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Cloud Security & AI Consultant
Job in
Cary, Wake County, North Carolina, 27518, USA
Listed on 2026-07-10
Listing for:
Genesys
Full Time
position Listed on 2026-07-10
Job specializations:
-
IT/Tech
Cybersecurity, Information Security
Job Description & How to Apply Below
North Carolina, USAtime type:
Full time posted on:
Posted Todayjob requisition :
JR111572
** Be the one building AI-powered experiences where they matter most.
** At Genesys, we help organizations create better customer experiences through AI-powered experience orchestration. Our platform connects people, systems, data and AI to help organizations deliver more personalized service, improve operational efficiency and build stronger customer relationships.
Help build, support and operate technology used by more than 8,000 organizations in over 100 countries – moving AI from possibility to production in real-world enterprise environments every day.
** AI & Cloud Security Consultant
** United States
** Role Overview:
** Drive secure adoption of AI-powered cloud technologies for some of the world’s largest enterprises, shaping how organizations protect customer experience platforms s role influences security strategy across customer engagements, partnering directly with enterprise security leaders to strengthen trust, reduce risk, and accelerate cloud transformation. At Genesys, we are advancing customer experience through AI innovation and human-centered design, and this role plays a critical part in ensuring that innovation is secure, resilient, and enterprise-ready.
You will operate at the intersection of cloud security, AI risk, and customer advisory, bringing deep technical credibility and strategic insight to high-impact engagements. Exposure to complex enterprise environments and emerging AI security challenges provides a clear path for continued growth, visibility, and thought leadership.
*
* Key Responsibilities:
*** Serve as the primary technical security advisor for customer engagements, influencing secure adoption of Genesys Cloud AI capabilities across enterprise environments
* Lead architecture discussions that improve security posture, scalability, and resilience of customer cloud deployments
* Design and communicate AI security strategies that reduce risk, strengthen governance, and align with enterprise security frameworks
* Drive customer security reviews, audits, and technical assessments, ensuring clear articulation of security controls and risk mitigation approaches
* Translate complex security architectures into actionable guidance for both technical teams and executive stakeholders
* Guide remediation strategies for vulnerabilities and penetration testing findings, improving overall platform security and customer confidence
* Partner cross-functionally with Product, Engineering, Legal, and Compliance teams to align security messaging and technical accuracy
* Build long-term trusted relationships with customer security leaders, positioning Genesys as a strategic security partner
*
* Required Qualifications:
*** 10+ years of experience in cybersecurity, cloud security, application security, or related technical security disciplines
* Strong expertise in AWS security, cloud-native architectures, Kubernetes, APIs, and modern SaaS security models
* Proven experience securing enterprise cloud environments and cloud-native applications
* Deep understanding of identity and access management, encryption, data protection, and Dev Sec Ops practices
* Hands-on experience with security technologies such as SIEM, endpoint protection, vulnerability management, and threat intelligence
* Demonstrated ability to communicate complex technical concepts clearly to both technical and executive audiences
* Experience supporting enterprise security assessments, audits, or customer-facing security engagements
* Strong consulting and stakeholder management skills with the ability to influence senior security leaders
*
* Preferred Qualifications:
*** Experience applying OWASP Top 10 for LLM Applications and modern AI security best practices
* Familiarity with Generative AI, LLMs, or AI-enabled enterprise solutions
* Experience with AI red teaming, adversarial testing, or AI model evaluation frameworks
* AWS Security Specialty, CISSP, CCSP, GIAC, or similar certifications
* Experience with Infrastructure as Code and security automation
* Background in SaaS or cloud-native software…
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