Senior Associate - Azure Data Engineer - GCC - Advisory - Mumbai

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Senior Associate

Job Description & Summary

At PwC, our people in software and product innovation focus on developing cutting-edge software solutions and driving product innovation to meet the evolving needs of clients. These individuals combine technical experience with creative thinking to deliver innovative software products and solutions.

Those in software engineering at PwC will focus on developing innovative software solutions to drive digital transformation and enhance business performance. In this field, you will use your knowledge to design, code, and test cutting-edge applications that revolutionise industries and deliver exceptional user experiences.

*Why PWC

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 looking for an experienced Agentic AI SME with strong expertise in AI/ML, Generative AI, Agentic AI, and Google Cloud Platform. The ideal candidate should have hands-on experience in designing, building, and deploying enterprise-grade AI agents and GenAI solutions using Vertex AI, Google ADK, GCP Agent Platform, Cloud Run, Agent Engine, Vertex AI Search, and Gemini Enterprise.

The candidate will be responsible for architecting agent-based solutions, defining agent design patterns, integrating AI agents with enterprise systems, and driving scalable implementation of Agentic AI solutions for business use cases.

Job Position Title:

GCP Agentic AI SME, Location- Hybrid

Responsibilities:

• Design and develop scalable Agentic AI solutions using Google Cloud technologies..

• Build intelligent AI agents using Google ADK, GCP Agent Platform, Agent Engine, Vertex AI, and Gemini Enterprise.

• Define agent workflows, orchestration patterns, memory, reasoning, tool usage, and multi-agent collaboration models.

• Architect and implement Generative AI and LLM-based solutions for enterprise use cases.

• Develop and deploy AI/ML and GenAI workloads on GCP, including Cloud Run, Vertex AI, Vertex AI Search, and Agent Engine.

• Collaborate with business stakeholders to understand requirements and convert them into AI-led technical solutions.

• Lead solution design discussions and provide technical guidance to engineering teams.

• Evaluate and select appropriate LLMs, prompts, grounding approaches, retrieval patterns, and agent frameworks.

• Implement RAG-based and search-driven GenAI solutions using Vertex AI Search, Knowledge Graph.

• Ensure AI solutions are scalable, secure, reliable, and aligned with enterprise architecture standards.

• Support prototype development, solution accelerators, demos, and client presentations.

• Mentor junior team members and contribute to best practices around Agentic AI solution delivery.

Mandatory skill sets:

• Strong hands-on experience in AI/ML, Generative AI, and Agentic AI.

• Experience in designing and implementing AI agents and multi-agent workflows.

• Hands-on expertise with Google Cloud Platform and relevant GenAI services.

• Strong working knowledge of Vertex AI, Google ADK, GCP Agent Platform, Agent Engine, Cloud Run, Vertex AI Search, and Gemini Enterprise.

• Experience in Agent Design, including planning, reasoning, orchestration, tool integration, memory, and evaluation.

• Strong understanding of LLM concepts, prompt engineering, grounding, RAG, embeddings, and vector search.

• Experience deploying AI/ML or GenAI applications in cloud environments.

• Strong programming experience in Python and good understanding of APIs, microservices, and cloud-native deployment.

• Ability to translate business problems into AI/GenAI solution architectures.

• Strong communication skills with the ability to explain complex AI concepts to business and technical stakeholders.

Preferred skill sets:

• Experience with enterprise-grade GenAI solution architecture.

• Knowledge of MLOps / LLMOps practices on GCP.

• Exposure to responsible AI, model governance, security, and compliance considerations.

• Experience integrating AI agents with enterprise applications, databases, APIs, and knowledge repositories.

• Experience in building demos, accelerators, proof of concepts, and reusable solution assets.

• Prior consulting experience and client-facing solutioning experience will be an added advantage.

Years of experience :

7-12 Yrs

Education qualification:

BE, B.Tech, ME, M,Tech, MBA, MCA (60% above)

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

Degrees/Field of Study required: Bachelor of EngineeringDegrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Agentic AI

Optional Skills

Acceptance Test Driven Development (ATDD), Acceptance Test Driven Development (ATDD), Accepting Feedback, Active Listening, AI Fluency, AI-Human Collaboration, Analytical Thinking, Android, API Management, Appian (Platform), Application Development, Application Frameworks, Application Lifecycle Management, Application Software, Business Process Improvement, Business Process Management (BPM), Business Requirements Analysis, C#.NET, C++ Programming Language, Client Management, Code Review, Coding Standards, Communication, Computer Engineering, Computer Science {+ 49 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

No

Government Clearance Required?

No

Job Posting End Date

September 22, 2026