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Deloitte is seeking a Software Engineer III on the Customer team to advance AI-assisted software delivery, AI agent development, and agentic system implementation, translating requirements into structured workflows and validating outputs for scalable, high-quality solutions.
You will collaborate with architecture, engineering, QA, product, UX, and documentation teams to ensure delivery consistency and maintain strong code quality.
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
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
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