monitoring of AI at scale
Collaborating with Data Scientists, Data Engineers, Cloud Engineers, MLOps Engineers, DevOps to implement and sustain solutions in the client’s platform of choice
Staying abreast of industry trends, technology innovations and AI regulatory requirements across the globe
Understanding clients’ overall data, AI and technology landscape and business priorities and success measures
Strong team collaboration and experience working with a diverse team in a hybrid model (on site and remote)
Working on large-scale client engagements. Fostering relationships with client personnel at appropriate levels. Consistently delivering quality client services. Driving high-quality work products within expected timeframes and on budget
Collaborating, influencing and building consensus through constructive relationships and effective listening
Solving problems by incorporating data into decision making
Qualification
Required
Bachelor's degree, or MS degree in Business or Economics, Technology Entrepreneurship, Computer Science, Informatics, Statistics, Applied Mathematics, Data Science, or Machine Learning
Minimum of 8-10+ years of professional consulting experience in business or technology consulting or similar roles
Minimum of 3-5+ years of experience directly managing technical teams and/or consulting teams
Experience using and managing the deployment of Generative AI models and frameworks e.g. OpenAI family, open source LLMs, Dall-e, LlamaIndex, Langchain, Retrieval Augmented Generation (RAG)
Experience working with popular ML packages such as scikit-learn, Pytorch and ONNX, or related ML libraries
Extensive experience using DevOps tools like GIT, Azure Devops and Agile tools such as Jira to develop and deploy analytical solutions with multiple features, pipelines, and releases
A solid understanding of Machine Learning (ML) workflows including ingesting, analysing, transforming data and evaluating results to make meaningful predictions
Experience with MLOps methods and platforms such as MLFlow
Strong skills in Python
Experience with CI/CD and test-driven development
Experience designing, building, and maintaining ML models, frameworks, and pipelines
Experience designing and deploying end to end ML workflows on at least one major cloud computing platform
Understanding of data structures, data modelling and software engineering best practices
Proficiency using data manipulation tools and libraries such as SQL, Pandas, and Spark
Clearly communicating findings, recommendations, and opportunities to improve data systems and solutions
Experience with containerization and scaling models
Willingness to travel to meet client obligations
Strong knowledge of AI technologies and frameworks
Excellent analytical, problem-solving, and communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders
Demonstrated leadership and project management experience, with the ability to lead multidisciplinary teams and drive successful outcomes
Team player
Preferred
Experience in leading business or IT transformation projects that have supported data science, business intelligence, artificial intelligence, and cloud applications at scale
Familiarity with regulatory frameworks and standards related to AI ethics, privacy, and data protection
Working experience with Agile and/or Scrum methods of delivery
Working experience with design led thinking
Microsoft, Databricks, AWS, NVIDIA or Snowflake Certifications in the Data & AI domain
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
Strong skills in languages beyond Python: R, JavaScript, Java, C++, C
Experience fine-tuning Generative AI models
Benefits
Medical and dental coverage
Pension and 401(k) plans
Wide range of paid time off options
Flexible vacation policy
Designated EY Paid Holidays
Winter/Summer breaks
Personal/Family Care
Other leaves of absence when needed to support your physical, financial, and emotional well-being
Company
EY is building a better working world by creating new value for clients, people, society, the planet, while building trust in the capital markets.
10001+ employees
H1B Sponsorship
EY has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
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Trends of Total Sponsorships
2025 (10242)
2024 (9877)
2023 (10966)
2022 (9394)
2021 (5652)
2020 (8849)
Funding
Current Stage
Late StageLeadership Team
Jonathan Williamson
Chief Operating Officer
Abhishek Sen
Partner
Recent News
2026-01-16
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