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Mumbai · On-site · 4-7 Yrs · Sep 29
3 views
27 open roles7 posted in 7d27 in 30d
Hiring: Engineering
Job description
Overview
Line of Service Advisory
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.
Qualifications
- 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.
- Strong programming skills in Python and at least one backend language such as Java or Node.js.
- Proficiency in Azure Cloud deployment.
- 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.
- Exposure to Azure AI Foundry, Azure OpenAI, AWS AI services, or multi-cloud AI platforms.
- Knowledge of responsible AI, data privacy, compliance, and secure enterprise AI delivery.
- Data Analyzer, Data Center Engineering
- Optional Skills
- Accepting Feedback, Accepting Feedback, Active Listening, AI Fluency, AI-Human Collaboration, AI Implementation, C++ Programming Language, Communication, Complex Data Analysis, Data Analysis, Data Infrastructure, Data Integration, Data Modeling, Data Pipeline, Data Quality, Deep Learning, Digital Tooling, Emotional Regulation, Empathy, GPU Programming, Inclusion, Intellectual Curiosity, Java (Programming Language), Machine Learning, Machine Learning Libraries {+ 23 more}
- Desired Languages (If blank, desired languages not specified)
- Travel Requirements
- Available for Work Visa Sponsorship?
- Government Clearance Required?
- Job Posting End Date
- October 13, 2026
Education
- Degrees/Field of Study required: Bachelor of Engineering
- Degrees/Field of Study preferred:
- Certifications (if blank, certifications not specified)
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Job application FAQ
Last updated 27 October 2026
- How do I apply for IN_Associate_ AI Engineer_GCC_Advisory_Mumbai at PwC India?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. PwC India may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this IN_Associate_ AI Engineer_GCC_Advisory_Mumbai role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is IN_Associate_ AI Engineer_GCC_Advisory_Mumbai remote or on-site in Mumbai, Maharashtra?
- This listing is marked on_site with location Mumbai, Maharashtra. Confirm details on the job description before applying.
- What skills matter for this IN_Associate_ AI Engineer_GCC_Advisory_Mumbai role at PwC India?
- Key skills for this role include skills listed in the job description. Upload a resume to see which requirements you already meet and which are gaps.