Agentic Delivery Software Engineer III

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
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