{"schemaVersion":"jobsearcher.job.v1","id":"d97c2d3d03f7fbab76ef94ab","url":"https://jobsearcher.com/jobs/d97c2d3d03f7fbab76ef94ab","canonicalUrl":"https://jobsearcher.com/jobs/d97c2d3d03f7fbab76ef94ab","title":"AI Data Engineer - Manager","description":"AI Data Engineer - Manager\r\nOur Human Capital practice is at the forefront of transforming the nature of work. As converging forces reshape industries, our team uniquely addresses the complexities of work, workforce, and workplace dynamics. We leverage sector-specific insights and cross-domain perspectives to help organizations tackle their most challenging workforce issues and align talent strategies with their strategic visions. Our practice is renowned for making work better for humans and humans better at work. Be part of this exciting era of change and join us on this transformative journey.\r\nRecruiting for this role ends on August 30, 2026\r\nWork You'll Do\r\nThe AI Data Engineer will lead the data architecture and engineering delivery that enables AI/ML/GenAI solutions, ensuring data is trusted, secure, observable, and scalable from ingestion through consumption. You will design and operationalize modern data and retrieval foundations to support LLM-powered applications (e.g., Claude, GPT/Codex, Gemini) including patterns such as RAG, embeddings, vector search, and governed access to structured and unstructured data. You will manage day-to-day delivery with an onshore/offshore team, partnering with data science, ML engineering, and product stakeholders to translate use cases into production-ready pipelines and platforms with strong data governance, lineage, quality controls, and monitoring. This role blends hands-on technical leadership with delivery management and team development, driving consistent engineering standards and measurable outcomes in client environments.\r\nStrategic Alignment and Vision\r\nHelp define the AI/ML/GenAI technical direction and vision, ensuring alignment with strategic goals and digital transformation efforts.\r\nTranslate the vision of business leaders into realistic technical implementations, while identifying misaligned initiatives and impractical use cases.\r\nArchitectural Design\r\nDesign end-to-end AI architectures, from data ingestion to model deployment, integrating with cloud and on-premises systems.\r\nDesign and Technology Selection\r\nSelect appropriate technologies from a pool of open-source and commercial offerings, considering deployment models and integration with existing tools.\r\nUnderstand and contribute to MLOps and LLMOps, focusing on operational capabilities and infrastructure to deploy and manage machine learning models and large language models.\r\nResearch and Development\r\nConduct research to provide technical solutions to scale AI/ML powered features for real-world challenges, making trade-offs based on quality, scalability, performance, and cost.\r\nLead the development of AI models (e.g., machine learning, natural language processing, computer vision) and implement scalable AI solutions.\r\nCollaboration and Stakeholder Engagement\r\nCollaborate with Enterprise, Application, Data & DevOps teams, Data scientists, Machine Learning & GenAI Engineers, and Business teams to pilot use cases and discuss best design.\r\nGather inputs from multiple stakeholders to align technical implementation with existing and future requirements.\r\nConsulting & Advisory\r\nServe as a technical advisor to leadership, providing insights on AI trends, potential business impacts, and implementation best practices.\r\nOperational Excellence and Continuous Improvement\r\nBe responsible for the successful execution of AI-powered applications using agile methodology.\r\nAudit AI tools and practices across data, models and software engineering, focusing on continuous improvement and feedback mechanisms.\r\nContribute to standardizing CI/CD pipelines, user and service roles, and container creation, model consumption, testing, and deployment methodology based on business and security requirements.\r\nRisk Management and Ethical Considerations\r\nWork closely with security and risk leaders to foresee and mitigate risks, ensuring ethical AI implementation and compliance with upcoming regulations.\r\nAddress potential issues such as training data poisoning, AI model theft, and adversarial samples.\r\nProduct Strategy and Business Understanding\r\nHelp AI product managers and business stakeholders understand the potential and limitations of AI when planning new products.\r\nBreak down client problems and bring an understanding of leading technology, analytics methods, tools, and operating model approaches.\r\nTool Development and Data Management\r\nBuild tools and capabilities that assist with data ingestion, feature engineering, data management, and organization.\r\nDesign, implement, and maintain distributed computing solutions for data processing and model training, ensuring the security, scalability, and reliability of machine learning infrastructure.\r\nThe Team\r\nOur Insights, Innovation & Operate Offering is designed to enhance key aspects of our clients' businesses by leveraging cutting-edge technology, data, and a blend of deep technical and human expertise. We innovate and deliver creative, industry-specific solutions that streamline operations and accelerate speed-to-value.\r\nRequired Qualifications\r\nBachelor's degree in Computer Science, Statistics, Data Science, Information Systems or related field.\r\n6+ years of consulting experience leading delivery teams, including onshore and offshore team members.\r\n6+ years of experience gathering non-functional requirements and defining application architecture frameworks, including validation and testing deliverables.\r\n5+ years of experience working in an AI environment.\r\n5+ years of experience translating requirements into client ready design documents.\r\n5+ years of experience in software application architecture analysis, design, and delivery.\r\n5+ years of experience executing full system development life cycle implementations.\r\nAbility to travel 0-25%, on average, based on the work you do and the clients and industries/sectors you serve.\r\nLimited immigration sponsorship may be available.\r\nPreferred Qualifications\r\nAdvanced degrees such as Masters or PhD are preferred.\r\nCertifications in AI/ML technologies and Cloud platforms, such as AWS Certified Machine Learning - Specialty, Google Cloud Professional Machine Learning Engineer, Azure AI Engineer, Azure Data Scientist, or Azure Solutions Architect.\r\n5+ years of experience in Data Science, Statistics, and Machine Learning.\r\n5+ years of experience in Generative AI/LLMs, preferably experienced in delivering and productionizing.\r\n5+ years of experience in machine learning model development, natural language processing, and data analysis; Experienced in Supervised and Unsupervised learning, feature engineering, model training, and deployment.\r\n5+ years of experience in implementing cloud-based AI/ML workloads on any of AWS, Microsoft and Azure.\r\nThe wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $130,800-241,000.\r\nPossible Locations: Atlanta, Austin, Baltimore, Boston, Charlotte, Chicago, Cincinnati, Cleveland, Columbus, Costa Mesa, Dallas, Denver, Detroit, Hartford, Houston, Indianapolis, Jacksonville, Kansas City, Las Vegas, Los Angeles, McLean, Miami, Milwaukee, Nashville, New Orleans, New York, Philadelphia, Pittsburgh, Portland, Raleigh, Richmond, Sacramento, San Antonio, San Diego, San Francisco, San Jose, Seattle, St. Louis, Stamford, Tampa, Tempe\r\nYou may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.\r\nInformation for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html\r\nFor more information about Human Capital, visit our landing page at: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-human-capital-consulting-jobs.html\r\nJ-18808-Ljbffr","company":"PowerToFly","rawCompany":"powertofly","city":"Phoenix","state":"AZ","isRemote":false,"isActive":false,"createdAt":"2026-06-25T01:12:08.528Z","occupations":[{"code":"11-3021.00","title":"Computer and Information Systems Managers","slug":"computer-and-information-systems-managers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"AI Data Engineer - Manager","description":"AI Data Engineer - Manager\r\nOur Human Capital practice is at the forefront of transforming the nature of work. As converging forces reshape industries, our team uniquely addresses the complexities of work, workforce, and workplace dynamics. We leverage sector-specific insights and cross-domain perspectives to help organizations tackle their most challenging workforce issues and align talent strategies with their strategic visions. Our practice is renowned for making work better for humans and humans better at work. Be part of this exciting era of change and join us on this transformative journey.\r\nRecruiting for this role ends on August 30, 2026\r\nWork You'll Do\r\nThe AI Data Engineer will lead the data architecture and engineering delivery that enables AI/ML/GenAI solutions, ensuring data is trusted, secure, observable, and scalable from ingestion through consumption. You will design and operationalize modern data and retrieval foundations to support LLM-powered applications (e.g., Claude, GPT/Codex, Gemini) including patterns such as RAG, embeddings, vector search, and governed access to structured and unstructured data. You will manage day-to-day delivery with an onshore/offshore team, partnering with data science, ML engineering, and product stakeholders to translate use cases into production-ready pipelines and platforms with strong data governance, lineage, quality controls, and monitoring. This role blends hands-on technical leadership with delivery management and team development, driving consistent engineering standards and measurable outcomes in client environments.\r\nStrategic Alignment and Vision\r\nHelp define the AI/ML/GenAI technical direction and vision, ensuring alignment with strategic goals and digital transformation efforts.\r\nTranslate the vision of business leaders into realistic technical implementations, while identifying misaligned initiatives and impractical use cases.\r\nArchitectural Design\r\nDesign end-to-end AI architectures, from data ingestion to model deployment, integrating with cloud and on-premises systems.\r\nDesign and Technology Selection\r\nSelect appropriate technologies from a pool of open-source and commercial offerings, considering deployment models and integration with existing tools.\r\nUnderstand and contribute to MLOps and LLMOps, focusing on operational capabilities and infrastructure to deploy and manage machine learning models and large language models.\r\nResearch and Development\r\nConduct research to provide technical solutions to scale AI/ML powered features for real-world challenges, making trade-offs based on quality, scalability, performance, and cost.\r\nLead the development of AI models (e.g., machine learning, natural language processing, computer vision) and implement scalable AI solutions.\r\nCollaboration and Stakeholder Engagement\r\nCollaborate with Enterprise, Application, Data & DevOps teams, Data scientists, Machine Learning & GenAI Engineers, and Business teams to pilot use cases and discuss best design.\r\nGather inputs from multiple stakeholders to align technical implementation with existing and future requirements.\r\nConsulting & Advisory\r\nServe as a technical advisor to leadership, providing insights on AI trends, potential business impacts, and implementation best practices.\r\nOperational Excellence and Continuous Improvement\r\nBe responsible for the successful execution of AI-powered applications using agile methodology.\r\nAudit AI tools and practices across data, models and software engineering, focusing on continuous improvement and feedback mechanisms.\r\nContribute to standardizing CI/CD pipelines, user and service roles, and container creation, model consumption, testing, and deployment methodology based on business and security requirements.\r\nRisk Management and Ethical Considerations\r\nWork closely with security and risk leaders to foresee and mitigate risks, ensuring ethical AI implementation and compliance with upcoming regulations.\r\nAddress potential issues such as training data poisoning, AI model theft, and adversarial samples.\r\nProduct Strategy and Business Understanding\r\nHelp AI product managers and business stakeholders understand the potential and limitations of AI when planning new products.\r\nBreak down client problems and bring an understanding of leading technology, analytics methods, tools, and operating model approaches.\r\nTool Development and Data Management\r\nBuild tools and capabilities that assist with data ingestion, feature engineering, data management, and organization.\r\nDesign, implement, and maintain distributed computing solutions for data processing and model training, ensuring the security, scalability, and reliability of machine learning infrastructure.\r\nThe Team\r\nOur Insights, Innovation & Operate Offering is designed to enhance key aspects of our clients' businesses by leveraging cutting-edge technology, data, and a blend of deep technical and human expertise. We innovate and deliver creative, industry-specific solutions that streamline operations and accelerate speed-to-value.\r\nRequired Qualifications\r\nBachelor's degree in Computer Science, Statistics, Data Science, Information Systems or related field.\r\n6+ years of consulting experience leading delivery teams, including onshore and offshore team members.\r\n6+ years of experience gathering non-functional requirements and defining application architecture frameworks, including validation and testing deliverables.\r\n5+ years of experience working in an AI environment.\r\n5+ years of experience translating requirements into client ready design documents.\r\n5+ years of experience in software application architecture analysis, design, and delivery.\r\n5+ years of experience executing full system development life cycle implementations.\r\nAbility to travel 0-25%, on average, based on the work you do and the clients and industries/sectors you serve.\r\nLimited immigration sponsorship may be available.\r\nPreferred Qualifications\r\nAdvanced degrees such as Masters or PhD are preferred.\r\nCertifications in AI/ML technologies and Cloud platforms, such as AWS Certified Machine Learning - Specialty, Google Cloud Professional Machine Learning Engineer, Azure AI Engineer, Azure Data Scientist, or Azure Solutions Architect.\r\n5+ years of experience in Data Science, Statistics, and Machine Learning.\r\n5+ years of experience in Generative AI/LLMs, preferably experienced in delivering and productionizing.\r\n5+ years of experience in machine learning model development, natural language processing, and data analysis; Experienced in Supervised and Unsupervised learning, feature engineering, model training, and deployment.\r\n5+ years of experience in implementing cloud-based AI/ML workloads on any of AWS, Microsoft and Azure.\r\nThe wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $130,800-241,000.\r\nPossible Locations: Atlanta, Austin, Baltimore, Boston, Charlotte, Chicago, Cincinnati, Cleveland, Columbus, Costa Mesa, Dallas, Denver, Detroit, Hartford, Houston, Indianapolis, Jacksonville, Kansas City, Las Vegas, Los Angeles, McLean, Miami, Milwaukee, Nashville, New Orleans, New York, Philadelphia, Pittsburgh, Portland, Raleigh, Richmond, Sacramento, San Antonio, San Diego, San Francisco, San Jose, Seattle, St. Louis, Stamford, Tampa, Tempe\r\nYou may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.\r\nInformation for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html\r\nFor more information about Human Capital, visit our landing page at: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-human-capital-consulting-jobs.html\r\nJ-18808-Ljbffr","datePosted":"2026-06-25T01:12:08.528Z","dateModified":"2026-06-25T01:12:08.528Z","hiringOrganization":{"@type":"Organization","name":"PowerToFly","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Phoenix","addressRegion":"AZ","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"d97c2d3d03f7fbab76ef94ab"},"url":"https://jobsearcher.com/jobs/d97c2d3d03f7fbab76ef94ab"}}