Genesys Cloud Services, Inc.
Sr. AI Platform Engineer
Genesys Cloud Services, Inc., Menlo Park, California, United States, 94029
Overview
Genesys empowers organizations to improve loyalty and business outcomes by creating the best experiences for customers and employees. Through Genesys Cloud, the AI-powered Experience Orchestration platform, organizations can accelerate growth by delivering empathetic, personalized experiences at scale to drive customer loyalty, workforce engagement, efficiency and operational improvements. We employ more than 6,000 people who embrace empathy and collaboration. Join the team and create the future of customer experience together. Job Summary
We are seeking a Senior AI Platform Engineer to lead the design, development, and delivery of our AI Services platform and framework, enabling enterprise-grade AI services and self-service capabilities across the organization. This role is critical to establishing the foundational platform layer that powers AI applications and services at scale. At Genesys, we are transforming the customer experience landscape with empathy, AI innovation, and global impact. Joining Genesys means becoming part of a global team redefining how companies engage with their customers while ensuring that AI is built responsibly, securely, and for long-term enterprise success. About the Team
The Data, Analytics & AI team is a central group comprised of Data Engineering, Data Platform/Technologies, Data Analytics, Data Science, Data Product, AI, and Data Governance practices. This team serves the enterprise, including sales, finance, marketing, customer success, product, and more. It acts as a core conduit and partner to operational systems that run the business, such as Salesforce and Workday. Key Responsibilities
Lead the design and delivery of the AI Services platform, providing standardized components for model serving, orchestration, retrieval-augmented generation (RAG) services, and application enablement
Define and evolve platform architecture that supports self-service adoption by developers and enterprise-grade production deployments
Build scalable APIs, SDKs, and integration patterns to make AI capabilities accessible across the enterprise
Implement secure, multi-tenant, and observable infrastructure that meets enterprise requirements for scalability, compliance, and reliability
Ensure the platform complies with governance, security, observability, and regulatory requirements
Provide self-service tools, documentation, and frameworks that empower teams to adopt AI without redundancy
Define SLAs, monitoring, and support frameworks to ensure reliability and accountability
Establish best practices and reference architectures for integrating AI into business-critical systems
Partner with AI/ML engineers and AI application developers to ensure the platform supports both model-serving and application needs
Collaborate with architects and infrastructure teams to align with broader IT strategy and standards
Act as a technical leader and mentor, guiding platform engineers and influencing stakeholders on platform-first approaches
Advocate for responsible AI practices, ensuring explainability, auditability, and safe AI usage
Required Qualifications
Bachelor's or Master's degree in Computer Science, Software Engineering, or related field
7+ years of experience in enterprise software or platform engineering, with at least 3+ years working on cloud-native and AI/ML platforms
Proven experience designing and building scalable, distributed platforms (microservices, event-driven systems, APIs)
Expertise in cloud platforms (AWS, Azure, or GCP) and container orchestration (Kubernetes, Docker)
Hands-on experience with AI platforms such as ChatGPT, AWS Q, or similar
Strong programming and automation skills (Python, Go, or Java)
Experience with MLOps and AI service delivery (model serving, pipelines, monitoring)
Familiarity with enterprise security, compliance, and governance frameworks
Preferred Qualifications
Experience building self-service developer platforms or internal developer platforms (IDPs)
Knowledge of RAG architectures, vector databases, and orchestration frameworks
Background in observability stacks (Prometheus, Grafana, OpenTelemetry)
Familiarity with multi-cloud and hybrid deployments
Strong track record of leading cross-functional teams and driving platform adoption
Compensation
This role has a market-competitive salary with an anticipated base compensation range listed below. Actual salaries will vary depending on a candidate's experience, qualifications, skills, and location. This role might also be eligible for a commission or performance-based bonus opportunities. $129,800.00 - $241,200.00 Benefits
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
More details
Details about company benefits can be found at the following link: https://mygenesysbenefits.com About Genesys
Genesys empowers more than 8,000 organizations in over 100 countries to improve loyalty and business outcomes by creating the best experiences for customers and employees. Through Genesys Cloud, the AI-powered Experience Orchestration platform, Genesys delivers the future of CX to organizations of all sizes. Visit www.genesys.com. Reasonable Accommodations
If you require a reasonable accommodation to complete any part of the application process, contact reasonable.accommodations@genesys.com. A response is typically provided within 24-48 hours. This email is intended to support job seekers requesting accommodations. Messages unrelated to accommodation requests may not receive a response. Equal Opportunity
Genesys is an equal opportunity employer committed to fairness in the workplace. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, marital status, domestic partner status, national origin, genetics, disability, military status, veteran status, and other protected characteristics. Recruiters will never ask for sensitive personal or financial information during the application phase.
#J-18808-Ljbffr
Genesys empowers organizations to improve loyalty and business outcomes by creating the best experiences for customers and employees. Through Genesys Cloud, the AI-powered Experience Orchestration platform, organizations can accelerate growth by delivering empathetic, personalized experiences at scale to drive customer loyalty, workforce engagement, efficiency and operational improvements. We employ more than 6,000 people who embrace empathy and collaboration. Join the team and create the future of customer experience together. Job Summary
We are seeking a Senior AI Platform Engineer to lead the design, development, and delivery of our AI Services platform and framework, enabling enterprise-grade AI services and self-service capabilities across the organization. This role is critical to establishing the foundational platform layer that powers AI applications and services at scale. At Genesys, we are transforming the customer experience landscape with empathy, AI innovation, and global impact. Joining Genesys means becoming part of a global team redefining how companies engage with their customers while ensuring that AI is built responsibly, securely, and for long-term enterprise success. About the Team
The Data, Analytics & AI team is a central group comprised of Data Engineering, Data Platform/Technologies, Data Analytics, Data Science, Data Product, AI, and Data Governance practices. This team serves the enterprise, including sales, finance, marketing, customer success, product, and more. It acts as a core conduit and partner to operational systems that run the business, such as Salesforce and Workday. Key Responsibilities
Lead the design and delivery of the AI Services platform, providing standardized components for model serving, orchestration, retrieval-augmented generation (RAG) services, and application enablement
Define and evolve platform architecture that supports self-service adoption by developers and enterprise-grade production deployments
Build scalable APIs, SDKs, and integration patterns to make AI capabilities accessible across the enterprise
Implement secure, multi-tenant, and observable infrastructure that meets enterprise requirements for scalability, compliance, and reliability
Ensure the platform complies with governance, security, observability, and regulatory requirements
Provide self-service tools, documentation, and frameworks that empower teams to adopt AI without redundancy
Define SLAs, monitoring, and support frameworks to ensure reliability and accountability
Establish best practices and reference architectures for integrating AI into business-critical systems
Partner with AI/ML engineers and AI application developers to ensure the platform supports both model-serving and application needs
Collaborate with architects and infrastructure teams to align with broader IT strategy and standards
Act as a technical leader and mentor, guiding platform engineers and influencing stakeholders on platform-first approaches
Advocate for responsible AI practices, ensuring explainability, auditability, and safe AI usage
Required Qualifications
Bachelor's or Master's degree in Computer Science, Software Engineering, or related field
7+ years of experience in enterprise software or platform engineering, with at least 3+ years working on cloud-native and AI/ML platforms
Proven experience designing and building scalable, distributed platforms (microservices, event-driven systems, APIs)
Expertise in cloud platforms (AWS, Azure, or GCP) and container orchestration (Kubernetes, Docker)
Hands-on experience with AI platforms such as ChatGPT, AWS Q, or similar
Strong programming and automation skills (Python, Go, or Java)
Experience with MLOps and AI service delivery (model serving, pipelines, monitoring)
Familiarity with enterprise security, compliance, and governance frameworks
Preferred Qualifications
Experience building self-service developer platforms or internal developer platforms (IDPs)
Knowledge of RAG architectures, vector databases, and orchestration frameworks
Background in observability stacks (Prometheus, Grafana, OpenTelemetry)
Familiarity with multi-cloud and hybrid deployments
Strong track record of leading cross-functional teams and driving platform adoption
Compensation
This role has a market-competitive salary with an anticipated base compensation range listed below. Actual salaries will vary depending on a candidate's experience, qualifications, skills, and location. This role might also be eligible for a commission or performance-based bonus opportunities. $129,800.00 - $241,200.00 Benefits
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
More details
Details about company benefits can be found at the following link: https://mygenesysbenefits.com About Genesys
Genesys empowers more than 8,000 organizations in over 100 countries to improve loyalty and business outcomes by creating the best experiences for customers and employees. Through Genesys Cloud, the AI-powered Experience Orchestration platform, Genesys delivers the future of CX to organizations of all sizes. Visit www.genesys.com. Reasonable Accommodations
If you require a reasonable accommodation to complete any part of the application process, contact reasonable.accommodations@genesys.com. A response is typically provided within 24-48 hours. This email is intended to support job seekers requesting accommodations. Messages unrelated to accommodation requests may not receive a response. Equal Opportunity
Genesys is an equal opportunity employer committed to fairness in the workplace. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, marital status, domestic partner status, national origin, genetics, disability, military status, veteran status, and other protected characteristics. Recruiters will never ask for sensitive personal or financial information during the application phase.
#J-18808-Ljbffr