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.
The Work
Research and evaluate emerging AI tools relevant to software development (e.g., code assistants, automation frameworks, testing tools, API-based AI services).
Support developers by integrating AI tools into existing workflows and recommending best practices.
Build and maintain internal prototypes or automation scripts using AI/ML APIs and frameworks.
Provide training, demos, and documentation to help teams understand and use AI solutions effectively.
Monitor AI tool performance, gather user feedback, and suggest improvements.
Stay up to date with industry advancements and communicate insights to engineering leadership.
Collaborate with cross-functional teams to identify opportunities for AI-driven process optimization.
Assist in maintaining compliance, security, and ethical use of AI systems within engineering operations.
Travel may be required for this role.  The amount of travel will vary from 0 to 100% depending on business need and client requirements.