Forward Deployed Engineer – Senior Manager - Model Engineering, Consulting, OPEN Location

EY delivers unparalleled cross functional tech consulting services in artificial intelligence, machine learning, generative AI, agentic AI, and cloud engineering.  We always support and enable big ideas with the ambition to keep doing more. We leverage leading practices and a high degree of business acumen that has been compiled over years of experience to ensure the highest level of execution and satisfaction for our clients.  Our Artificial Intelligence and Data teamhelps 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. Come help define the future of AI.

The opportunity

EY is significantly investing in their award-winning AI, Data & Engineering practice. You will enter complex client environments, help clients identify high-value AI opportunities, and translate their ambition into working solutions at scale and drive better business outcomes. You will work with a wide variety of clients to deliver the latest data science and big data 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 forward-deployed engineering leadership and consulting services to ensure AI solutions are shaped, engineered, deployed, operated, measured, and expanded to support the ongoing business needs of our clients.

This is a high growth area and a high visibility role with plenty of opportunities to enhance your skillset and build your career.  We are looking for leaders who connect AI strategy and business value to hands-on engineering, deployment, operation, and scaling of AI and Machine Learning Operations capabilities

Your key responsibilities

As a Forward Deployed Engineer Senior Manager, 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. 

You will be leading lean, client-embedded engineering teams working with a wide variety of clients to diagnose opportunities, shape, engineer, operationalize, prove value from, and scale their AI strategy at scale. 

Skills and attributes for success

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.

• Translating AI strategy, client process challenges, and value hypotheses into a prioritized, scalable Model Engineering roadmap that aligns with the client’s goals, mission, vision, and measurable outcomes
• Leading teams of forward-deployed AI engineers and data scientists in the end-to-end delivery of production-grade machine learning, generative AI, and agentic AI solutions while staying close to architecture and critical build decisions
• Staying abreast of AI technology trends and providing directional guidance and recommendations around AI-native development tools such as Claude, Codex, Cursor, and GitHub, as well as MLOps, LLMOps, and AgentOps tools and solutions that fit client needs and integrate with existing ecosystems
• Applying combined business, product, commercial, and technical knowledge to develop and execute ModelOps and agentic control-plane target architectures that enable implementation, evaluation, governance, monitoring, and optimization of AI at scale
• Collaborating with Data Scientists, Data Engineers, Cloud Engineers, MLOps, LLMOps, and platform 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, technology, process, and operating-model landscape, business priorities, value baselines, and success measures
• Strong team collaboration and experience working with a diverse team in a hybrid model (on site and remote)
• Leading large-scale client engagements and entering new client environments as a trusted engineering leader. Fostering relationships with client personnel at appropriate levels, consistently delivering quality client services, demonstrating realized value, and identifying adjacent opportunities for broader specialist support or expanded work.
• Leading opportunity qualification, solution demonstrations, proposals, commercial discussions, and delivery economics for forward-deployed AI engineering work.
• Establishing evaluation, observability, identity, authorization, human-oversight, security, Responsible AI, incident-response, and cost-management standards for production agentic systems.
• Developing reusable engineering patterns, accelerators, and forward-deployed talent that can land independently and mobilize broader multidisciplinary pods as client needs expand.
• 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:

• 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 foundation models, generative AI, and agentic AI 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, LLMOps, and AgentOps methods and platforms such as MLFlow.
• Strong skills in Python.
• Experience with CI/CD and test-driven development.
• Experience identifying, solutioning, designing, building, evaluating, deploying, operating, measuring value from, and expanding ML models, generative AI systems, agentic workflows, 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, Responsible AI, evaluation methods, 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, earn executive client trust, shape commercial opportunities, and drive measurable outcomes
• Team player

Ideally, you’ll also have:

• 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.

What we look for:

• You have an agile, growth-oriented mindset.What you know matters. But the right mindset is just as important in determining success. We’re looking for people who are innovative, can work in an agile way and keep pace with a rapidly changing world.
• You are curious and purpose driven. We’re looking for people who see opportunities instead of challenges, who ask better questions to seek better answers that build a better working world.
• You are inclusive. We’re looking for people who seek out and embrace diverse perspectives, who value differences, and team inclusively to build safety and trust. 

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 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 – $172,800 to $359,000
  • Bay Area California offices – $180,000 to $374,000
  • All other offices locations in the US, including Sacramento – $144,000 to $329,100
• 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.                                          

• To make the most of your application experience, please limit yourself to two applications within a six-month period.
• EY accepts applications for this position on an on-going basis.
• For those living in California, please click herefor additional information.
• At EY, our values set the foundation for how we work and the behaviors we expect of our people.  Any misrepresentation or falsification of information or lack of integrity at any point in the recruiting process may result in withdrawal of your candidacy, revocation of an offer or immediate termination of employment.

EY  |  Building a better working world

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All in to shape the future with confidence.

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