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 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.
- 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, DevOps, 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, GitHub 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 completeness
- Familiarity with responsible AI practices, including transparency, bias considerations, governance, and human oversight controls
- Experience with Agile delivery practices, including sprint planning, backlog management, dependency coordination, and stakeholder communication
- Strong written and verbal communication skills with the ability to explain technical trade-offs, risks, and delivery status to varied audiences
- 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.
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 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.
- 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, DevOps, 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, GitHub 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 completeness
- Familiarity with responsible AI practices, including transparency, bias considerations, governance, and human oversight controls
- Experience with Agile delivery practices, including sprint planning, backlog management, dependency coordination, and stakeholder communication
- Strong written and verbal communication skills with the ability to explain technical trade-offs, risks, and delivery status to varied audiences
- 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.
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Frequently asked questions
Q: What skills or qualities help someone succeed as a Senior Engineer?
A: To succeed as a Senior Engineer, key technical skills include expertise in software development methodologies (e.g., Agile, DevOps), proficiency in programming languages (e.g., Java, Python), and in-depth knowledge of relevant technologies (e.g., cloud computing, artificial intelligence). Additionally, essential soft skills include strong leadership and communication abilities, as well as the capacity to mentor and guide junior engineers, along with excellent problem-solving and analytical thinking skills. By combining these technical and soft skills, Senior Engineers can effectively lead projects, drive innovation, and contribute to the growth and success of their organization.
Q: What is the career path for a Senior Engineer?
A: A Senior Engineer typically follows a career progression from entry-level roles such as Junior Engineer or Design Engineer, to mid-level positions like Staff Engineer or Lead Engineer, and eventually to senior roles like Senior Engineer or Principal Engineer. Along the way, they develop key skills in technical leadership, project management, and communication, as well as opportunities to specialize in areas like technical mentoring, innovation, and strategic planning. Long-term, Senior Engineers may pursue leadership roles like Engineering Manager, Director of Engineering, or even transition into non-technical roles like Product Management or Business Development.
