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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.

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 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. 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 w...

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