AI/ML Computational Science Manager

Accenture • San Francisco, CA

6d

About The Position

Design and develop artificial intelligence AI and machine learning ML systems leveraging existing cloud AI services. Design and build scalable data pipelines to support model training and production with DevOps MLOps. Customize and apply Deep Learning and Gen AI models for use cases based on the business needs, data availability, system and infrastructure requirements including edge devices and High Performance Computers HPCs . Justify the quality and value of the solution. Engage in research and development of new AI and high performance compute algorithms, models, and simulations along with their applications to solve complex problems. Work with large scale datasets and utilize data preprocessing techniques to ensure high quality input for training and production. Implement and maintain efficient data storage and retrieval mechanisms for models and knowledge using appropriate tools.

Requirements

• 3+ years of experience designing and implementing agentic AI architectures and multi-agent systems using LLMs.
• 3+ years of hands-on experience with Azure OpenAI, AWS Bedrock (Claude), and cloud-based AI services.
• 2+ years of proven expertise building RAG (Retrieval Augmented Generation) systems using vector databases such as Redis, Pinecone, or Azure AI Search.
• 3+ years of experience leading AI/ML projects from PoC through production deployment.
• 3+ years of proficiency in Python with deep learning frameworks (PyTorch, Keras) and NLP libraries (NLTK, Spacy).
• 2+ years of experience translating business processes into AI solution architectures and agent workflows.
• 2+ years of experience deploying and scaling agentic AI solutions in enterprise production environments.

Nice To Haves

• Proven ability to leverage state-of-the-art AI coding agents (e.g., GitHub Copilot, Cursor, Claude Code) to accelerate development velocity.
• Strong knowledge of prompt engineering best practices and prompt flow orchestration.
• Hands-on experience with popular open source agentic AI frameworks such as LangChain and LangGraph.
• Ability to lead cross-functional workshops to identify business needs and develop AI-driven solutions.
• Experience building agent orchestration frameworks with tool-use, memory, and autonomous decision-making capabilities.
• Track record of shipping multi-agent systems that handle real-world enterprise workflows at scale.

Responsibilities

• Design and develop artificial intelligence (AI) and machine learning (ML) systems leveraging existing cloud AI services.
• Design and build scalable data pipelines to support model training and production with DevOps / MLOps.
• Customize and apply Deep Learning and Gen AI models for use cases based on the business needs, data availability, system and infrastructure requirements including edge devices and High Performance Computers (HPCs).
• Justify the quality and value of the solution.
• Engage in research and development of new AI and high performance compute algorithms, models, and simulations along with their applications to solve complex problems.
• Work with large scale datasets and utilize data preprocessing techniques to ensure high quality input for training and production.
• Implement and maintain efficient data storage and retrieval mechanisms for models and knowledge using appropriate tools.

Benefits

• Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Education Level: No Education Listed
• Number of Employees: 5,001-10,000 employees