Job Description

Industry/Sector

Not Applicable

Specialism

Product Innovation

Management Level

Senior Manager

Job Description & Summary

The Opportunity

As a Senior Manager, Agentic Engineering Lead, you will guide the design and delivery of agentic and generative AI solutions for clients within our Advisory practice. In this role, you will bring together data engineering, analytical modeling, prompt engineering, and retrieval-augmented generation to develop AI applications grounded in useful information. Working with cloud and product engineering teams, you will shape Azure-native architectures and guide solutions through development, testing, deployment, and maintenance. Your work will help clients modernize applications and turn data into insights that support business decisions.

As a Manager, you will take ownership of client workstreams, balancing plans, budgets, timelines, and deliverable quality while making informed decisions across technical and business needs. You will coach engineers through thoughtful work reviews, draw on their individual strengths, and address challenges candidly with clients and colleagues. By examining how components of an AI system interact, you will apply professional skepticism to technical decisions and uphold professional standards, integrity, and independence requirements. You will also identify opportunities for innovation, use firm methods and technology resources to improve delivery, and help your team adapt as client priorities evolve.

Responsibilities

• Leading client workstreams to design agentic and generative AI solutions on Microsoft Azure, translating business needs into technical architecture, delivery plans, budgets, and milestones
• Designing agent orchestration and conversational workflows with LangChain, LangGraph, Model Context Protocol, and LLM APIs, incorporating context and prompt engineering
• Developing retrieval-augmented generation pipelines using vector databases, natural language processing, and data science methods to ground model responses in client data
• Directing implementation with Azure AI Services, Azure OpenAI Service, Python, and C#, connecting AI capabilities to Azure-native applications and APIs
• Overseeing deployment and maintenance through LLMOps, Azure Kubernetes Service, Azure API Management, and cloud identity and access management, including operational monitoring
• Evaluating models and agent behavior through testing, LLM evaluation, and guardrails, reviewing functionality, performance, and security throughout development and release
• Guiding engineers in AI-assisted development using GitHub Copilot and Claude Code, reviewing technical work and coaching team members through delivery challenges
• Coordinating with clients and delivery teams to prioritize use cases, resolve technical dependencies, incorporate feedback, and track progress against project timelines

What You Must Have

• At least a Bachelor's degree
• At least 5 years of experience

What Sets You Apart

• Leading teams through the design, deployment, and maintenance of client generative AI and agentic solutions
• Orchestrating agents with LangGraph, LangChain, and Model Context Protocol across multiagent workflows
• Building retrieval-augmented generation pipelines using vector databases, context engineering, and LLM APIs
• Deploying AI applications with Azure OpenAI Service, Azure Kubernetes Service, and Azure API Management
• Evaluating LLM outputs and guardrails while managing LLMOps testing and ongoing model performance
• Guiding Python and C#.NET development using GitHub Copilot and Claude Code across application delivery
• Coaching engineering teams through feedback and code reviews while managing project timelines and client deliverables

Travel Requirements

Up to 80%

Job Posting End Date

The salary range for this position is: $124,000 - $280,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. 

PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.

Learn more about how we work: https://pwc.to/how-we-work

For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.

Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines