# AI Engineering / Agentic AI Engineering Manager

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

Canonical page: https://career.thegoodapps.co/jobs/4832709f-1526-4b60-a81a-e81c3308908d

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

- Seniority: Senior

## Summary

This role involves leading the design and delivery of advanced AI solutions—from machine learning and generative AI to multi-agent systems—for enterprise clients, combining technical architecture decisions with team leadership and client engagement. The ideal candidate brings hands-on experience building production AI systems at scale, the ability to translate business problems into robust implementations, and a track record of managing technical teams through complex, end-to-end projects.

_Our summary, not Accenture's wording._

## Skills named

Amazon Web Services (AWS), Apache Spark, CrewAI, Databricks, LangChain, LangGraph, LlamaIndex, Microsoft Azure, MLflow, Neo4j, Prompt Engineering, Python, PyTorch, Retrieval-Augmented Generation (RAG), Semantic Kernel, Snowflake, TensorFlow

## Required

- Degree in computer science, data science, machine learning, mathematics, physics or related field
- Proven experience implementing end-to-end AI or GenAI solutions in production
- Experience managing teams and delivering projects
- Strong proficiency in Python and ML frameworks (TensorFlow, PyTorch)
- Experience with RAG architectures, prompt engineering, and LLM integration
- Knowledge of multi-agent systems and orchestration frameworks
- Experience with hybrid knowledge systems combining vector stores and knowledge graphs
- Expertise in data pipelines, distributed processing, and modern data platforms
- Experience with LLMOps: deployment, monitoring, evaluation, and lifecycle management
- Practical experience with Azure, AWS, or GCP including AI services
- Fluent French and English (written and spoken)

## Nice to have

- Production experience with GenAI or agentic systems
- Experience with agent orchestration frameworks (LangGraph, AutoGen, Semantic Kernel)
- Background in AI governance, responsible AI, or regulatory compliance (e.g. AI Act)
- Consulting or digital transformation experience with enterprise clients
- Open-source contributions or publications in AI/GenAI
- Advanced certifications or specialized training
- Cloud certifications (Azure, AWS, GCP) or ML/AI certifications

Apply on Accenture's site: https://accenture.wd103.myworkdayjobs.com/en-US/AccentureCareers/job/Paris/Manager-Data-Scientist---GenAI-Engineer-H-F_R00334577