AI Manager/Lead - Lead Data Engineer II
About The Position
As a Lead Data Engineer II on Deloitte’s AI & Engineering team, you will lead the design, development, testing, and deployment of artificial intelligence and machine learning solutions for health eligibility, benefits, and human services platforms. You will manage teams building retrieval-augmented and multimodal AI capabilities, including document intake and verification, natural-language access to program data, and assistive tools for eligibility staff. The role owns model evaluation and quality activities, including grounding, accuracy measurement, regression testing across prompt and model changes, and release gating based on measured results. You will develop and manage data pipelines, model-training workflows, and production-grade application components for AI-enabled products. You will collaborate with engineers, data scientists, policy analysts, and program stakeholders to translate requirements into scalable technical solutions, guide technical decisions, and mentor junior practitioners. This position is part of Deloitte’s Government & Public Services practice and AI & Data offering. Under the Project Delivery Talent Model, professionals with specialized skills focus on delivering services to clients; their employment is tied to their project role, and they are eligible for a benefits package competitive for project delivery-focused professionals. The role is based in Sacramento, California, and requires an average of 15–20% travel, depending on the work and clients served.
Requirements
- Bachelor’s degree.
- 10 or more years of experience supporting technical, data, and artificial intelligence engineering engagements.
- Experience integrating large language models into enterprise applications.
- At least 5 years of experience with Java, Python, artificial intelligence/machine learning, cloud, and DevOps technologies.
- Ability to travel an average of 15–20%, depending on the work and clients and industries/sectors served.
- Ability to work independently and collaboratively.
- 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, dynamic environment.
- Strong interpersonal skills and professional demeanor.
- Ability to meet deadlines.
- Ability to mentor and provide clear guidance to others.
Nice To Haves
- Experience leading engineering teams supporting enterprise data and artificial intelligence initiatives.
- Experience with retrieval-augmented generation and multimodal artificial intelligence solutions.
- Experience supporting health eligibility, benefits, or human services platforms.
- Experience designing and maintaining integrations with state or federal interface partners.
- Experience translating eligibility policy requirements into executable technical logic.
- Experience with model evaluation, regression testing, and release gating.
Responsibilities
- Lead the design, development, testing, and deployment of AI and machine learning solutions for health eligibility, benefits, and human services platforms.
- Manage teams building retrieval-augmented and multimodal AI capabilities, including document intake and verification, natural-language access to program data, and assistive tools for eligibility staff.
- Own model evaluation and quality activities, including grounding, accuracy measurement, regression testing across prompt and model changes, and release gating based on measured results.
- Develop and manage data pipelines, model-training workflows, and production-grade application components that support AI-enabled products.
- Collaborate with engineers, data scientists, policy analysts, and program stakeholders to translate requirements into scalable technical solutions.
- Guide technical decisions and mentor junior practitioners.
- Lead projects or workstreams, manage and prioritize multiple tasks, and meet deadlines.
Benefits
- Eligible for a benefits package competitive for project delivery-focused professionals.
- May be eligible to participate in a discretionary annual incentive program, subject to program rules and applicable factors.
- Professional development opportunities, including on-the-job learning, formal development programs, leadership opportunities, and mentorship.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
