Genesys is seeking to address complex business challenges across multiple domains by designing and delivering enterprise-grade AI applications, focusing on secure, scalable, and compliant enterprise AI solutions to drive customer loyalty, workforce engagement, efficiency, and operational improvements.
Requirements
- Strong proficiency in Python, Java, and/or JavaScript/TypeScript.
- Proven experience deploying AI/ML models into production systems at enterprise scale.
- Familiarity with cloud platforms such as AWS, Azure, or GCP, and container orchestration tools like Kubernetes and Docker.
- Experience with distributed systems integration patterns including APIs, microservices, and messaging systems.
- Experience with LLM-based application frameworks such as LangChain, Semantic Kernel, or Haystack.
- Knowledge of MLOps practices including CI/CD pipelines, model monitoring, and feature stores.
- Hands-on experience with data governance, compliance frameworks, and enterprise security.
Responsibilities
- Lead the design, development, and deployment of AI-driven applications for enterprise use cases such as customer engagement, workflow automation, and decision support.
- Build applications that integrate seamlessly with the AI services platform to ensure reusability and alignment with enterprise standards.
- Translate business requirements into scalable AI-enabled solutions, balancing innovation with operational excellence.
- Contribute production-ready modules, APIs, and integration patterns to the shared AI services framework.
- Partner with platform and architecture teams to ensure scalability, observability, multi-tenancy, and compliance.
- Identify and resolve platform gaps surfaced through real-world application needs.
- Ensure applications meet enterprise security, compliance, and governance standards, including data privacy, auditability, and responsible AI practices.
Other
- Bachelor’s degree in Computer Science, Software Engineering, or related field (Master’s preferred).
- 5+ years of enterprise software development experience, including at least 2+ years working with AI/ML applications.
- Medical, Dental, and Vision Insurance.
- Flexible work schedules and work from home opportunities
- Development and career growth opportunities
