Senior AI Solutions Architect for Enterprise CX

Genesys

Oklahoma City (OK)

Remote

USD 111,000 - 194,000

Full time

5 days ago
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Benefits offered by this job

Medical, Dental, Vision Insurance
Flexible work schedules
Work from home opportunities
401(k) matching program
Career growth opportunities

Job summary

Genesys is seeking a Lead AI Solutions Architect in North America to shape end-to-end AI-powered digital customer experiences for large enterprises. You will set architecture standards, guide delivery teams, and partner with clients to translate business goals into scalable technical designs.

You will lead workshops, review designs, ensure governance and responsible AI practices, and contribute reusable reference architectures.

Qualifications

  • 7+ years in solution architecture or enterprise software delivery
  • Hands-on familiarity with Genesys Cloud or comparable CCaaS/CPaaS platforms
  • Experience designing digital customer experiences across channels
  • Proven ability to design AI-powered solutions (digital agents, copilots, knowledge systems)
  • Strong understanding of cloud integration patterns and security-by-design practices
  • Experience leading architecture sessions and presenting to stakeholders

Responsibilities

  • Define end-to-end AI-powered digital solution architectures for customer programs
  • Lead architecture workshops and technical design discussions with customers
  • Guide consultants and implementation teams through complex challenges
  • Translate business requirements into practical technical designs
  • Contribute reusable assets, reference architectures and best practices

Skills

Architectural leadership
Cloud integration
Enterprise consulting
AI governance
Technical communication
Problem solving
Cross-team collaboration

Tools

Genesys Cloud
REST APIs
JSON
AWS/Azure/GCP

Job description

Genesys is seeking a Lead AI Solutions Architect in North America to shape end-to-end AI-powered digital customer experiences for large enterprises. You will set architecture standards, guide delivery teams, and partner with clients to translate business goals into scalable technical designs.

You will lead workshops, review designs, ensure governance and responsible AI practices, and contribute reusable reference architectures.

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