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

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. 

As a Senior Forward Deployed Engineer, you will be at the forefront of revolutionizing how businesses leverage artificial intelligence. Your role will involve working 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 diverse business environments, whether in the cloud or on-premises. You will enhance data pipelines to ensure data integrity and optimize learning processes, while owning delivery from solution shaping through deployment and collaborating with a talented team of data and analytics professionals.

Your key responsibilities 

In this role, you will contribute significantly to the end-to-end delivery of innovative AI solutions, from client discovery and solutioning through production operation and value measurement. 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 work hands-on with clients, 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 and expansion of new opportunities. Many on our team have advanced academic degrees or equivalent experience in industry. 

You will spend your time on key responsibilities that include:

• Working with client stakeholders to translate ambiguous business and process challenges into scoped opportunities, then researching and implementing scalable machine learning, generative AI, and agentic systems that meet business requirements.
• Designing AI-native applications, agentic workflows, reusable tools, connectors, and integrations while enhancing data pipelines and storage for optimal data accuracy and cleanliness.
• Deploying, evaluating, monitoring, and optimizing learning processes to improve high-performance models.
• Demonstrating solution value through measurable outcomes, identifying logical next use cases, and traveling as needed to engage with external clients regularly.
• Using AI-native development tools such as Claude, Codex, Cursor, and GitHub to accelerate delivery while maintaining software engineering, testing, security, and documentation standards.
• Creating evaluations, observability, feedback loops, access controls, and human-in-the-loop safeguards to manage quality, safety, reliability, performance, and cost.

Skills and attributes for success 

To excel in this role, you will need a blend of deep engineering expertise, client leadership, product delivery, and interpersonal skills. Your ability to navigate complex challenges and independently shape and deliver impactful solutions in client environments will be essential.

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.

• Strong analytical and decision-making skills to guide project direction.
• Proven experience in project management and tracking deliverable completion.
• Ability to build trust and maintain relationships with clients and business stakeholders, technology stakeholders, and team members.
• Excellent communication skills to convey complex ideas effectively.

To qualify for the role, you must have:

• A Bachelor’s degree required (4-year degree).
• 3-6 years of full-time working experience in AI and/or Machine Learning
• Strong skills in Python
• Ability to collaborate and communicate effectively with diverse, hybrid and global teams
• Experience identifying, solutioning, designing, building, deploying, and maintaining high-impact, high-value production AI/ML solutions on a major cloud platform
• Proficient in foundation models, generative AI, and agentic AI frameworks (e.g., OpenAI, Dall-e, Langchain, Retrieval Augmented Generation (RAG)) and experienced with ML packages like scikit-learn and PyTorch
• Experience with natural language processing and deep learning
• Extensive experience in AI-assisted and DevOps tools (Claude, Codex, Cursor, GitHub, Azure DevOps), Agile methodologies (Jira), and CI/CD pipelines for developing, deploying, and scaling analytical solutions
• Experience with MLOps, LLMOps, and AgentOps and ML workflows, including data ingestion, transformation, and evaluation
• Experience with model retraining and feedback loop methodologies
• Experience with model and solution evaluation, observability, monitoring and reporting
• Understanding of data structures, Responsible AI practices, and data modelling, and software engineering best practices
• Strong foundation in mathematics, statistics, and operations research, with proficiency in data manipulation tools (SQL, Pandas, Spark) and deep learning techniques in mathematics, statistics, and operations research, with proficiency in data manipulation tools (SQL, Pandas, Spark) and deep learning techniques
• Excellent communication skills for conveying findings and recommendations, with a willingness to travel for client engagements

Ideally, you’ll also have:

• Master's degree Computer Science, Mathematics, Physical Sciences, or another quantitative field
• Experience in hybrid collaboration and emotional agility
• A 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
• Knowledge of sustainability practices in technology
• A deep understanding of and ability to teach concepts, tools, features, functions, and benefits of different approaches to apply them
• Strong skills in languages beyond Python: R, JavaScript, Java, C++, C
• Experience fine-tuning Generative AI models
• Experience with image processing techniques and/or speech and audio processing and analysis

What we look for

We 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.

#FY27NATAIDE 

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 – $128,400 to $192,500
  • Bay Area California offices – $133,600 to $200,600
  • All other offices locations in the US, including Sacramento – $106,900 to $176,500
• 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

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.

EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

All in to shape the future with confidence.

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