1 day ago
Base Salary
$134k - $236k/yr
Responsibilities
- Partner with executives, business leaders, and enterprise architects to identify AI transformation opportunities and define measurable outcomes.
- Develop AI transformation roadmaps, value realization frameworks, governance models, and operating models.
- Define enterprise reference architectures, integration patterns, and scalable solutions for Agentic AI, virtual agents, copilots, automation, data, and customer experience orchestration.
- Lead technical and strategic execution of enterprise AI initiatives from concept through production deployment, adoption, and continuous optimization.
- Guide integrations across CRM platforms, ERP systems, data lakes, data warehouses, knowledge platforms, enterprise applications, LLM providers, and workflow automation platforms.
- Coordinate Product Management, Innovation, Professional Services, Customer Success, Support, Solution Consulting, and Engineering teams.
- Advise customers on responsible AI, risk management, security, privacy, explainability, regulatory compliance, and AI governance.
- Establish AI Centers of Excellence, adoption frameworks, reusable methodologies, accelerators, and best practices.
- Represent Genesys through thought leadership, industry events, advisory boards, executive briefings, and strategic workshops.
Requirements
- Bachelor's or Master's degree in Computer Science, Information Technology, Data Science, Business, Engineering, or a related discipline, or equivalent practical experience.
- 12+ years of experience leading enterprise technology, customer experience, automation, AI, or digital transformation initiatives.
- 5+ years of experience designing and implementing enterprise-scale AI, analytics, automation, or cloud transformation programs.
- Demonstrated success leading strategic engagements with Fortune 1000 organizations and executive stakeholders.
- Strong experience with Agentic AI, LLM orchestration, conversational AI, AI copilots, autonomous workflows, enterprise automation, RAG, knowledge management architectures, prompt engineering, AI evaluation frameworks, and model lifecycle management.
- Expertise in AWS, Microsoft Azure, and Google Cloud Platform, plus experience with REST APIs, event-driven architectures, integration platforms, enterprise data architectures, data pipelines, JSON, and AI service integration.
- Experience integrating commercial and open-source AI ecosystems including OpenAI, Anthropic, Google, Amazon Bedrock, and Microsoft Azure AI services.
- Strong understanding of customer experience technologies, contact center platforms, workforce engagement, journey orchestration, CX analytics, enterprise governance, security, privacy, compliance, and responsible AI.
- Ability to influence C-suite executives, shape enterprise technology roadmaps, lead complex transformation programs, build trusted-advisor relationships, mentor senior professionals, and operate independently in ambiguous environments.
- Experience in Financial Services, Healthcare, Insurance, Retail, Telecommunications, Public Sector, or other enterprise industries is highly desirable.
Benefits
- Medical, dental, vision, and telehealth coverage.
- Flexible work schedules and work-from-home opportunities.
- Development, career growth, mentorship, learning, leadership development, and education support.
- Open Time Off plus 10 paid holidays, paid volunteer time, and August Free Fridays.
- 401(k) matching, adoption assistance, and fertility treatments.
- The role may include commission or performance-based bonus eligibility in addition to base compensation.
- The hiring process typically includes a recruiter review, Zoom interview, hiring-manager and panel meetings, and no more than five interviews in most cases.
Tech Stack
Categories
Solutions Engineering
About Genesys
Genesys builds cloud contact center and customer experience software used by enterprises to manage voice and digital interactions, self-service, and workforce engagement. Its Genesys Cloud platform and related tools are sold as subscription services (CCaaS) with AI for routing, automation, and analytics. The company serves more than 8,000 organizations worldwide and is headquartered in Menlo Park, California.