Agentic Delivery Engineer

Deloitte • San Francisco, CA • 1h ago

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 Engineer helps deliver software solutions using AI-assisted and multi-agent development approaches across the software development lifecycle (SDLC). This role supports the orchestration of agent-enabled workflows from requirements through build, test, and release, with a focus on technical quality, delivery consistency, and deployment readiness. The ideal candidate combines hands-on engineering capability with strong judgment, structured problem-solving, and the ability to translate business and technical requirements into executable delivery plans. You will also:

Support the breakdown of business and technical requirements into structured inputs, tasks, and @context for agent-assisted delivery workflows

Execute and coordinate assigned SDLC activities across requirements, build, testing, release, and validation

Work with cross-functional contributors across architecture, engineering, QA, product, UX, and technical documentation to maintain delivery consistency

Review and validate agent-generated outputs, including requirements, code, test assets, and supporting documentation

Apply established engineering standards, code quality practices, and delivery controls to support reliable implementation

Contribute to CI/CD, DevSecOps, testing, and release-readiness activities across delivery teams

Identify issues, gaps, or inconsistencies in AI-assisted outputs and escalate or remediate as appropriate

Support continuous improvement of agent-enabled delivery workflows, prompting approaches, and quality checkpoints

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

2+ years of experience in software engineering, quality engineering, DevOps, site reliability engineering, or related SDLC delivery roles contributing to production, operational, or client-facing technology implementations using one or more programming languages such as Python, JavaScript, Java, or similar technologies

1+ years of experience using AI-assisted development tools such as Claude, GitHub Copilot, Cursor, or similar tools in project or professional settings

1+ years of experience reviewing code, tests, or technical deliverables for quality, completeness, and alignment to requirements

1+ years of experience working in Agile delivery environments, including sprint execution, backlog refinement, and iterative delivery

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 translating requirements into technical tasks, build activities, test cases, or deployment steps

Experience working with at least one cloud platform, such as AWS, Azure, or GCP

Experience using at least one CI/CD, DevSecOps, or automation toolchain in delivery environments

Experience applying at least two software quality practices such as automated testing, code review, static analysis, monitoring, or release validation

Experience with prompt engineering, @context design, or structured prompting for AI-assisted development use cases

Experience with containerization, deployment automation, or modern platform engineering practices

Experience supporting junior team members or contributing to peer reviews of technical deliverables

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