About this role
Accenture seeks an AI Decision Science Analyst (management level 11) for its Gurugram office. The full-time role lists 2–5 years of experience and focuses on building autonomous AI agents and multimodal solutions that execute complex business workflows across industries.
Responsibilities
- Design, develop and deploy AI agents and multi-agent systems that reason, plan, collaborate and execute workflows. Integrate agents with external tools and APIs using Model Context Protocol (MCP), and build generative AI applications using agent orchestration frameworks.
- Apply computer vision, machine learning and large language models to business problems. Define data requirements; clean, aggregate, analyze and interpret data; and assess data quality.
- Build and deploy AI models, train and fine-tune LLMs on large-scale datasets, evaluate performance and make iterative improvements.
- Integrate scalable AI solutions into end-to-end workflows, using cloud platforms for development and deployment. Explore advances in AI and data science, and document methods and findings.
Required skills include expert proficiency in generative AI, agentic AI systems, MCP, LLMs, multi-agent systems, Python, SQL and AI agent orchestration frameworks. The posting also calls for experience developing AI/ML models, expertise building autonomous systems for complex workflows, understanding of AI safety, alignment and governance, and experience with enterprise AI agent deployments and production system management.
Additional technologies and knowledge listed include AI Refinery, LangChain, LlamaIndex, AutoGen, CrewAI, Spark, AWS, Azure, GCP, NLP, computer vision, vector databases, RAG, function calling, tool integration, Docker, Kubernetes, MLOps pipelines, reinforcement learning and multimodal AI systems.