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

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 AI, Data & Engineering team helps apply cutting edge technology and techniques to bring solutions to our clients. No two days will be the same, and with constant research and development, youll find yourself building knowledge that can be applied across a wide range of projects now, and in the future. 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.
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. Well 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.
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 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
To excel in this role, you will need a blend of technical expertise and strong interpersonal skills. Consistently deliver quality client services focusing on more complex, judgmental and/or specialized issues surrounding emerging technology. Learn about EY and its service lines and actively assess and present ways to apply knowledge and services
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
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
~ 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
~ Strong relationship-building skills
~ Digital fluency and emotional agility
~ Commercial acumen and negotiation skills
~ Proven ability to lead teams and manage change

Masters degree Computer Science, Mathematics, Physical Sciences, or other quantitative field
Databricks Solution Architect Champion Badge preferred
Experience fine-tuning Generative AI models on Databricks, including with AI Runtime (serverless GPU)
Experience in managing complex projects with multiple stakeholders
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
Top performers demonstrate a commitment to excellence, a collaborative spirit, and a passion for driving innovation in the field of AI and data science. 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. 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.

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EY accepts applications for this position on an on-going basis.
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