Agentic Delivery Software Engineer III
Deloitte•Tampa, FL
•$107,600 - $198,400•Hybrid
About The Position
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.
Requirements
- 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
- 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
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
Responsibilities
- 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
Benefits
- Discretionary annual incentive program
- Reasonable accommodations for people with disabilities
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
