IN_Associate_AI Engineer_GCC_Advisory_Bangalore

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Associate Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. 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. Job Description & Summary:    We are seeking a hands-on AI Engineer to design, build, integrate, and support production-grade AI applications powered by LLMs, agentic workflows, RAG, vector search, AI Gateway integrations, and cloud-native Azure services. The role requires strong experience in AI/ML engineering, backend development, prompt and context engineering, orchestration frameworks, and production readiness practices.   The engineer will work closely with products , platform, MLOps, security, compliance, and application engineering teams to deliver secure, scalable, observable, and high-quality AI features for enterprise applications .

Build application-facing AI features powered by LLMs, agentic workflows, and AI orchestration platforms.   Integrate with MLOps-managed agents and consume LLM capabilities through AI Gateway patterns including routing, authentication, policy controls, and logging.   Design and implement agentic workflows using tool calling, function calling, context handling, prompt/version management, and orchestration patterns.   Work with Agentic Layer A2A frameworks and MCP Protocol to enable interoperable agent communication and workflow execution.   Develop RAG-based solutions using vector embeddings, vector databases, Azure AI Search, Redis, Cosmos DB, and relevant cloud data stores.   Build and orchestrate LLM-powered applications using LangChain, LangGraph, and related frameworks.   Deploy scalable AI solutions on Azure using Azure Functions, Azure Container Apps, and cloud-native architecture patterns.   Optimize AI applications for latency, scalability, reliability, cost, and performance.   Implement production readiness practices including testing, observability, monitoring, evaluations, guardrails, safety controls, and incident support.   Partner with security, compliance, architecture, and platform teams to meet governance, data protection, and enterprise control requirements.   Document integration patterns, architecture, operational runbooks, evaluation practices,