Principal Agentic AI Solutions Architect
Genesys · Texas, United States
About this role
Genesys is hiring a principal-level Solutions Architect in the software engineering function based in Texas, United States. The posting calls out experience with REST APIs, AWS, GCP, Azure. Compensation is listed at $134,300–$236,100 per year.
- Role
- Solutions Architect
- Function
- software engineering
- Level
- principal
- Track
- Tech leadership
- Employment
- Full-time
- Location
- Texas, United States
- Posted
- May 19, 2026
More roles at Genesys
Job description
from Genesys careersGenesys empowers organizations of all sizes to improve loyalty and business outcomes by creating the best experiences for their customers and employees. Through Genesys Cloud, the AI-powered Experience Orchestration platform, organizations can accelerate growth by delivering empathetic, personalized experiences at scale to drive customer loyalty, workforce engagement, efficiency and operational improvements.
We employ more than 6,000 people across the globe who embrace empathy and cultivate collaboration to succeed. And, while we offer great benefits and perks like larger tech companies, our employees have the independence to make a larger impact on the company and take ownership of their work. Join the team and create the future of customer experience together.
About this Role
This role is to support a newly launched Agentic AI Orchestration program. It blends deep technical execution with customer-facing leadership and outcome ownership
As an Agentic AI Orchestrator at Genesys, you will serve as the strategic and technical bridge between customer ambitions and successful AI transformation through empathy, collaboration, and innovation.
You will partner directly with strategic customers across the North America region to design, prototype, and continuously optimize Genesys AI solutions that drive measurable improvements in customer experience and business performance.
This role offers the opportunity to make a lasting impact by helping enterprises move from AI exploration to continuous transformation.