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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing Azure-based generative AI architectures and developing cloud-native microservices using Python and C#. Proficient in orchestrating AI workflows and integrating AI capabilities into existing applications while mentoring junior team members.
Highest-signal resume keywords
Azure AI ServicesGenerative AI ApplicationsLangGraphDevOps PracticesPython Microservices
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Generative AI ArchitecturesData ModelingInformation Retrieval SystemsVector DatabasesPrompt EngineeringContext EngineeringApplication MonitoringLLM EvaluationMicroservices DevelopmentError Handling
Soft Skills
CollaborationMentoringCommunicationFeedback IncorporationClient Management
Tools & Technologies
Azure OpenAI ServiceAzure Kubernetes ServiceGitHub CopilotClaude CodeAzure API Management
Certifications & Qualifications
Bachelor's Degree
Industry Keywords
AI AgentsRetrieval-Augmented GenerationCloud-Native ApplicationsEnterprise Service BusLLMOps
Tech Stack
Tools & technologiesAzureCloudJavaScriptKubernetesMicroservicesPython
About the role
Key responsibilities & impact- Design Azure-based generative AI architectures and analytical models that turn client data into actionable insights
- Translate business needs into technical deliverables
- Build conversational applications with Azure AI Services, Azure OpenAI Service, LLM APIs, prompt engineering, and context engineering
- Develop retrieval-augmented generation pipelines using data modeling, information retrieval systems, and vector databases
- Orchestrate AI agents with LangGraph, LangChain, and Model Context Protocol
- Create cloud-native microservices in Python, C#, and JavaScript
- Integrate AI capabilities with existing applications through Azure API Management and enterprise service buses
- Apply GitHub Copilot and Claude Code across development and testing
- Use DevOps and LLMOps practices to deploy and maintain solutions on Azure Kubernetes Service
- Evaluate model outputs and application behavior through LLM evaluation, guardrails, and performance monitoring
- Apply identity, access, and key management controls
- Collaborate with clients and colleagues to clarify requirements and manage assigned workstreams
- Review deliverables and mentor junior team members
- Incorporate feedback throughout the development life cycle
Requirements
What you’ll need- At least a Bachelor's degree
- At least 3 years of experience
- Experience building generative AI applications with Azure AI Services, Azure OpenAI Service, and LLM APIs for client projects
- Experience orchestrating AI agent workflows with LangGraph and Model Context Protocol, including tool integration and error handling
- Experience developing retrieval-augmented generation pipelines with vector databases and context engineering
- Experience evaluating LLM outputs and applying guardrails during prompt engineering, testing, and application development
- Experience deploying Python or C# microservices on Microsoft Azure using DevOps practices, Azure Kubernetes Service, and application monitoring
- Experience guiding junior team members through technical reviews while communicating design tradeoffs and navigating changing client priorities
- Ability to travel up to 80%
- Must not require PwC sponsorship through the H-1B lottery, now or in the future, except as set forth in PwC policy
Benefits
Comp & perks- Annual discretionary bonus
- Medical insurance
- Dental insurance
- Vision insurance
- 401k
- Holiday pay
- Vacation
- Personal and family sick leave