AI-Driven Delivery Software Engineer III

Deloitte France

Atlanta (GA)

On-site

USD 110,000 - 140,000

Full time

5 days ago
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Job summary

Deloitte Atlanta is seeking a Software Engineer III on the Customer team to advance AI-assisted software delivery and agent development, translating requirements into structured workflows and scalable solutions.

You will collaborate across architecture, engineering, QA, product, UX, and documentation, review agent-generated outputs, and apply lifecycle practices to improve delivery reliability.

Qualifications

  • Ability to work independently and collaborate as part of a team (written and verbal communication).
  • Meticulous attention to detail and quality of work product.
  • Ability to build and sustain professional relationships.

Responsibilities

  • Break down business and technical requirements into structured tasks for agent-assisted delivery workflows.
  • Execute and manage software development and agent development lifecycles across build, test, release, and validation.
  • Collaborate with architecture, engineering, QA, product, UX, and documentation teams to support delivery consistency.
  • Review agent-generated requirements, code, test assets, and documentation for quality and alignment to requirements.
  • Design, configure, and support AI agent implementations for software engineering use cases like requirements analysis, code generation, test generation, and release support.
  • Apply Agentic Development Lifecycle practices including task decomposition, guardrails, validation checkpoints, and human-in-the-loop review.

Skills

Independent work
Team collaboration
Communication skills
Attention to detail
Relationship building

Job description

Deloitte Atlanta is seeking a Software Engineer III on the Customer team to advance AI-assisted software delivery and agent development, translating requirements into structured workflows and scalable solutions.

You will collaborate across architecture, engineering, QA, product, UX, and documentation, review agent-generated outputs, and apply lifecycle practices to improve delivery reliability.

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