AI-Driven Delivery Software Engineer III

Deloitte France

Midland (MI)

On-site

USD 110,000 - 140,000

Full time

3 days ago
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Job summary

Deloitte is seeking a Software Engineer III on the Customer team to drive AI-assisted software delivery and agent development. You translate requirements into structured workflows, validate outputs, and deliver scalable technology solutions with cross-functional collaboration.

Responsibilities include breaking down requirements, building and testing across the lifecycle, and ensuring quality through reviews of agent-generated assets and documentation.

Qualifications

  • 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.

Responsibilities

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

Skills

Independence
Communication
Attention to detail
Relationship building

Job description

Deloitte is seeking a Software Engineer III on the Customer team to drive AI-assisted software delivery and agent development. You translate requirements into structured workflows, validate outputs, and deliver scalable technology solutions with cross-functional collaboration.

Responsibilities include breaking down requirements, building and testing across the lifecycle, and ensuring quality through reviews of agent-generated assets and documentation.

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