Lead Generative AI Data Engineer III

Position Summary Our Deloitte AI & Engineering team works to transform technology platforms, drive innovation, and help make a significant impact on our clients’ success. You’ll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation. Work You’ll Do As a Lead AI and Data Science Engineer II on the team, you will be responsible for: Lead the design, development, testing, and deployment of machine learning and artificial intelligence solutions for business and client use cases.Manage AI engineering workstreams by assigning work, reviewing deliverables, and driving quality, timeliness, and issue resolution across the team.Develop and oversee data pipelines, model training workflows, and production-grade application components that support AI-enabled products.Collaborate with engineers, data scientists, product stakeholders, and business teams to translate requirements into scalable technical solutions and guide technical decisions.Coach and mentor junior practitioners, provide day-to-day guidance, and monitor model and application performance to improve accuracy, reliability, and scalability. Skills for Success Ability to work independently and collaborate as part of a team.Effective written and verbal communication skills.Meticulous attention to detail and quality of work product.Ability to build and sustain professional relationships.Ability to lead projects or workstreams.Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment.Strong interpersonal skills and professional demeanor.Ability to meet deadlines.Ability to mentor and provide clear guidance to others. The Team Deloitte’s Government & Public Services (GPS) practice—our people, ideas, technology, and outcomes—is designed for impact. Serving federal, state, and local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise. Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance, and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively with organizational intelligence programs and differentiated strategies to win in their chosen markets. Qualifications Required Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related quantitative field.7+ years of professional experience.5+ years of experience designing, developing, or deploying machine learning, artificial intelligence, or advanced analytics solutions.3+ years of experience programming in Python, Pyspark, Pytorch, and Tensorflow.2+ years of technology consulting experience in the Federal Health space2+ years of experience deploying machine learning models into production environments.2+ years of experience leading technical teams, projects, or workstreams supporting artificial intelligence or machine learning solution delivery.1+ years of experience working with AI technologies such as Gemini, Anthropic, and OpenAI.Active certification or advanced certification in Python, Pyspark, Pytorch, and Tensorflow.Ability to travel 20%, on average, based on the work you do and the clients and industries/sectors you serve.Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future. Preferred Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related quantitative field.Active US Government security clearance.2+ years of experience working with large language models, natural language processing, or generative artificial intelligence solutions.2+ years of experience using containerization and orchestration tools such as Docker or Kubernetes.1+ years of experience supporting model monitoring, model governance, or machine learning operations processes. Compensation The wage range for this role takes into account a wide range of factors 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 $159,100 to $265,100. You 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. ai&e fy27 profile Deloitte is committed to providing reasonable accommodations for people with disabilities. If you require a reasonable accommodation to participate in the recruiting process, please direct your inquiries to the Global Call Center (GCC) at View email address on click.appcast.io. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ways of thinking, ideas, and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Learn more. Professional development From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career. As used in this posting, "Deloitte" means Deloitte Consulting LLP, a subsidiary of Deloitte LLP. Please see for a detailed description of the legal structure of Deloitte LLP and its subsidiaries. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law. Requisition code: 356565 Job ID 356565 Data and Analytics | Artificial Intelligence and Data ScienceSame job available in 4 locations