IN_Sr Associate _Gen AI_Emerging Businesses_Advisory_Bangalore

PwC

Bengaluru

On-site

INR 1,200,000 - 1,800,000

Full time

14 days+

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Job summary

PwC is seeking a Senior Associate in Gen AI development to design and deploy enterprise-grade AI solutions within the Emerging Technologies domain in Bangalore. You will orchestrate LLMs, integrate with major cloud AI services, and build scalable AI solutions for clients.

You will work on responsible AI, guardrails, and PoC initiatives, collaborating with advisory teams to deliver transformational outcomes in a fast-paced environment.

Qualifications

4–7 years of software development experience and CS fundamentals.
Expert Python programming with strong libraries.
API development with REST/GraphQL using FastAPI/Flask/Django.

Responsibilities

Develop and deploy enterprise-grade Generative AI applications, APIs, and microservices.
LLM orchestration and RAG pipelines to ground LLMs on enterprise data.
Build multi-agent systems and autonomous workflows for complex business processes.
Integrate models via enterprise cloud environments (Azure OpenAI, AWS Bedrock, GCP Vertex AI/Model Garden).
Implement safety, privacy controls and guardrails; monitor production DL systems.
Prototype PoCs to showcase GenAI capabilities to internal leaders and clients.

Skills

4+ years software development

Python programming

API development

Cloud platforms (GCP/Azure/AWS)

SQL/NoSQL databases

LangChain / LlamaIndex / LangGraph

Vector databases & search

Prompt engineering

Embeddings & semantic search

Docker & Kubernetes

Git-based CI/CD

LLM monitoring tools

Education

BE / BTech / MTech / MCA / MBA (fulltime)

Tools

LangChain

LlamaIndex

LangGraph

Docker

Kubernetes

Git

LangSmith

Job description

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Emerging Technologies

Management Level

Senior Associate

Job Description & 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).

Why PWC

At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes forour clients and communities. This purpose‑led and values‑driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences foreach other. Learn more about us

At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations.

GenAI: Job Description & Summary: Job Position Title: IN_Senior Associate_Gen AI developer _Emerging Business_Advisory_Bangalore (India)

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.

Mandatory skill sets

3–6 years of experience in software development with strong 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’s 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 skill sets

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.

Years of experience required: 4- 7 years

Education qualification

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

Education

(if blank, degree and/or field of study not specified)

Degrees/Field of Study required: Master of Business Administration

Degrees/Field of Study preferred:

Required Skills

Generative AI

Optional Skills