{"id":3358380,"url":"https://alion.io/job/ey-ai-machine-learning-engineering-consultant-databricks-senior-consulting-location-open","title":"AI & Machine Learning Engineering Consultant - Databricks - Senior - Consulting - Location OPEN","company":{"id":2859,"name":"EY","domain":"ey.com","url":"https://alion.io/company/ey-com","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Alpharetta, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":128400,"max":192500,"currency":"USD","period":"year","gross":null,"usd_annual":192500},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AgentOps","optional":false},{"name":"AI Agents","optional":false},{"name":"AIOps","optional":false},{"name":"Azure DevOps","optional":false},{"name":"Context Engineering","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"Feature Store","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Git","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"LLMOps","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"Pandas","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"Scala","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Azure","optional":true}],"status":"live","first_seen_at":"2026-10-27T20:32:17Z","employer_posted_date":"2026-10-27","last_verified_at":"2026-11-06T04:07:24Z","board_verified":true,"closed_at":null,"days_open":9,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":9},"description":"Location: Anywhere in Country\nAt EY, we’re all in to shape your future with confidence.\nWe’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.\nThe opportunity\nOur 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.\nEY 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.\nAs a Senior AI Engineer, you will be at the forefront of revolutionizing how businesses leverage artificial intelligence. Your role will involve researching, building, and implementing scalable AI, machine learning, generative AI, and agentic systems on Databricks that learn, reason, and generate outputs tailored to diverse business environments. You will enhance data pipelines to ensure data integrity and optimize learning processes, all while collaborating with a talented team of data and analytics professionals. You will deliver AI solutions on Databricks, from data pipelines to agents in production.\nYour key responsibilities\nIn this role, you will contribute significantly to the delivery of innovative AI solutions. 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.\nYou 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.\nYou will spend your time on key responsibilities that include:\nResearching and implementing scalable machine learning, generative AI, and agentic systems that meet business requirements\nBuilding data engineering pipelines, AI solutions (machine learning, generative AI, and agentic AI), and the pipelines that support AI solutions on Databricks\nEvaluating, monitoring, and optimizing learning processes on Databricks to improve high-performance models, with tools like MLflow evaluation and tracing\nDesigning, building, and governing domain ontologies and semantic models that define business concepts, relationships, and rules for AI solutions, knowledge graphs, and enterprise data products\nThis position may have travel requirements as needed to engage with external clients regularly\nSkills and attributes for success\nTo excel in this role, you will need a blend of technical expertise and interpersonal skills. Your ability to navigate complex challenges and deliver impactful solutions will be essential.\nThis 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.\nTranslating AI strategy into a implementable Model Engineering activities that aligns with the client’s goals, mission and vision \nWorking with teams of AI engineers, data engineers, and data scientists to deliver production-grade data engineering pipelines and AI solutions-including machine learning, generative AI, and agentic AI-for clients on Databricks\nImplementing product-centric AI solutions on Databricks, from discovery and roadmap definition through iterative delivery, adoption, and continuous improvement, with measurable business and user outcomes\nWorking across design, build, deploy, and operate phases to deliver production-grade data and AI pipelines, including governed business ontologies and semantic models on Databricks, so solutions remain reliable, reusable, and aligned with client business processes\nApplying 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\nStaying 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\nApplying 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\nCollaborating with Data Scientists, Data Engineers, Cloud Engineers, and Platform Engineers, DevOps to implement and sustain solutions in the Databricks platform\nUnderstanding clients’ overall data, AI and technology landscape and business priorities and success measures\nStrong team collaboration and experience working with a diverse team in a hybrid model (on site and remote)\nWorking 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\nCollaborating, influencing and building consensus through constructive relationships and effective listening\nSolving problems by incorporating data into decision making \nTo qualify for the role, you must have:\nA Bachelor’s degree required (4-year degree).\n3-6 years of full-time working experience in AI and/or Machine Learning\nDatabricks 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\nStrong skills in Python, PySpark, and/or Scala\nAbility to collaborate and communicate effectively with diverse, hybrid, and global teams.\nExperience designing, building, and maintaining high-impact, high-value production AI/ML solutions on a major cloud platform using Databricks\nAt least two years of experience building and deploying production AI/ML solutions on Databricks, including experience with Agent Bricks, Model Serving, or Lakeflow Jobs.\nDelivered models or agents to production on Databricks, with tracking, evaluation, and monitoring.\nProficient 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\nExperience with natural language processing and deep learning\nExtensive experience in DevOps tools (Git, Azure DevOps) and AI-driven SDLC for developing, deploying, and scaling analytical solutions on Databricks, for example with Databricks Git folders, Declarative Automation Bundles, and the Databricks CLI and SDKs\nExperience 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\nExperience with model retraining and feedback loop methodologies on Databricks, for example with Lakeflow Jobs and Databricks Feature Store\nExperience evaluating and operating models and AI solutions on Databricks, including observability, monitoring, reporting, MLflow evaluation and tracing, and data quality monitoring.\nUnderstanding of data structures, Responsible AI practices, and data modelling, and software engineering best practices\nStrong foundation in mathematics, statistics, and operations research, with proficiency in data manipulation tools (SQL, Pandas, Spark) and deep learning techniques, using Databricks tools such as Databricks SQL and Delta Lake, using Databricks tools such as Databricks SQL and Delta Lake.\nExcellent communication skills for conveying findings and recommendations, with willingness to travel as needed for client engagements.\nIdeally, you’ll also have:\nMaster's degree Computer Science, Mathematics, Physical Sciences, or another quantitative field\nDatabricks Solution Architect Champion Badge preferred\nExperience in hybrid collaboration and emotional agility\nA track record of working with diverse teams to drive outcomes through complex problem-solving of working with diverse teams to drive outcomes through complex problem-solving\nKnowledge of sustainability practices in technology\nA deep understanding of and ability to teach concepts, tools, features, functions, and benefits of different approaches to apply them\nExperience fine-tuning Generative AI models on Databricks, including with AI Runtime (serverless GPU)\nExperience with image processing techniques and/or speech and audio processing and analysis\nWhat we look for\nWe seek individuals who are not only technically proficient but also possess the qualities of a top performer. You should be innovative, adaptable, and purpose driven by a desire to make a significant impact in the field of artificial intelligence. Your ability to collaborate effectively and communicate with clarity will set you apart as a leader in our team.\nWhat we offer you\nAt 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 ey.com/us/careers.\nThe salary range for this job is:New York City, Boston, and Washington DC Metro Areas, Washington State, and Southern California offices - $128,400 to $192,500\nBay Area California offices - $133,600 to $200,600\nAll other offices locations in the US, including Sacramento - $106,900 to $176,500\n\nIndividual 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.\nAre you ready to shape your future with confidence? Apply today.\nTo...","description_format":"text","description_chars":14212,"description_truncated":true,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[]},"benefits":["Continuous learning"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Audit & Assurance Firms","Financial Advisory, Valuation & Restructuring","Management Consulting","Tax Advisory & Preparation"],"lifecycle":[{"event":"open","at":"2026-10-27T20:32:17Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.897,"p_room":1,"age_days":9,"expected_fill_days":28,"reasons":["conf:1","velocity","win:early","comp:brand"],"computed_at":"2026-11-06T05:58:05Z"},"pay":{"stated_usd_annual":192500,"is_top_pay":false},"html_url":"https://alion.io/job/ey-ai-machine-learning-engineering-consultant-databricks-senior-consulting-location-open","json_url":"https://alion.io/job/ey-ai-machine-learning-engineering-consultant-databricks-senior-consulting-location-open.json","meta":{"generated_at":"2026-11-06T07:18:27Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":12956,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-07T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":2859},"rest":"https://alion.io/mcp/rest/get_company?id=2859"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fey-ai-machine-learning-engineering-consultant-databricks-senior-consulting-location-open"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fey-ai-machine-learning-engineering-consultant-databricks-senior-consulting-location-open"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fey-ai-machine-learning-engineering-consultant-databricks-senior-consulting-location-open"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/ey-ai-machine-learning-engineering-consultant-databricks-senior-consulting-location-open\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fey-ai-machine-learning-engineering-consultant-databricks-senior-consulting-location-open"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3358380}},{"tool":"search_jobs","arguments":{"company":"ey.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3358380},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. Docs: https://alion.io/developers"}}