AI Engineering Consultant - Senior Manager - Consulting - Open Location
for sections like About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections that have real specific content. Must not repeat job title. Must not include Job ID etc. Must remove boilerplate, navigation, legal, EEO, scam warning, duplicated lines, application instructions. Must preserve all substantive information.
We need to parse the posting and extract sections.
Let's identify content:
Location: Anywhere in Country (maybe not needed). Then intro paragraphs about EY.
We need sections: About the role? Could be the introductory description. Responsibilities: "Your Key Responsibilities" list. Skills And Attributes For Success: list of skills. To qualify for the role, you must have: qualifications (requirements). Ideally, you'll also have: preferred qualifications. What we look for: maybe culture fit. What We Offer You: benefits. Pay: salary range. Schedule? Not mentioned. So we may not include Schedule.
We need to avoid filler like "commensurate with experience". Not present.
We need to output only HTML fragment.
We need to use for each section heading. Use - for any list of duties/requirements/benefits. Use
for prose.
We must not repeat job title as heading.
We need to preserve all substantive info.
Let's extract.
First, location line: "Location: Anywhere in Country". Could be minor metadata; we can fold into a short
or drop. Probably include as a short paragraph.
Then intro paragraphs: "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"
That's a lot of prose; could be "About the role". We'll put that under
About the role
with containing that text (maybe split into multiple paragraphs but okay).
Next: "Your Key Responsibilities" heading. Then bullet list: many sentences separated by line breaks. We need to extract each bullet.
Let's list responsibilities from the text:
- 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.
Actually after that there is "Skills And Attributes For Success" heading. So responsibilities end before that.
Thus responsibilities list: four bullet points.
Now "Skills And Attributes For Success" heading. Then a paragraph: "This role will work to deliver tech at speed, innovate at scale and put humans at the center." Then a list of bullet-like sentences (some are long). Let's extract each bullet:
- 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
Some duplicates: "Consistently delivering quality client services" appears twice (once earlier). We'll keep as is but could deduplicate? The instruction: preserve ALL substantive information; do NOT invent or summarize away detail. Duplicated lines: we should remove duplicated lines? It says "Remove cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate, duplicated lines, and application instructions." So we should remove duplicated lines. So we need to deduplicate identical lines. Let's identify duplicates:
- "Consistently deliver quality client services focusing on more complex, judgmental and/or specialized issues surrounding emerging technology." (first bullet under Skills)
- Later "Consistently delivering quality client services." (different wording but similar). Not exact duplicate. The instruction says duplicated lines, likely exact duplicates. We'll keep both if not exact.
But there is "Consistently delivering quality client services." appears twice? Actually appears under Skills list: "Consistently delivering quality client services." and later "Consistently delivering quality client services." again? Let's check: after "Fostering relationships with client personnel at appropriate levels." there is "Consistently delivering quality client services." then "Driving high-quality work products within expected timeframes and on budget". Then later "Collaborating, influencing and building consensus..." etc. So only one occurrence of that exact phrase. The earlier one is "Consistently deliver quality client services focusing on more complex, judgmental and/or specialized issues surrounding emerging technology." Not duplicate.
Thus fine.
Now after Skills list, we have "To qualify for the role, you must have:" then list of requirements.
Let's extract each requirement bullet:
- 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 designing, building, evaluating, deploying, and maintaining 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 and drive successful outcomes
- Team player
Now "Ideally, you’ll also have:" list:
- 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.
Now "What we look for:" paragraph about mindset etc. Could be a section maybe "What we look for". But we only have headings list: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. The "What we look for" could be part of Skills or Qualifications? It's about mindset/culture. Could be included under Skills? But we have a Skills section already. Might be better to include as a separate section like "What we look for" but not in allowed headings. The instruction: use
for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). It says e.g., not limited to? It says use for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). Likely we should only use those headings. So we need to map content to those headings.
We have:
- About the role: intro paragraphs.
- Responsibilities: Your Key Responsibilities.
- Requirements: To qualify for the role, you must have: (mandatory).
- Qualifications: Ideally, you’ll also have: (preferred).
- Skills: Skills And Attributes For Success.
- Benefits: What We Offer You At EY... (benefits).
- Pay: salary range.
- Schedule:
- for any list of duties/requirements/benefits. Use
for prose. We must not repeat job title as heading. We need to preserve all substantive info. Let's extract. First, location line: "Location: Anywhere in Country". Could be minor metadata; we can fold into a short
or drop. Probably include as a short paragraph. Then intro paragraphs: "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" That's a lot of prose; could be "About the role". We'll put that under
About the role
withcontaining that text (maybe split into multiple paragraphs but okay). Next: "Your Key Responsibilities" heading. Then bullet list: many sentences separated by line breaks. We need to extract each bullet. Let's list responsibilities from the text: - 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. Actually after that there is "Skills And Attributes For Success" heading. So responsibilities end before that. Thus responsibilities list: four bullet points. Now "Skills And Attributes For Success" heading. Then a paragraph: "This role will work to deliver tech at speed, innovate at scale and put humans at the center." Then a list of bullet-like sentences (some are long). Let's extract each bullet: - 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 Some duplicates: "Consistently delivering quality client services" appears twice (once earlier). We'll keep as is but could deduplicate? The instruction: preserve ALL substantive information; do NOT invent or summarize away detail. Duplicated lines: we should remove duplicated lines? It says "Remove cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate, duplicated lines, and application instructions." So we should remove duplicated lines. So we need to deduplicate identical lines. Let's identify duplicates: - "Consistently deliver quality client services focusing on more complex, judgmental and/or specialized issues surrounding emerging technology." (first bullet under Skills) - Later "Consistently delivering quality client services." (different wording but similar). Not exact duplicate. The instruction says duplicated lines, likely exact duplicates. We'll keep both if not exact. But there is "Consistently delivering quality client services." appears twice? Actually appears under Skills list: "Consistently delivering quality client services." and later "Consistently delivering quality client services." again? Let's check: after "Fostering relationships with client personnel at appropriate levels." there is "Consistently delivering quality client services." then "Driving high-quality work products within expected timeframes and on budget". Then later "Collaborating, influencing and building consensus..." etc. So only one occurrence of that exact phrase. The earlier one is "Consistently deliver quality client services focusing on more complex, judgmental and/or specialized issues surrounding emerging technology." Not duplicate. Thus fine. Now after Skills list, we have "To qualify for the role, you must have:" then list of requirements. Let's extract each requirement bullet: - 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 designing, building, evaluating, deploying, and maintaining 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 and drive successful outcomes - Team player Now "Ideally, you’ll also have:" list: - 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. Now "What we look for:" paragraph about mindset etc. Could be a section maybe "What we look for". But we only have headings list: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. The "What we look for" could be part of Skills or Qualifications? It's about mindset/culture. Could be included under Skills? But we have a Skills section already. Might be better to include as a separate section like "What we look for" but not in allowed headings. The instruction: use
for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). It says e.g., not limited to? It says use
for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). Likely we should only use those headings. So we need to map content to those headings. We have: - About the role: intro paragraphs. - Responsibilities: Your Key Responsibilities. - Requirements: To qualify for the role, you must have: (mandatory). - Qualifications: Ideally, you’ll also have: (preferred). - Skills: Skills And Attributes For Success. - Benefits: What We Offer You At EY... (benefits). - Pay: salary range. - Schedule: