IN_Senior Associate_AI Engineer_Data and Analytics_Advisory_Bangalore

PwC is hiring an IN_Senior Associate_AI Engineer_Data and Analytics_Advisory_Bangalore. Level rates it ; you can apply on PwC.

Level's read on this job

Builds AI ●●●● is how Level rates this role: the job is building AI systems.
PwC mentions visa sponsorship in this posting.
Tools and skills the posting cites include OpenAI, LangChain and LangGraph.
Level lists 3,800+ other open roles at PwC.
The role was posted in the last few days.

AI in this role

openailangchainlanggraphazure-openai

prompt-engineeringragai-agentsml-opsai-safety

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Senior Associate

Job Description & Summary

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.

In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage.

*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:

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 Sets:

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 Sets:

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:

4-8 Yrs

Education qualification:

B.E, B.Tech, M.E, MCA, M.Tech

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required: Master of Engineering, Bachelor of Engineering

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Airflow Management

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, AI Fluency, AI-Human Collaboration, Analytical Thinking, Applied Macroeconomics, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Digital Tooling, Embracing Change {+ 27 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date

April 15, 2026

How we rate this

IN_Senior Associate_AI Engineer_Data and Analytics_Advisory_Bangalore at PwC rates 91 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

IN_Senior Associate_AI Engineer_Data and Analytics_Advisory_Bangalore is an open job at PwC.
Level rates this role AI Level 4 of 4: Builds AI.
The role is based in Bengaluru Millenia.
The job was posted on October 28, 2026.
Applications are handled by PwC. Apply on PwC

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Prompt engineeringRAGAI agentsML OpsAI SafetyOpenAILangChainLangGraph

Questions you could be asked

How do you structure and test a prompt to get consistent output from a language model?
How would you design a retrieval step so the model answers from real data instead of guessing?
How do you decide when an AI agent can act on its own versus asking for approval first?
How do you monitor a model once it's live, and how do you know it needs retraining?
How do you think about the risk of an AI system in this kind of role failing silently?

Adapt your resume

List these exact terms on your resume: Prompt engineering, RAG, AI agents, ML Ops, and AI Safety. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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