Senior AI/ML Solutions Architect – GenAI & MLOps

Accenture; Dublin; Hybrid; EUR 140,000 - 190,000; Full time

Job summary

Accenture is seeking a Senior AI/ML Computational Scientist to design, build, and operationalize AI/ML solutions for enterprise clients. You will work across the full lifecycle—from data assessment to production-ready models, leveraging Deep Learning, Gen AI, and LLMs, and building scalable MLOps pipelines for training and deployment.

The role requires strong foundations in ML engineering, distributed computing, and cloud deployment, with hands-on Python/C++/Java/R/SQL experience and a focus on

Qualifications

• Significant experience as a machine learning engineer or scientist, deploying models in production at scale with monitoring and auditing.
• Extensive foundations in computer science, including system architecture, engineering, and programming.
• Experience with distributed computing systems, big data, HPC, grid or cloud computing.
• Experience building and deploying AI/ML software to a cloud environment.
• Proficiency in Python and Python-based AI/ML frameworks (TensorFlow, PyTorch).
• Experience with LLM APIs and optimization for applications.

Responsibilities

• Formulate real-world problems into scalable AI/ML solutions.
• Develop and implement ML models and scalable data pipelines for training and production with DevOps & MLOps.
• Customize Deep Learning and Gen AI models for diverse use cases.
• Engage in R&D of new AI algorithms and simulations for client applications.
• Work with large-scale datasets and perform data preprocessing for high-quality inputs.
• Implement data storage/retrieval for models and knowledge.
• Justify model choices in business terms.
• Collaborate with business and technical teams to deliver end-to-end production solutions.

Skills

ML engineering

Computer science fundamentals

Distributed computing

Cloud deployment

Python

C++

Java

R

SQL

LLMs APIs

Education

Bachelor's Degree or equivalent

Tools

TensorFlow

PyTorch

Job description

Accenture is seeking a Senior AI/ML Computational Scientist to design, build, and operationalize AI/ML solutions for enterprise clients. You will work across the full lifecycle—from data assessment to production-ready models, leveraging Deep Learning, Gen AI, and LLMs, and building scalable MLOps pipelines for training and deployment.

The role requires strong foundations in ML engineering, distributed computing, and cloud deployment, with hands-on Python/C++/Java/R/SQL experience and a focus on