Agentic AI & Contact Center AI Architect
@ PwC

Chicago, IL
$180,000
On Site
Full Time
Posted 23 days ago

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Job Details

Overview

At PwC, our people in Data, Analytics & AI drive client success by leveraging advanced analytical techniques to extract insights from large datasets, improve customer engagement, and support data-driven decision-making.

The Opportunity

In the role of Agentic AI & Contact Center AI Architect, you will be a strategic advisor on the Data and Analytics team. You will lead the architecture and development of innovative Customer Interaction and Contact Center AI solutions. This includes guiding cross-functional teams, shaping proposals, and interacting with senior clients, while also mentoring team members and driving thought leadership.

Key Responsibilities

  • Lead design and implementation of AI-driven customer interaction solutions.
  • Guide cross-functional teams throughout project execution.
  • Establish strategic direction and shape business development initiatives.
  • Provide thought leadership and market insights.
  • Analyze project outcomes and enhance strategies.

Skill Requirements

Applicants should be skilled in advanced data manipulation, visualization, and statistical modeling. Proficiency in DevOps, AI/ML, and leveraging cloud platforms is essential, as is experience with Amazon Q and Agentic AI Frameworks. Strong leadership, effective communication at the c-suite level, and the capacity to solve complexity are key.

Qualifications

  • Bachelor's Degree required; Master's Degree preferred.
  • Minimum 6 years of relevant experience.
  • Professional certifications from AWS, Microsoft, or Google are a plus.

Key Skills/Competency

  • Data Analytics
  • AI/ML
  • Cloud Platforms
  • DevOps
  • Agentic AI Frameworks
  • Contact Center Solutions
  • Systems Thinking
  • Leadership
  • Strategic Advisory
  • Project Management
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How to Get Hired at PwC

🎯 Tips for Getting Hired

  • Customize Your Resume: Align skills with PwC job requirements.
  • Research PwC Culture: Review mission, recent news, and employee testimonials.
  • Highlight AI Experience: Emphasize Agentic AI and cloud expertise.
  • Prepare for Technical Questions: Practice AI frameworks and analytical case studies.
  • Demonstrate Leadership: Showcase team management and strategic achievements.

📝 Interview Preparation Advice

Technical Preparation

Review AI/ML frameworks documentation.
Practice cloud platforms basics.
Study Agentic AI and Amazon Q use cases.
Prepare statistical modeling examples.

Behavioral Questions

Explain a time you led a team.
Discuss how you tackle ambiguity.
Describe managing cross-functional projects.
Share an example of strategic decision-making.

Frequently Asked Questions