Lead hands‑on architecture, design, and implementation of agentic applications, AI‑powered services, and platform capabilities from concept through production
Define engineering patterns and best practices for production AI systems, including evaluation, monitoring, guardrails, resiliency, cost control, and rollback strategies
Drive end‑to‑end software delivery across the SDLC, from discovery and prototyping to testing, release, and production operations
Use engineering tools to accelerate design, coding, testing, documentation, troubleshooting, and delivery while maintaining strong engineering judgment and code quality standards
Champion an AI‑enabled SDLC by improving developer workflows, automation, test generation, code review quality, release confidence, and team productivity
Requirements
Bachelor’s degree in computer science, Software Engineering, or a related technical field
This role leads by demonstrating. It contributes directly to software design and development while raising standards for engineering quality, testing, documentation, maintainability, architecture, and delivery.
Locations (2)
Alpharetta, Georgia, United States
Norcross, Georgia, United States
Responsibilities
Lead the design and development of enterprise software solutions, integrations, and manufacturing applications.
Contribute directly to implementation, troubleshooting, and delivery as a senior hands‑on engineer.
Establish and promote software engineering standards, development practices, documentation, and quality expectations.
Mentor developers and raise technical capability through demonstration, feedback, knowledge sharing, and code reviews.
Review architecture, technical designs, implementations, and delivery approaches for quality and consistency.
Requirements
Associate’s degree
Senior AI Platform Engineer
Accenture Infrastructure and Capital Projects, LLC · Posted Nov 3, 2026