Accenture is a global professional services firm that brings together strategy, consulting, digital, technology and operations to help clients become high-performance businesses and governments. With a presence in more than 120 countries and a workforce of over 775,000, Accenture is known for its commitment to innovation, inclusion and sustainability. The company invests heavily in emerging technologies such as artificial intelligence, cloud, and blockchain, and it offers a vibrant ecosystem for fresh talent to grow through real‑world projects, certifications, and mentorship programs. The Decision Science Practitioner Associate role sits within Accenture’s S&C Global Network – AI – Hi Tech practice. As an entry‑level associate, you will work alongside seasoned AI decision scientists to design, develop, and test generative AI solutions for a diverse set of clients. The position is ideal for recent graduates with a strong quantitative background who are eager to apply Python programming, prompt engineering, and cloud AI services to solve business problems. You will gain hands‑on exposure to large language models (LLMs), retrieval‑augmented generation (RAG), and agentic AI workflows while learning best practices in software engineering and cloud deployment. Key Responsibilities: 1. Assist in building LLM‑powered applications using prompts, APIs, and frameworks such as LangChain or LangGraph. 2. Prepare, organize, and validate knowledge sources for retrieval‑augmented generation solutions. 3. Contribute to the design and testing of conversational AI agents and workflow orchestration. 4. Perform functional testing, validate AI outputs against defined test cases, and document findings. 5. Work with Azure and/or AWS AI services to configure environments, run experiments, and monitor performance. 6. Develop Python components, integrate REST APIs, and manage code using Git. 7. Create technical documentation, including design specs, test plans, and deployment guides. 8. Support troubleshooting and iterative improvement of AI models based on feedback. 9. Collaborate with cross‑functional teams—data engineers, solution architects, and business analysts—to ensure end‑to‑end delivery. 10. Stay updated on emerging AI trends, generative AI frameworks, and cloud AI platform enhancements. Tech Stack: Python, SQL, JSON, REST APIs, Git, Azure AI Services, AWS SageMaker, LangChain/LangGraph, vector databases, scikit‑learn, TensorFlow/PyTorch, Docker (basic exposure). Growth Path: Starting as an Associate (Level 12), high performers can progress to Decision Science Analyst, Senior Analyst, and eventually to Manager or Principal roles within the AI practice. Accenture offers continuous learning through certifications (e.g., Azure AI Engineer, AWS Machine Learning), internal training labs, and opportunities to work on flagship client projects across industries. Why Join Accenture? The firm provides a structured career roadmap, global exposure, and a culture that celebrates diversity and innovation. Freshers receive mentorship from industry veterans, access to cutting‑edge AI platforms, and the chance to contribute to real client transformations from day one. Moreover, Accenture’s emphasis on work‑life balance, flexible work arrangements, and employee well‑being makes it an attractive launchpad for a long‑term technology career.