# AI Solution Architect

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

Canonical page: https://career.thegoodapps.co/jobs/5fe5f2c7-aa5a-4695-88f3-1336801938d0

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

- Seniority: Senior

## Summary

This role involves designing end-to-end architectures for production AI systems across multiple client engagements, balancing technical, cost, and business requirements. It suits senior AI engineers with hands-on experience in generative AI and MLOps who want to move into architectural leadership while mentoring teams and shaping platform practices.

_Our summary, not Accenture's wording._

## Skills named

Apache Kafka, AWS SageMaker, CI/CD, Cloud Platforms, Containerization, Data Pipelines, Deep Learning, Fine-tuning, Generative AI, Graph Databases, Machine Learning, MLOps, Retrieval-Augmented Generation, Vector Databases

## Required

- 6+ years professional software engineering experience including distributed systems
- 3+ years production machine learning and data science projects
- Experience designing and implementing generative AI systems in production
- Knowledge of vector databases and retrieval systems
- Cloud-based AI platform experience (Azure ML, AWS SageMaker, or equivalent)
- MLOps knowledge including CI/CD, monitoring, and governance
- Strong client-facing communication skills

## Nice to have

- Experience with agentic systems and tool-use patterns
- Knowledge of graph databases like Neo4j or AWS Neptune
- Familiarity with ingestion frameworks like Kafka or Debezium
- Experience with model adaptation strategies and fine-tuning open-source LLMs
- Breadth across generative models, deep learning, and predictive ML

Apply on Accenture's site: https://accenture.wd103.myworkdayjobs.com/en-US/AccentureCareers/job/Bucharest/AI-Solution-Architect_R00331450