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About the role

Overview: In this role, you lead design and delivery of agentic and generative AI solutions within PwC’s Advisory practice, aligning data engineering, analytics, and prompt techniques with Azure-native architectures. You own client workstreams, balance plans and budgets, and coach engineers to high-quality delivery. You will apply professional rigor to AI system decisions, identify opportunities for innovation, and help clients modernize applications to turn data into business insights. This is a role that shapes AI solutions across teams and client engagements with a focus on impact and compliance. Compensation / Benefits medical dental vision 401k holiday pay vacation
Responsibilities: Lead client workstreams to designAzure-based agentic and generative AI solutions, translating business needs into architecture, delivery plans, budgets, and milestones Design agent orchestration and conversational workflows using LangChain, LangGraph, Model Context Protocol, and LLM APIs Develop retrieval-augmented generation pipelines grounded in client data using vector databases and NLP Direct implementation with Azure AI Services, Azure OpenAI Service, Python, and C#, connecting AI to Azure-native apps and APIs Oversee deployment and maintenance through LLMOps, AKS, API Management, and cloud IAM with monitoring Evaluate models and guardrails via testing and LLM evaluation across development and release Guide engineers in AI-assisted development using GitHub Copilot and Claude Code, providing coaching on delivery challenges Coordinate with clients and delivery teams to prioritize use cases, manage dependencies, incorporate feedback, and track progress against timelines
Key requirements: Bachelor’s degree (at least) 5+ years of experience leadership and people development stakeholder management and client-facing communication problem solving with professional skepticism LangChain LangGraph Model Context Protocol

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