Job
Description
About The Role
Skill required: NA - Business Transformation
Designation: Business Transformation Assoc Manager
Qualifications:Any Graduation
Years of Experience:10 to 14 years
What would you do?
Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song" all powered by the world's largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities. Visit us at www.accenture.com.In this role, you will be expected to develop transformation vision, assess vision feasibility and capability gaps, plan journey management. Also, translate economic trends into industry competitive advantage, transform a business to enable profitable & sustainable growth. Develop transformation vision, assess vision feasibility and capability gaps, plan journey management. Translate economic trends into industry competitive advantage, transform a business to enable profitable & sustainable growth. We are looking for a highly skilled LLM Engineer to design, develop, and optimize Agentic AI systems and Generative AI solutions for enterprise applications. The ideal candidate will have deep expertise in Large Language Models (LLMs), prompt engineering, and autonomous agent frameworks, combined with strong programming and integration skills. This role involves building intelligent, context-aware agents that can reason, plan, and execute tasks across complex business workflows.What are we looking for?
Strong experience with LLMs (OpenAI GPT, Azure OpenAI, Gemini, AWS Bedrock Hugging Face Transformers) Expertise in Python and frameworks like Lang Chain, Semantic Kernel, AutoGen Knowledge of prompt engineering, RAG, and vector search (e.g., Pinecone, Weaviate, Qdrant) Familiarity with Azure AI stack and cloud deployment best practices Understanding of model fine-tuning, evaluation, and safety alignment Strong problem-solving and analytical thinking Excellent communication and documentation skills Experience with enterprise integration and API development
Roles and Responsibilities: Fine-tune and customize Large Language Models (OpenAI, Azure OpenAI, Hugging Face, etc.) for enterprise use cases Implement prompt engineering, chain-of-thought reasoning, and context management for high-quality outputs Optimize LLM performance for accuracy, latency, and cost efficiency Agentic AI Design Deploy & Test autonomous AI agents using frameworks like Semantic Kernel, LangChain, AutoGen Enable multi-agent collaboration for complex workflows (e.g., invoice processing, document summarization, decision-making) Test human-in-the-loop and safe execution mechanisms. Develop text, document, and conversational AI solutions for business processes Integrate Generative AI capabilities into enterprise applications for content generation, summarization, and reasoning Explore multimodal AI (text + image) for advanced F&A use cases Deploy AI solutions on Azure Cloud leveraging Azure AI services Integrate LLM-based agents with ERP systems (SAP VIM, SAP BTP, Oracle Fusion, OCI) and other enterprise platforms Ensure scalability, security, and compliance in production environments Stay updated on LLM advancements, agentic architectures, and generative AI trends Experiment with model compression, retrieval-augmented generation (RAG), and vector databases
QualificationAny Graduation
