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

Summary: Lead AI and machine learning engineering teams to deliver scalable solutions on the Databricks platform. Responsibilities include designing data pipelines, implementing generative AI and agentic systems, and managing multidisciplinary teams to drive business value through innovative technology.

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.

EY is experiencing significant growth in consulting services centered on Databricks, a market-leading data and AI platform. We are seeking an accomplished leader who combines strong business acumen, consulting experience, and technical credibility to help clients realize value from this strategic platform. In this role, you will collaborate with clients and Databricks account, sector, and leadership teams to shape and deliver generative AI use cases, advanced data and AI solutions, and scalable platforms.

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 on Databricks. You will enhance data pipelines and storage on Databricks, 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. You will deliver solutions on Databricks, from data pipelines to agents in production.

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.

Your responsibilities will include:

• Leading AI workstreams from solution design through production deployment and ongoing optimization, focusing on the Databricks platform
• Leading teams building data engineering pipelines, AI solutions (machine learning, generative AI, and agentic AI), and the pipelines that support AI solutions on Databricks
• Continuously improving processes by identifying innovative solutions through research and analysis
• Managing multidisciplinary teams to deliver complex AI engineering initiatives, with accountability for quality, responsible deployment, and results
• Engaging actively with clients, participating in daily working sessions, and leading workstreams from planning through execution to closure
• Designing, building, and governing domain ontologies and semantic models that define business concepts, relationships, and rules for AI solutions, knowledge graphs, and enterprise data products
• Applying a product-centric development approach by partnering with product, business, data science, and engineering stakeholders to define user needs, prioritize reusable capabilities, and iteratively deliver measurable outcomes across the product lifecycle
• 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 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

The following attributes will make a significant impact:

• Translating AI strategy into a implementable Model Engineering activities that aligns with the client’s goals, mission and vision
• Leading teams of AI engineers, data engineers, and data scientists in the delivery of production-grade solutions for clients on Databricks; These include data engineering pipelines, AI solutions (machine learning, generative AI, and agentic AI), and the pipelines that support AI solutions
• Implementing product-centric AI solutions on Databricks, from discovery and roadmap definition through iterative delivery, adoption, and continuous improvement, with measurable business and user outcomes.
• Working across design, build, deploy, and operate phases to deliver production-grade data and AI pipelines, governed business ontologies, and semantic models on Databricks, ensuring solutions are reliable, reusable, and aligned with client business processes
• Experience applying a product-centric development approach to data and AI solutions by defining user outcomes, prioritizing reusable capabilities, managing roadmaps and backlogs, incorporating user feedback, measuring adoption and business value, and continuously improving products after launch
• Staying abreast of AI technology trends and provide directional guidance and recommendations around AIOps, MLOps, and AgentOps tools and solutions on Databricks that fit their needs and integrate with their existing ecosystem
• Applying combined business and technical knowledge to develop and execute ModelOps target architecture on Databricks that enables implementation and monitoring of AI at scale, with tools like Unity Catalog and Model Serving
• Collaborating with Data Scientists, Data Engineers, Cloud Engineers, and Platform Engineers, DevOps to implement and sustain solutions in the Databricks platform
• 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)
• 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

To qualify for the role, you must have:

• A Bachelor’s degree required (4-year degree)
• 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
• 3-4 years of experience building and deploying production AI/ML solutions on the Databricks platform, including use of Agent Bricks, Model Serving, or Lakeflow Jobs
• Databricks Certification with a minimum of 1 professional and 1 associate certification that includes a combination of Data Engineer Associate or Professional, Machine Learning Associate or Professional, Generative AI Engineer Associate, and/or Context Engineering Associate
• Strong skills in Python, PySpark, and/or Scala
• 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, using Databricks
• Delivered models or agents to production on Databricks, with tracking, evaluation, and monitoring
• Proficient in foundation models, generative AI, and agentic AI frameworks (e.g., Retrieval Augmented Generation (RAG)) and experienced with ML packages like scikit-learn and PyTorch, using Databricks tools including Agent Bricks, AI Search, Foundation Model APIs, and Unity Gateway
• Experience with ~~~~ natural language processing and deep learning
• Extensive experience in DevOps tools (Git, Azure DevOps), AI-driven SDLC, and CI/CD pipelines for developing, deploying, and scaling analytical solutions on Databricks, for example with Databricks Git folders, Declarative Automation Bundles, and the Databricks CLI and SDKs
• Experience with MLOps, LLMOps, and AgentOps and ML workflows on Databricks, including data ingestion, transformation, and evaluation, for example with MLflow, Models in Unity Catalog, and Model Serving
• Experience with model retraining and feedback loop methodologies on Databricks, for example with Lakeflow Jobs and Databricks Feature Store
• Experience with model and solution evaluation, observability, monitoring, and reporting on Databricks, including MLflow evaluation and tracing, and data quality monitoring
• Understanding of data structures, data modeling, software engineering, and Responsible AI practices
• Experience designing, implementing, validating, and maintaining ontologies, taxonomies, knowledge graphs, or semantic data models in collaboration with domain experts
• Experience with product-centric development, including translating customer and business needs into product requirements, roadmaps, iterative releases, and measurable adoption or performance outcomes
• Strong foundation in mathematics, statistics, and operations research, with proficiency in data manipulation tools (SQL, Pandas, Spark) and deep learning techniques, using Databricks tools including Databricks SQL and Delta Lake
• Excellent communication skills for conveying findings and recommendations, with a 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

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
• Databricks Solution Architect Champion Badge preferred
• Experience working with diverse teams to deliver complex solutions
• Experience fine-tuning Generative AI models on Databricks, including with AI Runtime (serverless GPU)
• 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
• Databricks Certifications in the Data & AI domain, including Data Engineer Associate or Professional, Machine Learning Associate or Professional, Generative AI Engineer Associate, and/or Context Engineering Associate
• Experience building data and AI applications on Databricks, including with Databricks Apps or Lakebase Postgres

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 https://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.

Are you ready to shape your future with confidence? Apply today.

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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.

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All in to shape the future with confidence.

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