Senior Associate – Azure Data Engineer, Advisory

Overview

PwC is seeking a GCP Agentic AI SME to design, build, deploy, and scale enterprise-grade AI agents and Generative AI solutions using Google Cloud technologies.

What you'll do

• 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 and 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.

What you'll need

• 7 - 12 Yrs of experience.
• BE, B.Tech, ME, M.Tech, MBA, or MCA qualification with 60% above.
• 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.

Nice to have

• 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.

Details

• Location: Mumbai Shivaji Park.
• Work mode: Hybrid.
• Government clearance is not required.
• Available for work visa sponsorship: No.