US Tech - Platform Engineer

Position Overview

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They transform raw data into actionable insights, enabling informed decision-making and driving business growth. Those in data science and machine learning engineering apply advanced analytics and machine learning techniques to extract insights from large datasets, develop predictive models, conduct statistical analysis, and create data visualisations to solve complex business problems.

As part of the People Tech & AI practice, you will design, build, and deploy AI- and agent-based solutions that modernize workforce, HR, and people experience platforms. In your role as a Senior Associate, you will analyze complex problems, mentor junior associates, and maintain elevated standards while supporting enterprise-scale transformation initiatives for clients and internal stakeholders.

Key Responsibilities

• Support enterprise-scale transformation initiatives for clients
• Analyze complex problems and provide strategic insights
• Mentor and guide junior associates in their roles
• Maintain rigorous standards of quality and compliance in deliverables
• Navigate complex situations to achieve project goals

Required Qualifications

• Education: Bachelor's Degree
• Experience Required: At least 3 years of experience in software, platform, or cloud engineering
• Requirements: In lieu of a Bachelor's Degree, demonstrating, in addition to the minimum years of experience required for the role, three years of specialized training and/or progressively responsible work experience in technology for each missing year of college

Preferred Qualifications

• Applying hands-on experience with Azure services and APIs
• Building scalable platforms with a focus on reliability
• Collaborating with designers, product owners, and data scientists to deliver People Tech & AI solutions
• Learning new technologies quickly and applying them
• Contributing to platform standards and documentation
• Monitoring platform health and troubleshooting issues
• Creating and executing automated tests for validation
• Designing, developing, and deploying conversational bots using Azure Bot Framework SDK and Composer, integrating Azure Cognitive Services (LUIS/Orchestrator)
• Implementing dialog flows with strong state management, proactive messaging, and secure authentication using Azure AD/SSO

Benefits & Perks

• Salary: $55,000 - $151,470 (For Washington state residents: $55,000 - $187,000)
• Benefits: A wide range including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, plus an annual discretionary bonus