US Tech - AI Engineering Manager

About the Role

As part of the People Tech & AI team you will lead the design, build, and operation of scalable, secure, and intelligent platforms that enable AI-powered employee and client experiences across the Firm. As a Manager you will combine engineering knowledge with people leadership to deliver resilient platforms that integrate cloud infrastructure, conversational AI, data, and enterprise systems. This role allows you to be at the forefront of technological advancement while mentoring the next generation of engineers and shaping the future of AI solutions.

What You'll Do

• Mentor junior engineers and foster their growth
• Maintain security and scalability of AI-powered solutions
• Collaborate with cross-functional teams to achieve project goals
• Stay at the forefront of technological advancements in AI

Key Skills & Experience

Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:

• Analyse and identify the linkages and interactions between the component parts of an entire system
• Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion
• Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables
• Develop skills outside your comfort zone, and encourage others to do the same
• Effectively mentor others
• Use the review of work as an opportunity to deepen the expertise of team members
• Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate
• Uphold and reinforce professional and technical standards, the Firm's code of conduct, and independence requirements

Minimum Qualifications

• Bachelor's Degree
• At least 6 years of experience in software, platform, or cloud engineering, including people leadership
• 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

• Master's Degree preferred
• Proven experience leading cloud and platform engineering teams
• Hands-on experience with Azure, DevOps, and enterprise integration patterns
• Systems thinking to design end-to-end platforms
• Coaching and mentoring engineers to foster a culture of excellence
• Managing delivery plans, dependencies, and risks effectively
• Operating production platforms with a focus on reliability and security
• Working with product owners, UX, data science, and security teams to translate People Tech & AI use cases into scalable platform capabilities
• Defining and enforcing automated testing strategies
• Architecting, building, and deploying conversational bots using Azure Bot Framework SDK and Composer, integrating Azure Cognitive Services (LUIS/Orchestrator) and enterprise channels (Microsoft Teams, Web Chat, Direct Line)
• Leading platform engineering teams delivering cloud-native services and AI-enabled platforms aligned to PwC People Tech & AI strategy

Pay & Benefits

• Salary range: $73,500 - $212,280 (for Washington state residents: $73,500 - $244,000)
• Actual compensation dependent upon individual's skills, experience, qualifications and location, and applicable employment laws
• All hired individuals are eligible for an annual discretionary bonus
• Benefits include medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more