Senior Associate, Azure AI Engineer

Summary: Design and develop generative AI solutions using Azure services, Python, and LLM APIs. Build conversational applications, orchestrate AI agents, and create cloud-native microservices for clients while mentoring junior team members.

Industry/Sector
Not Applicable

Specialism
Product Innovation

Management Level
Senior Associate

Job Description & Summary

The Opportunity

As a Senior Associate - Azure AI Engineer you will design and develop generative AI solutions for clients within our Advisory practice, applying Azure-based engineering to application development and modernization. In this role, you will shape AI architectures from analytical modeling and prompt engineering through testing, deployment, and maintenance. Using Python, Azure AI Services, and large language model APIs, you will build applications that use retrieval-augmented generation and vector databases to ground responses in client data. You will also develop agent workflows with LangGraph, coordinating models, tools, and application components to address business challenges.

As a Senior Associate, you will own assigned workstreams and deliverables, using critical thinking when technical choices or client requirements are unclear. You will build meaningful client connections by listening to different perspectives, anticipating needs, and explaining tradeoffs in the context of broader business goals. Guiding junior colleagues and reviewing their work will help you develop your approach to managing others while maintaining professional and technical standards. Through feedback and reflection, you will deepen your technical skills, adapt to changing project conditions, and build your professional reputation through dependable delivery.

Responsibilities

• Designing Azure-based generative AI architectures and analytical models that turn client data into actionable insights and translate business needs into technical deliverables
• Building conversational applications with Azure AI Services, Azure OpenAI Service, LLM APIs, prompt engineering, and context engineering to support client decision-making
• Developing retrieval-augmented generation pipelines using data modeling, information retrieval systems, and vector databases to ground model responses in source data
• Orchestrating AI agents with LangGraph, LangChain, and Model Context Protocol, coordinating tool access, shared state, and error handling across workflows
• Creating cloud-native microservices in Python, C#, and JavaScript, integrating AI capabilities with existing applications through Azure API Management and enterprise service buses
• Applying GitHub Copilot and Claude Code across development and testing, using DevOps and LLMOps practices to deploy and maintain solutions on Azure Kubernetes Service
• Evaluating model outputs and application behavior through LLM evaluation, guardrails, and performance monitoring, while applying identity, access, and key management controls
• Collaborating with clients and colleagues to clarify requirements, manage assigned workstreams, review deliverables, mentor junior team members, and incorporate feedback throughout the development life cycle

What You Must Have

• At least a Bachelor's degree
• At least 3 years of experience

What Sets You Apart

• Building generative AI applications with Azure AI Services, Azure OpenAI Service, and LLM APIs for client projects
• Orchestrating AI agent workflows with LangGraph and Model Context Protocol, including tool integration and error handling
• Developing retrieval-augmented generation pipelines with vector databases and context engineering
• Evaluating LLM outputs and applying guardrails during prompt engineering, testing, and application development
• Deploying Python or C# microservices on Microsoft Azure using DevOps practices, Azure Kubernetes Service, and application monitoring
• Guiding junior team members through technical reviews while communicating design tradeoffs and navigating changing client priorities

Travel Requirements
Up to 80%

Job Posting End Date

The salary range for this position is: $77,000 - $202,000. 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