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 5/29/2026Work You'll DoThe Agentic Delivery Senior Engineer will lead delivery workstreams 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 deliveryCoordinate end-to-end execution across architecture, engineering, QA, UX, product, and technical writing contributors to maintain cross-agent and cross-team consistencyDrive quality and delivery outcomes across requirements, code, testing, compliance, and release readinessReview and validate agent-generated outputs using human-in-the-loop quality checkpoints and technical judgmentLead issue resolution across upstream and downstream delivery dependencies, including integration, testing, and production-readiness concernsEstablish and reinforce standards for code quality, technical documentation, testing rigor, and delivery governance in AI-assisted workflowsCoach junior practitioners in prompt engineering, engineering quality, delivery methods, and technical review practicesIdentify and implement process improvements that increase delivery speed, quality, repeatability, or control across agent-enabled engineering workflowsThe TeamDeloitte'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.QualificationsRequired:Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, Mathematics, or a related technical field4+ years of experience in software engineering, architecture, quality engineering, DevOps, SRE, or related SDLC delivery roles1+ years of experience delivering production, operational, or client-facing technology solutions in complex delivery environments1+ years of experience translating business requirements into technical designs, delivery plans, and execution checkpoints across multiple stakeholders1+ years of experience using AI-assisted development tools such as Claude, GitHub Copilot, Cursor, or similar tools in professional or project settings1+ years of experience reviewing and validating work produced by others, including code reviews, design reviews, test reviews, or release-readiness reviewsExperience leading at least one workstream, team, or end-to-end solution component from requirements through implementationMust be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the futureAbility to travel 0-50%, on average, based on the work you do and the clients and industries/sectors you servePreferred:Experience working with at least one major cloud platform, such as AWS, Azure, or GCPExperience using one or more modern engineering or data platforms such as Databricks, Snowflake, Airflow, dbt, Kubernetes, or comparable toolsExperience applying at least two MLOps or AI delivery practices such as deployment pipelines, monitoring, experiment tracking, model governance, or containerizationExperience with prompt engineering, LLM APIs, orchestration patterns, or retrieval-augmented generation architecturesExperience using BI, reporting, or visualization tools to support adoption, operational visibility, or business insight generationExperience coaching junior team members and reviewing technical deliverables for quality, accuracy, and completenessFamiliarity with responsible AI practices, including transparency, bias considerations, governance, and human oversight controlsExperience with Agile delivery practices, including sprint planning, backlog management, dependency coordination, and stakeholder communicationStrong written and verbal communication skills with the ability to explain technical trade-offs, risks, and delivery status to varied audiencesGovernment consulting experienceThe 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.