# AI Native SW Engineer - Manager

Hiring organization: [Accenture](https://career.thegoodapps.co/organizations/accenture)

Canonical page: https://career.thegoodapps.co/jobs/4937b2f5-52a5-4a49-ab2d-3fc289c89ac7

Listed on Accenture's own careers site. Applications go to them directly.

- Seniority: Senior

## Summary

You will architect and deploy multi-agent AI systems in production enterprise environments, working directly with client engineering teams and setting standards for RAG pipelines, LLM integration, and observability across the practice. This role combines senior technical leadership with hands-on ownership of agentic systems that run inside real organizations, not prototypes.

_Our summary, not Accenture's wording._

## Skills named

CrewAI, Docker, Helm, Java, Kubernetes, LangGraph, OpenAI API, Prompt Engineering, Python, Retrieval-Augmented Generation (RAG), Terraform, Vector Databases

## Required

- Minimum 1 year shipping production agentic AI systems
- Hands-on experience with agentic orchestration frameworks at production depth
- Direct experience calling LLM APIs in production code
- RAG pipeline ownership including embeddings and chunking strategy
- LLMOps fundamentals including eval harness design and prompt versioning
- Cloud-native engineering with Kubernetes, Docker, microservices, CI/CD, and IaC
- Strong Python or equivalent backend language with production debugging experience
- Experience managing and developing engineering teams

## Nice to have

- Multiple production agentic system deployments
- Multi-agent orchestration across complex enterprise environments
- Vendor-agnostic LLM architecture patterns
- Experience with multiple LLM providers and cost governance
- Published reusable patterns or accelerators at scale

Apply on Accenture's site: https://accenture.wd103.myworkdayjobs.com/en-US/AccentureCareers/job/Dublin/AI-Native-SW-Engineer---Manager_R00345749