Overview:
In this role you translate real-world problems into scalable AI/ML solutions within Accenture’s Data & AI practice. You will collaborate with cross-functional teams to design, develop, and deploy cutting-edge AI systems that enhance performance and innovation. You’ll work on model design, production deployment, and integration with existing platforms, aiming to optimize client workflows. This position offers the opportunity to shape AI capabilities at scale and contribute to enterprise AI delivery. You will be part of a mission-driven team advancing data-driven transformation. Compensation / Benefits Medical, dental, vision, life, and long-term disability 401(k) plan Bonus opportunities Paid holidays Paid time off
Responsibilities:
Collaborate with stakeholders to engineer innovative AI solutions for system roll-outs, enhancements, and maintenance while adhering to coding standards Develop system specifications, write test plans, and manage project issues within your scope Design/build AI solutions and ML models for unique use cases using cutting-edge techniques Apply ML and advanced AI methods to extract insights from complex data and solve intricate problems Deploy trained models to production with a focus on scalability, reliability, and integration with existing systems Design and implement agents and multi-agent architectures to optimize client workflows Travel may be required (0–100% depending on business needs)
Key requirements:
Minimum 6 years of full-time experience in Data Analysis, Statistics, Machine Learning, or Computer Science Minimum 5 years in ML, DL, or NLP Minimum 5 years of experience 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 AI/ML services and orchestrating a complete solution Bachelor's degree or equivalent work experience (12 years); if Associate’s, minimum 6 years Collaboration with cross-functional teams Problem solving and analytical thinking Effective communication and stakeholder management Machine Learning Deep Learning Natural Language Processing (NLP)