Agentic AI & Contact Center AI Architect
@ PwC

Chicago, IL
$200,000
On Site
Full Time
Posted 23 days ago

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Job Details

Overview

At PwC, the Agentic AI & Contact Center AI Architect role is focused on designing and implementing innovative AI solutions for customer interactions. You will leverage advanced analytics techniques and technical leadership to drive project success within the Data and Analytics team.

The Opportunity

In this full-time role, you will lead the architecture design and development of Customer Interaction and Contact Center AI solutions. This includes guiding cross-functional teams, shaping proposals, and delivering thought leadership at a senior level.

Responsibilities

  • Lead design and implementation of AI solutions.
  • Guide teams through every project phase.
  • Establish strategic direction for digital contact solutions.
  • Interact with senior clients and provide insights.
  • Mentor teams and integrate modern architecture patterns.

Skills & Experience

The ideal candidate will have at least 6 years of experience with a Bachelor’s degree (Master’s preferred) and certifications from AWS, Microsoft, or Google. You must demonstrate expertise in DevOps, AI/ML, cloud platforms, and modern architecture frameworks.

Key skills/competency

  • AI
  • Agentic
  • Contact Center
  • Analytics
  • Architecture
  • Cloud
  • DevOps
  • Leadership
  • Data
  • Coaching

Additional Information

This role involves up to 60% travel and is based in Maryland. Compensation depends on skills and experience within the range of $124,000 to $280,000 plus potential bonuses.

How to Get Hired at PwC

🎯 Tips for Getting Hired

  • Research PwC's culture: Understand their values and mission.
  • Customize your resume: Highlight AI and analytics leadership.
  • Emphasize technical skills: List cloud, DevOps, and AI projects.
  • Prepare for interviews: Rehearse technical and leadership questions.

📝 Interview Preparation Advice

Technical Preparation

Review cloud platform architectures.
Practice DevOps and AI/ML projects.
Study modern architecture patterns.
Familiarize with agent frameworks usage.

Behavioral Questions

Describe a challenging team project.
Explain decision-making under ambiguity.
Share examples of coaching colleagues.
Discuss handling client feedback effectively.

Frequently Asked Questions