AI​/ML Computational Science Manager

We Are:

The beginning of a new Data & AI decade that will reshape work and society has begun. Accenture is stepping boldly into this future with a clear strategy and purpose: to help clients optimize and reinvent their business with data & AI - backed by a $3B investment and commitment to our people to do industry-defining work.

With over 45,000 professionals dedicated to Data & AI, Accenture's Data & AI organization brings together our Experienced Innovation, Strategic Investment, Exceptional Talent, and Power Ecosystem.

You Are:

As an Artificial Intelligence and Machine Learning Computational Science professional, you will play a pivotal role in formulating real-world problems into practical, efficient, and scalable AI and Machine Learning solutions. You will be responsible for developing and implementing cutting-edge artificial intelligence solutions that drive innovation and enhance performance. You will collaborate with cross-functional teams and leverage your expertise in machine learning, deep learning, and data analysis to solve complex problems and deliver impactful AI-driven solutions.

Position Responsibilities:

+ Collaborate with stakeholders to engineer innovative solutions for new system roll-outs, enhancements, and maintenance of existing applications, ensuring adherence to programming standards.

+ Develop system specifications, create test plans, and conduct project and issue management for the assigned scope of work.

+ Design/Build solutions using AI services and machine learning models to address unique use cases, employing cutting-edge techniques and methodologies.

+ Utilize machine learning and advanced AI techniques to extract valuable insights from complex datasets and solve intricate problems.

+ Deploy trained models into production environments, ensuring scalability, reliability, and optimal performance, while integrating seamlessly with existing systems and applications.

+ Design and implement agents and multi-agent architectures to optimize client workflows.

Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements.

Job Qualifications Here's what you need:

+ Minimum of 6 years of extensive full-time experience in Data Analysis, Statistics, Machine Learning, or Computer Science

+ Minimum of 5 years of experience in machine learning, deep learning, or demonstrated proficiency in Natural Language Processing (NLP)

+ Minimum of 5 years of experience with AI/ML and cognitive services provided by at least one cloud service provider

+ Minimum of 1 year of experience designing, building, and/or implementing Agentic Architectures

+ Minimum of 1 years of experience in building Conversational AI applications using cloud-based services and in orchestrating AI/ML services for building a complete solution

+ Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate's Degree, must have minimum 6 years work experience)

Bonus points if you have:

+ Experience managing and leading Gen AI/Agentic delivery across enterprises

+ Deep industry expertise and experience designing industry-specific AI solutions

+

Experience with building out AI infrastructure and how to optimize/scale performance

+ Consulting/Advisory background with strong track record of continual experimentation with emergent tech

Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below.

We anticipate this job posting will be posted until 11/29/2026.

Accenture offers a market competitive suite…