Genesys
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Sr. Cloud Platform Engineer
role at
Genesys .
Job Summary We are seeking a Senior Cloud 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.
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 $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
About Genesys Genesys® empowers more than 8,000 organizations worldwide to create the best customer and employee experiences. With agentic AI at its core, Genesys Cloud™ is the AI‑Powered Experience Orchestration platform that connects people, systems, data and AI across the enterprise. As a result, organizations can drive customer loyalty, growth and retention while increasing operational efficiency and teamwork across human and AI workforces.
Reasonable Accommodations If you require a reasonable accommodation to complete any part of the application process, or are limited in your ability to access or use this online application and need an alternative method for applying, you or someone you know may contact us at reasonable.accommodations@genesys.com.
Genesys is an equal opportunity employer committed to fairness in the workplace. We evaluate qualified applicants without regard to race, color, age, religion, sex, sexual orientation, gender identity or expression, marital status, domestic partner status, national origin, genetics, disability, military and veteran status, and other protected characteristics.
Please note that recruiters will never ask for sensitive personal or financial information during the application phase.
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Sr. Cloud Platform Engineer
role at
Genesys .
Job Summary We are seeking a Senior Cloud 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.
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 $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
About Genesys Genesys® empowers more than 8,000 organizations worldwide to create the best customer and employee experiences. With agentic AI at its core, Genesys Cloud™ is the AI‑Powered Experience Orchestration platform that connects people, systems, data and AI across the enterprise. As a result, organizations can drive customer loyalty, growth and retention while increasing operational efficiency and teamwork across human and AI workforces.
Reasonable Accommodations If you require a reasonable accommodation to complete any part of the application process, or are limited in your ability to access or use this online application and need an alternative method for applying, you or someone you know may contact us at reasonable.accommodations@genesys.com.
Genesys is an equal opportunity employer committed to fairness in the workplace. We evaluate qualified applicants without regard to race, color, age, religion, sex, sexual orientation, gender identity or expression, marital status, domestic partner status, national origin, genetics, disability, military and veteran status, and other protected characteristics.
Please note that recruiters will never ask for sensitive personal or financial information during the application phase.
#J-18808-Ljbffr