AI Engineering Consultant - Senior Manager - Consulting - Open Location

We need to output HTML fragment with sections: About the role? The posting includes intro paragraphs about EY, mission, etc. We need to decide sections: maybe "About the role", "Responsibilities", "Requirements", "Skills", "Benefits", "Pay", "Schedule". We must only include sections where there is real specific content. The posting includes responsibilities (Your Key Responsibilities). It includes Skills and Attributes For Success (list). It includes qualifications (To qualify for the role, you must have: ...). It includes "Ideally, you’ll also have:" (preferred). It includes "What we look for:" (mindset). It includes "What We Offer You At EY" (benefits). It includes salary range (Pay). No schedule info. So we can have sections: About the role (maybe combine intro?), Responsibilities, Requirements (qualifications), Skills (maybe combine Skills and Attributes and also "Ideally, you’ll also have:"?), Benefits, Pay. We must not repeat job title. Use

for each section heading. Use

• for any list of duties/requirements/benefits. Use

  for prose. We must preserve all substantive information, not invent or summarize away detail. Must not include boilerplate like EEO, legal, navigation, cookie, application instructions, duplicated lines. Must remove cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate, duplicated lines, and application instructions. So we need to strip out things like "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." etc. Also remove "EY | Building a better working world" etc. Also remove "EY provides equal employment opportunities..." etc. Also remove "If you have a disability..." etc. Also remove "Learn more at ey.com/us/careers." maybe that's part of benefits? It's a link but could be considered boilerplate? It's part of What We Offer You. Might keep as part of benefits? It's a link to learn more; maybe keep as part of benefits paragraph? It's not essential but it's not boilerplate? It's a call to action. Might be considered application instruction? It's not exactly application instruction but it's a link. Safer to keep? The instruction says remove application instructions. That line is not exactly application instruction but it's a link to learn more about careers. Might be considered part of benefits? I'd keep it as part of benefits paragraph. We need to preserve all substantive information: the intro paragraphs about EY, mission, AI team, etc. That could be "About the role". We'll put that in

  under About the role. Responsibilities: list from "Your Key Responsibilities" bullet points (though they are in paragraph form with sentences). We need to extract each duty as list items. The text: "As an AI 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 a team working with a wide variety of clients to shape, engineer, operationalize, and scale their AI strategy at scale." Then after that there is "Skills And Attributes For Success" which includes many bullet-like sentences. We'll treat those as skills. We also have "To qualify for the role, you must have:" list of requirements. We also have "Ideally, you’ll also have:" list of preferred qualifications. We also have "What we look for:" mindset attributes. We also have "What We Offer You At EY" benefits. We also have salary range. We must not include sections with filler like "commensurate with experience". Not present. We need to decide which sections to include: About the role (intro), Responsibilities, Requirements (must have), Skills (maybe combine Skills And Attributes For Success and Ideally also have and What we look for? Could separate into Skills and Preferred Qualifications and Mindset). But instruction: Prefer a few substantive sections over many thin ones. So we could combine Skills, Preferred, and Mindset into a single "Skills and Attributes" section. But we need to keep all info. Could make sub-lists? But we only allowed

  • for any list. Could have multiple
    inside section. That's fine. We'll create sections:

    About the role

    ... intro paragraphs ...

    Responsibilities

    • ...
    ...

    Requirements

    • ...
    ...

    Skills and Attributes

    • ... from Skills And Attributes For Success
    • ... from Ideally, you’ll also have:
    • ... from What we look for:

    Benefits

    ... from What We Offer You At EY ...

    Pay

    ... salary range details ...

    We must not include Schedule section. Now we need to extract the exact sentences, preserving all substantive information, not summarizing. Must not lose any detail. Let's extract. Intro paragraphs: "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. 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 help our clients develop and realize their ambition to leverage AI 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 consulting services to ensure AI solutions are properly engineered and maintained 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 to the engineering, deployment, and scaling of AI and Machine Learning Operations capabilities" We need to remove "Location: Anywhere in Country" maybe it's metadata; could be folded into short

    or drop it. The instruction: do NOT put Job ID / requisition numbers as headings — fold minor metadata into a short

    or drop it. So "Location: Anywhere in Country" is minor metadata; we can drop it or include in a short p. Probably drop it. Thus About the role paragraph will start after that. Now Responsibilities: The text after "Your Key Responsibilities" heading. We need to capture each duty as list items. The paragraph: "As an AI 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 a team working with a wide variety of clients to shape, engineer, operationalize, and scale their AI strategy at scale." We could split into separate list items each sentence? The instruction: Use

    • for any list of duties/requirements/benefits. So we can treat each sentence as a duty. Let's do that. List items: - As an AI 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 a team working with a wide variety of clients to shape, engineer, operationalize, and scale their AI strategy at scale. Now Skills And Attributes For Success: The paragraph after that heading includes many sentences separated by line breaks? It appears as a block of sentences. We'll split each sentence into list items. Sentences: "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 into a scalable Model Engineering roadmap that aligns with the client’s goals, mission and vision" "Leading teams of AI engineers and data scientists in delivery of production-grade machine learning, generative AI, and agentic AI solutions for clients" "Staying abreast of AI technology trends and provide directional guidance and recommendations around MLOps, LLMOps, and AgentOps tools and solutions that fit their needs and integrate with their existing ecosystem" "Applying combined business and technical knowledge to develop and execute ModelOps target architecture that enables implementation and monitoring 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 and technology landscape and business priorities and success measures" "Strong team collaboration and experience working with a diverse team in a hybrid model (on site and remote)" "Working 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" "Collaborating, influencing and building consensus through constructive relationships and effective listening" "Solving problems by incorporating data into decision making" Note some sentences may be fragments; we keep as is. Now Requirements: "To qualify for the role, you must have:" then list items each on new line. We need to capture each bullet. List: - 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 M