I&P - GN - SONG - AI & Data - Marketing - MMM RAG - Consultant

J ob Title - Data Engineering Consultant - RAG, LLM & AI Agents | S&C Management Level: 09 - Consultant Location: PAN India Must Have Skills: Retrieval-Augmented Generation (RAG), Large Language Models (LLM), AI Agent Development, Python, LangChain, Vector Databases (Pinecone/Weaviate/ChromaDB), Prompt Engineering Good to Have Skills: LlamaIndex, FastAPI, Vertex AI / AWS Bedrock / Azure OpenAI, HuggingFace, Embedding Models, Docker / Kubernetes, MLflow

Job Summary: As a Data Engineering Consultant specializing in RAG, LLMs, and AI Agent development, you will be responsible for designing and building intelligent, context-aware AI applications that leverage retrieval-augmented generation architectures and autonomous agent frameworks . Your typical day will involve developing RAG pipelines, fine-tuning and integrating LLMs, building multi-step AI agents using LangChain , and deploying these solutions in scalable production environments. You will work closely with data engineers, ML engineers, and product teams to deliver AI-powered products that create measurable business value. Roles & Responsibilities: • Design and implement end-to-end RAG pipelines, including document ingestion, chunking, embedding, vector storage, and retrieval. • Integrate and orchestrate large language models (e.g., Gemini, GPT-4, Claude, Llama) for enterprise use cases. • Build multi-step, tool-using AI agents using frameworks such as LangChain, LlamaIndex, or custom agent loops. • Develop and optimize prompt engineering strategies for accuracy, reliability, and latency. • Select and configure vector databases (e.g., Pinecone, Weaviate, ChromaDB) for semantic search and retrieval. • Implement evaluation frameworks to assess RAG and agent output quality (relevance, faithfulness, hallucination rate). • Deploy LLM-based solutions as APIs or microservices, ensuring scalability and observability. • Collaborate with clients to identify AI use cases and translate requirements into production-ready agent architectures. Professional & Technical Skills: • Must Have Skills: Proficiency in RAG architecture design, LLM integration, AI agent development, vector databases and prompt engineering • Hands-on experience with orchestration frameworks such as LangChain or LlamaIndex. • Strong Python skills for building and deploying LLM pipelines and agent workflows. • Experience with vector databases and embedding models for semantic retrieval. • Strong grasp of prompt engineering - few-shot learning, and chain-of-thought techniques. • Knowledge of LLM evaluation metrics and tools (e.g., RAGAS, TruLens, or custom eval pipelines). • Experience deploying AI services on cloud platforms (GCP Vertex AI, AWS Bedrock, or Azure OpenAI) is an advantage. Additional Information: • The ideal candidate will have a passion for applied AI and a track record of delivering LLM-powered solutions in production environments. • This position is based at PAN India offices. About Our Company | Accenture

Experience: Minimum 3 year(s) of experience is required Educational Qualification: B.Tech/BE/MCA or equivalent in Computer Science, AI/ML, or related field

About Accenture Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities. Visit us at   www.accenture.com  

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