Agentic Delivery Senior 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

The Agentic Delivery Senior Engineer will lead delivery work streams using AI-assisted and multi-agent development approaches across the software development lifecycle. This role is responsible for orchestrating agent-enabled workflows, coordinating cross-functional execution, and validating that outputs meet quality, architecture, compliance, and deployment-readiness expectations. The ideal candidate brings deep SDLC experience, strong technical judgment, and the ability to lead teams through complex delivery while improving the effectiveness of AI-enabled engineering practices.

You will also:

• Lead the decomposition of business and technical requirements into structured workflows, prompts, tasks, and checkpoints for multi-agent SDLC delivery
• Coordinate end-to-end execution across architecture, engineering, QA, UX, product, and technical writing contributors to maintain cross-agent and cross-team consistency
• Drive quality and delivery outcomes across requirements, code, testing, compliance, and release readiness
• Review and validate agent-generated outputs using human-in-the-loop quality checkpoints and technical judgment
• Lead issue resolution across upstream and downstream delivery dependencies, including integration, testing, and production-readiness concerns
• Establish and reinforce standards for code quality, technical documentation, testing rigor, and delivery governance in AI-assisted workflows
• Coach junior practitioners in prompt engineering, engineering quality, delivery methods, and technical review practices
• Identify and implement process improvements that increase delivery speed, quality, repeatability, or control across agent-enabled engineering workflows

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.

Qualifications

Required:

• Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, Mathematics, or a related technical field
• 4+ years of experience in software engineering, architecture, quality engineering, Dev Ops, SRE, or related SDLC delivery roles
• 1+ years of experience delivering production, operational, or client-facing technology solutions in complex delivery environments
• 1+ years of experience translating business requirements into technical designs, delivery plans, and execution checkpoints across multiple stakeholders
• 1+ years of experience using AI-assisted development tools such as Claude, Git Hub Copilot, Cursor, or similar tools in professional or project settings
• 1+ years of experience reviewing and validating work produced by others, including code reviews, design reviews, test reviews, or release-readiness reviews
• 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 0-50%, 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 one or more modern engineering or data platforms such as Databricks, Snowflake, Airflow, dbt, Kubernetes, or comparable tools
• Experience applying at least two MLOps or AI delivery practices such as deployment pipelines, monitoring, experiment tracking, model governance, or containerization
• Experience with prompt engineering, LLM APIs, orchestration patterns, or retrieval-augmented generation architectures
• Experience using BI, reporting, or visualization tools to support adoption, operational visibility, or business insight generation
• Experience coaching junior team members and reviewing technical deliverables for quality, accuracy, and…