Senior Solution Architect, AI & Platform

Genesys

. Lead technical discovery, architecture, whiteboarding, customized demonstrations, trial engagements, and value assessments for complex enterprise opportunities .

Posted 11/9/2026full-timeRemote • United States, CanadaSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates extensive expertise in architecting and implementing enterprise voice and AI solutions, with a strong focus on SIP trunking, AWS services, and real-time media performance. Proven ability to communicate complex technical concepts to diverse stakeholders and drive architectural decisions that align with enterprise requirements.

Highest-signal resume keywords

SIP Trunking DesignAWS Architecture ExpertiseRESTful API IntegrationEnterprise AI Solutions ArchitectureReal-Time Media Performance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SIP TrunkingWebRTCSession Border ControllersOSPFBGPMPLSSD-WANAWS EC2AWS LambdaRESTful APIs

Soft Skills

Executive CommunicationInfluencing StakeholdersTechnical Presentation Skills

Tools & Technologies

EventBridgeAI-Assisted Development ToolsGenesys Cloud AI

Industry Keywords

Contact CenterSolutions EngineeringTechnical PresalesTechnical ServicesMachine LearningNLUNLP

Tech Stack

Tools & technologies

AWSCloudEC2

About the role

Key responsibilities & impact

Lead technical discovery, architecture, whiteboarding, customized demonstrations, trial engagements, and value assessments for complex enterprise opportunities
Own end-to-end enterprise voice architecture across SIP trunking, WebRTC, Session Border Controllers, media paths, codec strategy, transcoding, failover, and carrier interconnect
Drive network architecture decisions across OSPF, BGP, MPLS, SD-WAN, NAT/CGNAT, QoS, and firewall concepts
Architect VDI and AWS solutions using EC2, Lambda, and EventBridge
Design API and integration architectures using RESTful APIs, webhooks, event-driven patterns, authentication, and error handling
Architect production-ready AI solutions combining LLMs, deterministic workflows, tools, orchestration, human handoffs, and fallback strategies
Design scalable RAG and enterprise knowledge architectures
Establish AI evaluation and observability frameworks covering accuracy, retrieval quality, tool-call performance, containment, safety, drift, latency, and cost
Engineer contextual experiences using real-time customer data, interaction history, and conversation state
Connect Genesys Cloud AI capabilities with MCP and A2A interoperability approaches to practical enterprise use cases
Influence product direction through field insights, product guidance, engineering collaboration, and beta testing
Scale technical capability across Solution Consulting, partners, and account teams through blueprints, accelerators, workshops, training, and escalation support
Represent Genesys at industry events and support RFI/RFP and contracting activities
Partner with account teams, customers, Professional Services, Product Management, and Engineering from technical discovery through validation and production pilots

Requirements

What you’ll need

Deep hands-on expertise in SIP trunking design and troubleshooting, WebRTC, and Session Border Controllers, including SIP signaling, media negotiation, and carrier integration
Strong background in OSPF, BGP, MPLS, SD-WAN, NAT/CGNAT, routing, QoS, and firewall concepts governing real-time media performance
Demonstrated experience architecting and supporting VDI environments for contact center and remote-agent populations
Strong AWS architecture expertise, including EC2, Lambda, and EventBridge
Deep experience with RESTful APIs, event-driven architecture, authentication patterns, and complex enterprise system integration
Demonstrated ability to make and defend architectural tradeoffs across security, reliability, scalability, latency, cost, and enterprise requirements
Proven ability to communicate complex architecture decisions to technical, sales, and executive stakeholders
Ability and willingness to travel approximately 50% of the time
7+ years of relevant technical experience, including 5+ years in solutions engineering, technical presales, or technical services
Bachelor's degree in Electrical Engineering, Computer Science, or a related field
Hands-on experience architecting enterprise AI solutions across machine learning, NLU/NLP, retrieval-based systems, LLMs, orchestration patterns, tool use, and agentic AI
Demonstrated architectural judgment across model selection, latency, cost, explainability, governance, multilingual requirements, security, scalability, and business risk
Experience designing real-time enterprise systems with secure data access, reliability controls, fallback paths, and failure handling
Proficiency with AI-assisted development tools such as Cursor, OpenAI Codex, Kiro, or comparable platforms
Proven ability to deliver compelling technical demonstrations and presentations
Strong executive communication and presence, with experience influencing CIO, CTO, and other senior technical stakeholders
Contact center industry experience strongly preferred

Benefits

Comp & perks

Medical, Dental, and Vision Insurance
Telehealth coverage
Flexible work schedules and work from home opportunities
Development and career growth opportunities
Open Time Off in addition to 10 paid holidays
401(k) matching program
Adoption Assistance
Fertility treatments
Paid volunteer time
August Free Fridays
Well-being resources
Regionally tailored programs for employees and their families
Mentorship, learning programs, leadership development and education support