Lead Agentic Delivery Engineer

Our Deloitte Customer team empowers organizations to build deeper relationships with customers through innovative strategies, advanced analytics, Generative AI, transformative technologies, and creative design. We can enhance customer experiences and drive sustained growth and customer value creation and capture, through customer and commercial strategies, digital products and innovation, marketing, commerce, sales, and service. We are a team of strategists, data scientists, operators, creatives, designers, engineers, and architects. Our team balances business strategy, technology, creativity, and ongoing managed services to solve the biggest problems that affect customers, partners, constituents, and the workforce.

Recruiting for this role ends on 5/29/2026

Work You'll Do

As a Project Delivery Manager on the project, you will:

• Lead the design, implementation, deployment, and support of AI/ML, analytics, automation, and generative AI solutions for client programs
• Translate business and functional requirements into technical plans, solution components, and production-ready workflows
• Oversee the development of data pipelines, model integration, validation processes, and other scalable technical assets
• Manage delivery workstreams and guide teams in using Python, SQL, cloud platforms, and modern data tools to solve business problems
• Define and monitor KPIs related to solution quality, model performance, data health, adoption, and business impact
• Mentor junior practitioners and partner with client and internal stakeholders to drive execution, communicate progress and risks, and promote responsible, repeatable delivery practices
  
  

The Team

Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & 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 Sales & Service offering designs and implements sales and service experiences, capabilities, and architectures required to bring customer strategies to life.

The Project Delivery Talent Model is designed for professionals with specialized skills that align to a current client need. Team members focus on delivering services to clients, without additional expectations related to business development or promotion. Their employment is tied to their role on a project, and they are eligible for a benefits package that is competitive for project delivery-focused professionals.

Qualifications

Required:

• Bachelor's degree in Computer Science, Engineering, Data Science, Statistics, Mathematics, Information Systems, or a related technical field
• 5 years of experience in one or more of the following: software engineering, analytics, AI/ML, data, automation, or technology implementation
• 5 years of experience translating business requirements into technical designs, build activities, or deployment plans and integrating technical solutions into business processes, applications, or user workflows across technical stakeholders
• 2 years of experience delivering AI/ML, data, automation, and generative AI solutions in production, operational, or client-facing environments, including prompt engineering, LLM APIs, orchestration, and RAG architectures
• 2 years of experience using Python and SQL and working in cloud or modern data environments
• Experience leading at least one workstream, team, or end-to-end solution component from requirements through implementation
• Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
• Ability to travel 0-25%, on average, based on the work you do and the clients and industries/sectors you serve
  
  

Preferred:

• Experience working with at least one major cloud platform, such as AWS, Azure, or GCP
• Experience using at least one or more modern data engineering tools, such as Databricks, Snowflake, BigQuery, dbt, Airflow, or comparable platforms
• Experience applying at least two MLOps practices, such as deployment pipelines, monitoring, experiment tracking, model governance, or containerization
• Experience using at least one BI or visualization tool to support solution adoption, reporting, or business insight generation
• Experience coaching junior team members and reviewing technical deliverables for quality, accuracy, or completeness
• Familiarity with responsible AI practices, including model transparency, bias considerations, and governance processes
• Government consulting experience
  
  

The 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 $107,600 to $198,400.

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.