Senior AI/ML Computational Science Lead

Accenture PLC; Houston (TX); On-site; USD 90,000 - 260,000; Full time

Job summary

Accenture is seeking an Artificial Intelligence and Machine Learning Computational Science professional in Houston to formulate real-world problems into scalable AI solutions. You will develop and deploy AI/ML models, collaborate with cross-functional teams, and leverage NLP and cloud-based services to drive innovation and improve performance.

The role emphasizes building agentic architectures, deploying models to production, and solving complex business problems with advanced AI techniques.

Qualifications

• Minimum 6 years of full-time experience in Data Analysis, Statistics, ML, or CS.
• Minimum 5 years in ML/DL or NLP.
• Minimum 5 years with AI/ML and cognitive services from at least one cloud provider.
• Minimum 1 year designing, building, and/or implementing Agentic Architectures.
• Minimum 1 year building Conversational AI apps using cloud-based services.

Responsibilities

• Collaborate with stakeholders to engineer innovative AI solutions for new system roll-outs and maintenance, adhering to standards.
• Develop system specifications, create test plans, and manage projects and issues.
• Design/build AI solutions using AI services and ML models for use cases with cutting-edge techniques.
• Extract insights from complex data using ML/AI to drive performance.
• Deploy trained models to production ensuring scalability and reliability, integrating with existing systems.
• Design and implement agents and multi-agent architectures to optimize client workflows.

Skills

Data analysis

Statistics

Machine learning

Computer science

Natural Language Processing

Agentic architectures

AI/ML cloud services

Conversational AI

Education

Bachelor's degree or equivalent

Tools

Cloud platforms

Job description

Accenture is seeking an Artificial Intelligence and Machine Learning Computational Science professional in Houston to formulate real-world problems into scalable AI solutions. You will develop and deploy AI/ML models, collaborate with cross-functional teams, and leverage NLP and cloud-based services to drive innovation and improve performance.

The role emphasizes building agentic architectures, deploying models to production, and solving complex business problems with advanced AI techniques.