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 10/30/26 Work you'll do As a Software Engineer III on the Customer team, you will advance AI-assisted software delivery, AI agent development, and agentic system implementation by helping teams translate requirements into structured workflows, validate outputs, and deliver scalable, high-quality technology solutions. • Break down business and technical requirements into structured tasks and context for agent-assisted delivery workflows • Execute and assign software development and agent development lifecycle activities across build, test, release, and validation • Collaborate with architecture, engineering, quality assurance, product, user experience, and technical documentation teams to support delivery consistency • Review agent-generated requirements, code, test assets, and technical documentation for quality, completeness, and alignment to requirements • Design, configure, and support AI agent implementations for software engineering use cases such as requirements analysis, code generation, test generation, release support, and technical documentation • Apply Agentic Development Lifecycle practices including task decomposition, context scoping, guardrails, validation checkpoints, and human-in-the-loop review to improve delivery reliability • Support implementation patterns for tool invocation, Model Context Protocol (MCP) integration, and multi-agent orchestration across specialized agent roles and delivery tasks • Lead other engineers in the use of secure, reliable, and scalable AI-assisted development practices, including agent-enabled workflows, prompt engineering, validation checkpoints, and governance of agent-generated outputs • Stay current on emerging best practices, industry-leading techniques, and evolving frameworks for AI agent development, deployment, orchestration, and governance A successful candidate would possess these skills: • Ability to work independently and collaborate as part of a team • Effective written and verbal communication skills • Meticulous attention to detail and quality of work product • Ability to build and sustain professional relationships • Ability to lead projects or workstreams • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment • Strong interpersonal skills and professional demeanor • Ability to meet deadlines • Ability to provide clear guidance to others 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 technical field • 4+ years of experience in software engineering or software development lifecycle (SDLC) delivery roles • 1+ years of experience reviewing code, tests, or technical deliverables for quality, completeness, and alignment to documented requirements • 1+ years of experience working in Agile delivery environments, including sprint execution, backlog refinement, and iterative delivery • 1+ years of experience using AI-assisted development tools such as Claude, GitHub Copilot, or Cursor • 1+ years of experience with prompt engineering, structured prompting, reusable context patterns, or prompt chaining • 1+ years of experience designing, developing, or implementing AI agents for software engineering, quality engineering, DevOps, or software delivery use cases • 1+ years of experience applying Agentic Development Lifecycle concepts such as task decomposition, context scoping, orchestration, validation controls, and human-in-the-loop review • Ability to travel 0-50%, on average, based on the work you do and the clients and industries/sectors you serve • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future Preferred: • Experience with Model Context Protocol (MCP), tool integration patterns, or agent-to-system communication frameworks • Experience with multi-agent orchestration frameworks or coordination patterns supporting planning, execution, review, and escalation across specialized agents • Experience working with at least one cloud platform such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) • Experience with containerization, deployment automation, or platform engineering practices 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.

Requirements

Must-haves

Recruiting for this role ends on 10/30/26
Work you'll do
Break down business and technical requirements into structured tasks and context for agent-assisted delivery workflows
Execute and assign software development and agent development lifecycle activities across build, test, release, and validation
Collaborate with architecture, engineering, quality assurance, product, user experience, and technical documentation teams to support delivery consistency
Review agent-generated requirements, code, test assets, and technical documentation for quality, completeness, and alignment to requirements
Design, configure, and support AI agent implementations for software engineering use cases such as requirements analysis, code generation, test generation, release support, and technical documentation
Apply Agentic Development Lifecycle practices including task decomposition, context scoping, guardrails, validation checkpoints, and human-in-the-loop review to improve delivery reliability
Support implementation patterns for tool invocation, Model Context Protocol (MCP) integration, and multi-agent orchestration across specialized agent roles and delivery tasks
Stay current on emerging best practices, industry-leading techniques, and evolving frameworks for AI agent development, deployment, orchestration, and governance
A successful candidate would possess these skills:
Ability to work independently and collaborate as part of a team
Effective written and verbal communication skills
Meticulous attention to detail and quality of work product
Ability to build and sustain professional relationships
Ability to lead projects or workstreams
Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
Strong interpersonal skills and professional demeanor
Ability to meet deadlines
Ability to provide clear guidance to others

Nice-to-haves

Experience with Model Context Protocol (MCP), tool integration patterns, or agent-to-system communication frameworks
Experience with multi-agent orchestration frameworks or coordination patterns supporting planning, execution, review, and escalation across specialized agents
Experience working with at least one cloud platform such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)
Experience with containerization, deployment automation, or platform engineering practices

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aiagileawsazuregcp

Platform: avature
Effort: medium