IN_Senior Associate_Gen AI developer _Emerging Business_Advisory_Noida (India)

<p class="MsoNormal"><span style="font-weight:bolder;">Job Description & Summary:</span></p><p></p><p class="MsoNormal"></p><p> </p><p class="MsoNormal"> </p><p></p><p class="MsoNormal" style="margin:0px 0px 20pt;line-height:normal;">PwC India is a leading professional services firm helping organizations solve complex business problems. Within PwC, the Emerging Businesses unit acts as the incubation and innovation engine. We focus on building next-generation digital products, platforms, and enterprise solutions using disruptive technologies.<br /><br />As a GenAI Developer in this team, you will work at the intersection of business strategy and cutting-edge technology. You will design and implement state-of-the-art Generative AI solutions that drive transformation for PwC and our marquee clients across diverse industries.</p><p></p><p class="MsoNormal"></p><p> </p><p class="MsoNormal"><span style="font-weight:bolder;">Job Position Title:</span></p><p></p><p class="MsoNormal"><span style="font-weight:bolder;"> </span></p><p></p><p class="MsoNormal">IN_Senior Associate_Gen AI developer _Emerging Business_Advisory_Bangalore (India)</p><p></p><p class="MsoNormal"><span style="font-weight:bolder;"> </span></p><p></p><p class="MsoNormal"> <span style="font-weight:bolder;">Responsibilities:</span></p><p></p><p class="MsoNormal"><span style="font-weight:bolder;"> </span></p><p></p><p class="MsoListParagraphCxSpFirst" style="text-indent:-0.25in;"><span style="font-family:Symbol;">·<span style="font-variant:normal;font-size:7pt;line-height:normal;font-family:'Times New Roman';"> </span></span>Solution Development: Develop and deploy enterprise-grade Generative AI applications, APIs, and microservices.</p><p></p><p class="MsoListParagraphCxSpMiddle" style="text-indent:-0.25in;"><span style="font-family:Symbol;">·<span style="font-variant:normal;font-size:7pt;line-height:normal;font-family:'Times New Roman';"> </span></span>LLM Orchestration & RAG: Optimize Retrieval-Augmented Generation (RAG) pipelines and advanced search architectures to ground LLMs on proprietary enterprise data.</p><p></p><p class="MsoListParagraphCxSpMiddle" style="text-indent:-0.25in;"><span style="font-family:Symbol;">·<span style="font-variant:normal;font-size:7pt;line-height:normal;font-family:'Times New Roman';"> </span></span>Agentic AI: Build multi-agent systems and autonomous workflows using orchestration frameworks to automate complex, multi-step business processes.</p><p></p><p class="MsoListParagraphCxSpMiddle" style="text-indent:-0.25in;"><span style="font-family:Symbol;">·<span style="font-variant:normal;font-size:7pt;line-height:normal;font-family:'Times New Roman';"> </span></span>Model Integration: Integrate leading commercial and foundational models via enterprise cloud environments (Azure OpenAI, AWS Bedrock, or GCP Vertex AI / Model Garden).</p><p></p><p class="MsoListParagraphCxSpMiddle" style="text-indent:-0.25in;"><span style="font-family:Symbol;">·<span style="font-variant:normal;font-size:7pt;line-height:normal;font-family:'Times New Roman';"> </span></span>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.</p><p></p><p class="MsoListParagraphCxSpLast" style="text-indent:-0.25in;"><span style="font-family:Symbol;">·<span style="font-variant:normal;font-size:7pt;line-height:normal;font-family:'Times New Roman';"> </span></span>Client Collaboration & PoCs: Rapidly prototype Proof of Concepts (PoCs) to showcase GenAI capabilities to internal leaders and external clients.</p><p></p><p class="MsoNormal"><span style="font-weight:bolder;">Mandatory skill sets:</span></p><p></p><p class="MsoListParagraphCxSpFirst" style="text-indent:-0.25in;"><span style="font-family:Symbol;">·<span style="font-variant:normal;font-size:7pt;line-height:normal;font-family:'Times New Roman';"> </span></span>3–6 years of experience in software development with strong computer science fundamentals.</p><p></p><p class="MsoListParagraphCxSpMiddle" style="text-indent:-0.25in;"><span style="font-family:Symbol;">·<span style="font-variant:normal;font-size:7pt;line-height:normal;font-family:'Times New Roman';"> </span></span>Expert Python Programming: Deep proficiency in Python and its standard libraries.</p><p></p><p class="MsoListParagraphCxSpMiddle" style="text-indent:-0.25in;"><span style="font-family:Symbol;">·<span style="font-variant:normal;font-size:7pt;line-height:normal;font-family:'Times New Roman';"> </span></span>API Development: Experience building robust and secure RESTful/GraphQL APIs using frameworks like FastAPI, Flask, or Django.</p><p></p><p class="MsoListParagraphCxSpMiddle" style="text-indent:-0.25in;"><span style="font-family:Symbol;">·<span style="font-variant:normal;font-size:7pt;line-height:normal;font-family:'Times New Roman';"> </span></span>Cloud Ecosystems (Any One Preferred): Hands-on experience with at least one major cloud platform’s AI ecosystem:</p><p></p><p class="MsoListParagraphCxSpMiddle" style="text-indent:-0.25in;"><span style="font-family:Symbol;">·<span style="font-variant:normal;font-size:7pt;line-height:normal;font-family:'Times New Roman';"> </span></span>GCP: Vertex AI, Vertex AI Search and Conversation, Vertex AI Model Garden, Gemini API, Google ADK.</p><p></p><p class="MsoListParagraphCxSpMiddle" style="text-indent:-0.25in;"><span style="font-family:Symbol;">·<span style="font-variant:normal;font-size:7pt;line-height:normal;font-family:'Times New Roman';"> </span></span>Microsoft Azure: Azure OpenAI Service, Azure AI Search, Azure Databricks, AI Foundry</p><p></p><p class="MsoListParagraphCxSpMiddle" style="text-indent:-0.25in;"><span style="font-family:Symbol;">·<span style="font-variant:normal;font-size:7pt;line-height:normal;font-family:'Times New Roman';"> </span></span>AWS: Amazon Bedrock, Amazon SageMaker.</p><p></p><p class="MsoListParagraphCxSpMiddle" style="text-indent:-0.25in;"><span style="font-family:Symbol;">·<span style="font-variant:normal;font-size:7pt;line-height:normal;font-family:'Times New Roman';"> </span></span>Databases: Proficiency in SQL and NoSQL databases.</p><p></p><p class="MsoListParagraphCxSpMiddle" style="text-indent:-0.25in;"><span style="font-family:Symbol;">·<span style="font-variant:normal;font-size:7pt;line-height:normal;font-family:'Times New Roman';"> </span></span>Frameworks: Extensive experience with LangChain, LlamaIndex or LangGraph.</p><p></p><p class="MsoListParagraphCxSpMiddle" style="text-indent:-0.25in;"><span style="font-family:Symbol;">·<span style="font-variant:normal;font-size:7pt;line-height:normal;font-family:'Times New Roman';"> </span></span>Vector Databases & Search: Practical experience with vector databases/search engines such as Pinecone, Milvus, Qdrant, Chroma, Vertex AI Vector Search, or Azure AI Search.</p><p></p><p class="MsoListParagraphCxSpMiddle" style="text-indent:-0.25in;"><span style="font-family:Symbol;">·<span style="font-variant:normal;font-size:7pt;line-height:normal;font-family:'Times New Roman';"> </span></span>Prompt Engineering: Proven ability in designing complex system prompts, few-shot learning, and chain-of-thought prompting.</p><p></p><p class="MsoListParagraphCxSpMiddle" style="text-indent:-0.25in;"><span style="font-family:Symbol;">·<span style="font-variant:normal;font-size:7pt;line-height:normal;font-family:'Times New Roman';"> </span></span>Embeddings: Deep understanding of text embeddings, semantic search, and advanced chunking strategies.</p><p></p><p class="MsoListParagraphCxSpMiddle" style="text-indent:-0.25in;"><span style="font-family:Symbol;">·<span style="font-variant:normal;font-size:7pt;line-height:normal;font-family:'Times New Roman';"> </span></span>3. DevOps & LLMOps</p><p></p><p class="MsoListParagraphCxSpMiddle" style="text-indent:-0.25in;"><span style="font-family:Symbol;">·<span style="font-variant:normal;font-size:7pt;line-height:normal;font-family:'Times New Roman';"> </span></span>Containerization using Docker and basic understanding of Kubernetes (e.g., GKE, AKS, or EKS).</p><p></p><p class="MsoListParagraphCxSpMiddle" style="text-indent:-0.25in;"><span style="font-family:Symbol;">·<span style="font-variant:normal;font-size:7pt;line-height:normal;font-family:'Times New Roman';"> </span></span>Experience with Git-based CI/CD pipelines.</p><p></p><p class="MsoListParagraphCxSpLast" style="text-indent:-0.25in;"><span style="font-family:Symbol;">·<span style="font-variant:normal;font-size:7pt;line-height:normal;font-family:'Times New Roman';"> </span></span>Familiarity with LLM monitoring tools (e.g., LangSmith, Langfuse or Arize Phoenix).</p><p></p><p class="MsoNormal" style="text-indent:2.5pt;"></p><p> </p><p class="MsoNormal"><span style="font-weight:bolder;">Preferred skill sets:</span></p><p></p><p class="MsoNormal"><span style="font-weight:bolder;"> </span></p><p></p><p class="MsoListParagraphCxSpFirst" style="text-indent:-0.25in;"><span style="font-family:Symbol;">·<span style="font-variant:normal;font-size:7pt;line-height:normal;font-family:'Times New Roman';"> </span></span>Experience in Fine-tuning models (PEFT, LoRA) using Hugging Face libraries.</p><p></p><p class="MsoListParagraphCxSpMiddle" style="text-indent:-0.25in;"><span style="font-family:Symbol;">·<span style="font-variant:normal;font-size:7pt;line-height:normal;font-family:'Times New Roman';"> </span></span>Knowledge of Graph databases (e.g., Neo4j) for GraphRAG implementations.</p><p></p><p class="MsoListParagraphCxSpMiddle" style="text-indent:-0.25in;"><span style="font-family:Symbol;">·<span style="font-variant:normal;font-size:7pt;line-height:normal;font-family:'Times New Roman';"> </span></span>Familiarity with UI prototyping frameworks like Streamlit, Chainlit, or Gradio.</p><p></p><p class="MsoListParagraphCxSpLast" style="text-indent:-0.25in;"><span style="font-family:Symbol;">·<span style="font-variant:normal;font-size:7pt;line-height:normal;font-family:'Times New Roman';"> </span></span>An understanding of MLOps pipelines on GCP (Vertex AI Pipelines), Azure, or AWS.</p><p></p><p class="MsoNormal"> </p><p></p><p class="MsoNormal"><span style="font-weight:bolder;">Years of experience required:</span></p><p></p><p class="MsoNormal"><span style="font-weight:bolder;"> </span></p><p></p><p class="MsoNormal">· 4- 7 years</p><p></p><p class="MsoNormal"> </p><p></p><p class="MsoNormal"><span style="font-weight:bolder;">Education qualification:</span></p><p></p><p class="MsoNormal"><span style="font-weight:bolder;"> </span></p><p></p><p></p><p class="MsoNormal">· BE/ Btech/ Mtech/ MCA/ MBA (fulltime)</p>