Senior Associate - Generative AI Developer
PriceWaterhouseCoopers Pvt Ltd ( PWC )
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Job summary
PwC in Bengaluru seeks a Senior Associate in Gen AI for Emerging Businesses within Advisory. You will design, develop, and deploy GenAI solutions, integrating AI models and services to modernize client architectures and drive transformative outcomes.
The role emphasizes collaboration with clients and teams to deliver enterprise-grade AI solutions, governance, and responsible AI practices in a fast-paced consulting environment.
Qualifications
- 4–7 years of experience in software development with strong CS fundamentals.
- Expert Python programming and deep proficiency in Python and its libraries.
- API development with RESTful/GraphQL using FastAPI, Flask, or Django.
- Hands-on cloud AI ecosystems (GCP/Azure/AWS).
- SQL/NoSQL databases proficiency.
- Experience with LangChain, LlamaIndex, or LangGraph.
- Vector databases/search (e.g., Pinecone, Milvus).
- Prompt engineering, embeddings, and advanced chunking strategies.
Responsibilities
- Develop and deploy enterprise-grade Generative AI applications, APIs, and microservices.
- Optimize Retrieval-Augmented Generation pipelines and ground LLMs on enterprise data.
- Build multi-agent systems and autonomous workflows for complex business processes.
- Integrate leading models via enterprise clouds (Azure/ AWS/ GCP).
- Implement Responsible AI governance and monitoring in production.
- Prototype PoCs to showcase GenAI capabilities to internal and external stakeholders.
Skills
Education
Tools
Job description
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).
At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our 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 for each other.
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.
IN_Senior Associate_Gen AI developer _Emerging Business_Advisory_Bangalore (India)
- 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.
- 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.
- GCP: Vertex AI Search, Vertex AI Conversation, Vertex AI Model garden (Gemini API)
- Microsoft Azure: Azure AI Search, Azure Cloud Search, Azure Cognitive Search
- AWS: Amazon Bedrock, Amazon SageMaker
- 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.
- 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).
- 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.
4- 7 years
BE/ Btech/ Mtech/ MCA/ MBA (fulltime)
(if blank, degree and/or field of study not specified)
Bachelor of Technology
(if blank, certifications not specified)
Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Artificial Intelligence, Business Planning and Simulation (BW-BPS), Communication, Competitive Advantage, Conducting Research, Creativity, Digital Transformation, Embracing Change, Emotional Regulation, Empathy, Implementing Technology, Inclusion, Innovation Processes, Intellectual Curiosity, Internet of Things (IoT), Learning Agility, Optimism, Product Development, Product Testing, Prototyping, Quality Assurance Process Management {+ 10 more}
(If blank, desired languages not specified)
Available for Work Visa Sponsorship? Government Clearance Required?
September 13, 2026
Senior Level
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