IN_ Senior Associate _Ai Engineer _Financial Services_Advisory_Bangalore

Why PWC 

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. 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.

Responsibilities: 

• Design, develop, and deploy AI-powered applications, accelerators, prototypes, and production-ready solutions. 
• Build applications using LLMs, RAG architectures, AI agents, multi-agent systems, and orchestration frameworks. 
• Develop backend services, APIs, integrations, and user interfaces for AI solutions. 
• Integrate foundation models and AI services from leading AI platforms. 
• Implement semantic search, vector databases, and enterprise knowledge retrieval solutions. 
• Build and integrate AI solutions using APIs, enterprise systems, tool calling, and modern integration frameworks such as MCP. 
• Optimize AI applications for quality, performance, scalability, reliability, and cost efficiency. 
• Implement evaluation, testing, and monitoring mechanisms to improve AI solution quality. 
• Collaborate with architects, engineers, and business stakeholders to deliver scalable solutions. 
• Contribute to reusable frameworks, accelerators, and engineering best practices. 

Mandatory skill sets: 

Generative AI 

• Strong understanding of LLMs, prompt engineering, RAG architectures, embeddings, vector databases, agentic AI, and tool calling. 
• Hands-on experience with one or more GenAI frameworks such as LangGraph, LangChain, LlamaIndex, Semantic Kernel, CrewAI, AutoGen, or similar technologies. 
• Experience working with one or more leading AI platforms such as Azure OpenAI, OpenAI, Anthropic Claude, Google Vertex AI/Gemini, AWS Bedrock, or similar technologies. 

Software Engineering 

• Strong proficiency in Python. 
• Experience building APIs using FastAPI, Flask, or similar frameworks. 
• Experience developing applications using React, Next.js, Streamlit, or similar technologies. 
• Good understanding of software design principles and development best practices. 

Cloud & Platform Engineering 

• Experience with Azure, AWS, or GCP. 
• Familiarity with containerization technologies such as Docker. 
• Understanding of CI/CD and cloud-native development practices. 

Preferred skill sets: 

• Experience with AI evaluation and observability tools such as LangSmith, RAGAS, DeepEval, Langfuse, Arize, or similar platforms. 
• Experience integrating AI solutions with enterprise applications and business systems. 
• Familiarity with AI governance, guardrails, and responsible AI practices 

Years of experience required: 5+ 

Education qualification: MBA