10d ago

IN_ Senior Associate _Ai Engineer _Financial Services_Advisory_Bangalore

Bengaluru Milleniasenior

Machine Learning EngineerData

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Quick Summary

Key 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,

Requirements Summary

MBA 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: Certifications (if blank,

Technical Tools

Machine Learning EngineerData

Advisory

Not Applicable

Operations

Senior Associate

At PwC, our people in strategy consulting focus on providing strategic guidance and insights to organisations. They analyse market trends, assess business performance, and develop recommendations to help clients achieve their goals. These individuals work closely with clients to identify opportunities for growth, optimise operations, and enhance overall business performance.

As a corporate and business strategy consultant at PwC, you will analyse client needs, provide consulting services across different strategic areas, and offer guidance and support to help clients develop and implement effective strategies that align with their business objectives and drive growth.

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

~1 min read

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Design, develop, and deploy AI-powered applications, accelerators, prototypes, and production-ready solutions.

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Build applications using LLMs, RAG architectures, AI agents, multi-agent systems, and orchestration frameworks.

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Develop backend services, APIs, integrations, and user interfaces for AI solutions.

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Integrate foundation models and AI services from leading AI platforms.

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Implement semantic search, vector databases, and enterprise knowledge retrieval solutions.

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Build and integrate AI solutions using APIs, enterprise systems, tool calling, and modern integration frameworks such as MCP.

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Optimize AI applications for quality, performance, scalability, reliability, and cost efficiency.

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Implement evaluation, testing, and monitoring mechanisms to improve AI solution quality.

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Collaborate with architects, engineers, and business stakeholders to deliver scalable solutions.

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Contribute to reusable frameworks, accelerators, and engineering best practices.

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.

Nice to Have

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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

Requirements

~1 min read

Artificial Intelligence (AI)

Accepting Feedback, Accepting Feedback, Active Listening, AI Fluency, AI-Human Collaboration, Analytical Thinking, Business Analysis, Business Opportunities, Business Process Consulting, Business Process Improvement, Business Strategy, Business Transformation, Communication, Competitive Advantage, Competitive Analysis, Conducting Research, Consumer Behavior, Creativity, Customer Experience (CX) Strategy, Customer Insight, Customer Strategy, Data Analytics, Digital Tooling, Embracing Change, Emotional Regulation {+ 17 more}

August 6, 2026