Deloitte rating
8.1
Based on 86 frontline employees who took The Breakroom Quiz
59th of 137 rated financial services
Job description
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
- 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 $84,400 to $155,400.
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.
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
- 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 $84,400 to $155,400.
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.
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Frequently asked questions
Q: What skills or qualities help someone succeed as a Build and Deployment Engineer?
A: To succeed as a Build and Deployment Engineer, key technical skills include proficiency in automation tools such as Jenkins, Git, and Docker, as well as experience with version control systems like GitLab or SVN. Additionally, strong problem-solving skills, attention to detail, and the ability to collaborate with cross-functional teams are essential soft skills, as they enable effective communication, issue resolution, and process improvement. By combining these technical and soft skills, Build and Deployment Engineers can efficiently design, implement, and maintain reliable software deployment pipelines, driving career growth and effectiveness in the role.
Q: What is the career path for a Build and Deployment Engineer?
A: A Build and Deployment Engineer's typical career progression involves starting as a Junior Build and Deployment Engineer, where they focus on automating build and deployment processes, and then advancing to a Build and Deployment Engineer role, where they lead and optimize these processes. As they gain experience, they can move into senior roles such as a Release Manager or a DevOps Engineer, where they oversee the entire software release lifecycle and collaborate with cross-functional teams. With further growth, they may transition into leadership positions like a Technical Lead or a Director of Engineering, or explore adjacent roles like a Cloud Architect or a Site Reliability Engineer.
