AI Solutions Architect at Genesys responsible for AI-powered solutions in contact centers. Designing, delivering, and optimizing AI solutions while collaborating with internal teams and customers.
Responsibilities
Engage with customers to understand business challenges and define AI-driven solutions that improve customer engagement and agent efficiency.
Design and architect AI-powered contact center solutions, integrating technologies such as Conversational AI, Agent Assist, Co-Pilot AI, and AI-driven knowledge surfacing into CCaaS environments.
Lead customer engagements from initial technical discovery through full implementation and optimization, ensuring seamless integration into their existing infrastructure.
Develop proof-of-concept (PoC) demos, prototypes, and AI solution blueprints tailored to customer needs.
Drive AI deployment projects by working cross-functionally with Professional Services, Engineering, and Product teams to ensure successful execution.
Provide hands-on technical guidance for AI model integration, chatbot development, automation workflows, and analytics.
Solve complex technical challenges and optimize AI models post-implementation to enhance accuracy, efficiency, and business impact.
Collaborate with internal teams to develop best practices, technical documentation, and training resources for AI adoption.
Act as a trusted advisor to customers, helping them navigate AI strategy, deployment, and continuous improvement.
Stay ahead of AI trends and contribute to Genesys' innovation strategy by providing real-world insights from implementation projects.
Influence AI product roadmaps by working closely with Product Management to refine features based on customer needs.
Requirements
6+ years of experience in the Contact Center industry, with hands-on experience designing and deploying AI-powered CCaaS solutions.
3+ years in a solutions engineering, technical services, or customer-facing technical role, with proven experience in AI-driven transformation.
Expertise in Conversational AI, Natural Language Processing (NLP), Machine Learning, and AI-driven analytics for customer engagement.
Strong cloud-based architecture experience, with a focus on AWS, Azure, or Google Cloud.
Proficiency in programming/scripting languages such as Java, Python, or Node.js for AI model deployment and system integrations.
Proven ability to both sell and execute AI solutions—balancing strategic planning, technical leadership, and hands-on solution delivery.
Excellent verbal and written communication skills, with the ability to translate complex AI concepts for diverse audiences.
Willingness to travel as needed for customer engagements.
Benefits
Medical, Dental, and Vision Insurance.
Telehealth coverage
Flexible work schedules and work from home opportunities
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