IN_Senior Associate_ AI Engineer_Data and Analytics_Advisory_Bangalore

PwC India; Bengaluru; On-site; INR 1,200,000 - 1,700,000; Full time

Job summary

Price Waterhouse Cooper LLP in Bangalore is seeking a hands-on AI Engineer to design, build, integrate, and support production-grade AI applications powered by LLMs, agentic workflows, RAG, and cloud-native Azure services. The role requires strong experience in AI/ML engineering, backend development, prompt engineering, and production readiness.

The engineer will collaborate with product, platform, MLOps, security, and compliance teams to deliver secure, observable AI features for enterprise

Qualifications

• Experience building production AI integrations with LLMs and orchestration.
• Hands-on with Agentic AI, A2A frameworks, MCP Protocol and tooling.
• Strong background in vector embeddings, prompt/versioning, and RAG.
• Proficiency in LangChain and LangGraph.

Responsibilities

• Design and build AI features for enterprise applications.
• Integrate LLM capabilities with MLOps and AI Gateways.
• Develop agentic workflows with tool and function calls.
• Deploy scalable AI on Azure using Functions and Container Apps.
• Ensure production readiness: testing, observability, and monitoring.

Skills

LLM integrations

Agentic AI

A2A frameworks

MCP Protocol

Tool calling

LangChain

LangGraph

Python

Java/Node.js

Azure Cloud

Azure Functions

Azure Container Apps

Azure AI Search

Cosmos DB/Redis

Data platforms

Vector embeddings

RAG

Prompt engineering

Production AI

Education

B.Tech/M.Tech (CS, Mathematics & Scientific Computing)

MBA (optional)

Tools

Blob Storage

Kubernetes

Docker

CI/CD

Job description

Job Description & Summary

At PwC, our people in business application consulting specialise in consulting services for a variety of business applications, helping clients optimise operational efficiency. These individuals analyse client needs, implement software solutions, and provide training and support for seamless integration and utilisation of business applications, enabling clients to achieve their strategic objectives.

In SAP data and analytics at PwC, you will specialise in providing consulting services for data and analytics solutions using SAP technologies. You will analyse client requirements, design and implement data management and analytics solutions, and provide training and support for effective utilisation of SAP data and analytics tools. Working in this area, you will work closely with clients to understand their data needs, develop data models, perform data analysis, and create visualisations and reports to support data-driven decision-making, helping them optimise their data management processes, enhance data quality, and derive valuable insights from their data to achieve their strategic objectives.

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 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.

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.

Job Position Title

Senior Associate AI Engineer Data and Analytics Advisory Bangalore

Responsibilities

• 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, and reusable engineering components.

Mandatory Skill Set

• Experience building production AI integrations using LLMs, agents, orchestration frameworks, and APIs.
• Hands-on experience with Agentic AI, A2A frameworks, MCP Protocol, tool/function calling, and workflow orchestration.
• Strong expertise in vector embeddings, prompt engineering, prompt versioning, context engineering, and RAG.
• Experience with LangChain and LangGraph.
• Strong programming skills in Python and at least one backend language such as Java or Node.js.
• Proficiency in Azure Cloud deployment.
• Experience with Azure AI Search, vector databases, Redis, Cosmos DB, and related data platforms.
• Proven ability to design and manage Azure Functions and Azure Container Apps.
• Strong software engineering fundamentals including testing, observability, reliability, secure integration, and production support.
• Familiarity with evaluation methods, guardrails, monitoring, and safety/quality controls.
• Strong understanding of cloud-native architecture, scalability, and performance optimization.
• Strong interpersonal / good negotiations skills are required.

Preferred Skill Set

• Experience with Blob Storage, Iceberg, Kubernetes, Docker, CI/CD, and MLOps pipelines.
• Exposure to Azure AI Foundry, Azure OpenAI, AWS AI services, or multi-cloud AI platforms.
• Experience with enterprise AI Gateway patterns, policy enforcement, and GenAI governance.
• Experience building reusable AI starter kits, orchestration templates, evaluation harnesses, or observability frameworks.
• Knowledge of responsible AI, data privacy, compliance, and secure enterprise AI delivery.

Years of experience required

Experience: 4 – 7 Years

Education qualification

-B.Tech/M.Tech(Computer Science, Mathematics & Scientific Computing etc.)

Education

(if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Technology, MBA (Master of Business Administration)

Degrees/Field of Study preferred:

Certifications

(if blank, certifications not specified)

Required Skills

SAP BW/4HANA

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, AI Fluency, AI-Human Collaboration, Analytical Thinking, Communication, Complex Data Analysis, Creativity, Data Analysis Software, Data Collection, Data-Driven Consulting, Data Integration, Data Mining, Data Modeling, Data Preprocessing, Data Quality, Data Quality Improvement Plans (DQIP), Data Security, Data Visualization, Digital Tooling, Embracing Change, Emotional Regulation, Empathy, Inclusion {+ 13 more}

Desired Languages

(If blank, desired languages not specified)