Job Summary

At PwC, our people in software and product innovation focus on developing cutting-edge software solutions and driving product innovation to meet the evolving needs of clients. These individuals combine technical experience with creative thinking to deliver innovative software products and solutions.

In emerging technology at PwC, you will focus on exploring and implementing cutting-edge technologies to drive innovation and transformation for clients. You will work in areas such as artificial intelligence, blockchain, and the internet of things IoT.

Responsibilities

- Solution Development: Develop and deploy enterprise-grade Generative AI applications, APIs, and microservices.
- LLM Orchestration RAG: Optimize Retrieval-Augmented Generation (RAG) pipelines and advanced search architectures to ground LLMs on proprietary enterprise data.
- Agentic AI: Build multi-agent systems and autonomous workflows using orchestration frameworks to automate complex, multi-step business processes.
- Model Integration: Integrate leading commercial and foundational models via enterprise cloud environments (Azure OpenAI, AWS Bedrock, or GCP Vertex AI / Model Garden).
- Responsible AI Guardrails: Implement safety guidelines, content moderation, data privacy controls, and guardrails to ensure compliant and ethical AI deployments. Establish evaluation frameworks to measure LLM performance (latency, accuracy, bias, drift, and cost) and set up monitoring in production.
- Client Collaboration PoCs: Rapidly prototype Proof of Concepts PoCs to showcase GenAI capabilities to internal leaders and external clients.

Requirements

- 3-6 years of experience in software development with solid computer science fundamentals.
- Expert Python Programming: Deep proficiency in Python and its standard libraries.
- API Development:



Experience building robust and secure RESTful/GraphQL APIs using frameworks like FastAPI, Flask, or Django.
- Cloud Ecosystems (Any One Preferred): Hands-on experience with at least one major cloud platform AI ecosystem:
- GCP: Vertex AI, Vertex AI Search and Conversation, Vertex AI Model Garden, Gemini API, Google ADK.
- Microsoft Azure: Azure OpenAI Service, Azure AI Search, Azure Databricks, AI Foundry
- AWS: Amazon Bedrock, Amazon SageMaker.

- Databases: Proficiency in SQL and NoSQL databases.
- Frameworks: Extensive experience with LangChain, LlamaIndex or LangGraph.
- Vector Databases Search: Practical experience with vector databases/search engines such as Pinecone, Milvus, Qdrant, Chroma, Vertex AI Vector Search, or Azure AI Search.
- Prompt Engineering: Proven ability in designing complex system prompts, few-shot learning, and chain-of-thought prompting.
- Embeddings: Deep understanding of text embeddings, semantic search, and advanced chunking strategies.
- DevOps LLMOps Containerization using Docker and basic understanding of Kubernetes (e.g., GKE, AKS, or EKS). Experience with Git-based CI/CD pipelines. Familiarity with LLM monitoring tools (e.g., LangSmith, Langfuse or Arize Phoenix).

Preferred Skills

- Experience in Fine-tuning models (PEFT, LoRA) using Hugging Face libraries.
- Knowledge of Graph databases (e.g., Neo4j) for GraphRAG implementations.
- Familiarity with UI prototyping frameworks like Streamlit, Chainlit, or Gradio.
- An understanding of MLOps pipelines on GCP Vertex AI Pipelines, Azure, or AWS.

Education

Education: BE/ Btech/ Mtech/ MCA/ MBA (fulltime)

Degrees/Field of Study required: Bachelor of Technology

Required Skills

- Generative AI

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 IN_Sr Associate_Gen AI_Emerging Businesses_Advisory_Bangalore (Bengaluru)
🏢 PwC Service Delivery Center
📍 Bengaluru