Forward Deployed Engineer - Model Engineering - Manager - Consulting

Position: Forward Deployed Engineer - Model Engineering - Manager - Consulting - OPEN Location
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.

In this role, you will work directly with clients to diagnose business and process problems, identify high-value AI opportunities, and research, build, and implement scalable AI, machine learning, generative AI, and agentic systems that learn, reason, and generate outputs tailored to business requirements across various environments, including cloud and on-premises. You will enhance data pipelines and storage, ensuring data is clean, accurate, and optimized for XOps processes.

Additionally, you will monitor and evaluate learning processes to continuously improve high-performance models, owning delivery through production and collaborating with other data and analytics professionals to industrialize analysis into effective analytics solutions.

** Your key responsibilities*
* As a Forward Deployed Engineer Manager, you will serve as a forward-deployed technical leader who shapes and delivers 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 lead client discovery and solutioning, provide guidance and remain hands-on in technical development 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 and expansion of new opportunities. Many on our team have advanced academic degrees or equivalent experience in industry.

** Your responsibilities will include:*
* + Leading client-embedded AI work streams from opportunity identification and process diagnosis through solution design, production deployment, value measurement, and ongoing optimization.

+ Redesigning client processes for human-AI collaboration and continuously improving delivery by identifying innovative solutions through research, rapid prototyping, and analysis.

+ Managing lean, multidisciplinary teams to deliver complex AI engineering initiatives, while remaining close to architecture and build decisions and maintaining accountability for quality, responsible deployment, economics, and results.

+ Building trust with business and technology stakeholders, participating in daily client working sessions, and leading product and agile delivery from planning through execution and closure.

+ Demonstrating realized value, identifying adjacent use cases and opportunities for additional specialists or services, supporting solution demonstrations and proposals, and managing engagement economics.

+ Defining solution architecture and guiding hands-on development of agentic workflows, orchestration logic, memory, retrieval, reusable components, APIs, MCP connectors, and agent-to-agent integrations.

+ Establishing evaluations, observability, control-plane governance, access…