Genesys empowers organizations of all sizes to improve loyalty and business outcomes by creating the best experiences for their 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 across the globe who embrace empathy and cultivate collaboration to succeed. And, while we offer great benefits and perks like larger tech companies, our employees have the independence to make a larger impact on the company and take ownership of their work. Join the team and create the future of customer experience together.
We're a diverse team that believes AI innovation creates value through intelligent solutions. We're seeking a Senior AI/ML Engineer to design and deliver innovative AI/ML solutions in a cloud environment, leveraging advanced technical knowledge to solve complex problems, influence project direction, and mentor junior staff in a collaborative environment.
Lead AI/ML design discussions, contribute to system architecture documents, and solve complex problems using advanced technical concepts
Own entire AI/ML projects from design through deployment, collaborating with Product Managers, Data Scientists, and cross-functional teams
Provide guidance and training to junior staff while contributing to strategic technical decisions across the organization
Troubleshoot complex production issues, champion MLOps and security best practices, and drive adoption of emerging technologies
5+ years AI/ML engineering experience with university degree in Computer Science, AI/ML, Data Science, or equivalent
Expert-level Python skills with deep knowledge of AI/ML frameworks, design patterns, and complex system architectures
Solid experience with Large Language Models, fine-tuning, prompt engineering, and multi-agent systems/frameworks
Advanced AWS knowledge for AI/ML workloads, distributed systems, serverless computing (Lambda), and data streaming platforms (Kafka)
Proficient in CI/CD tooling for ML pipelines, Git with model versioning, testing-first mindset, and systematic problem-solving
Strong interpersonal skills with proven ability to mentor team members and influence technical decisions
Deep machine learning knowledge, advanced engineering practices, and understanding of enterprise AI governance
Experience with tool-using AI agents, autonomous systems, and advanced reinforcement learning
Event-driven architecture for AI systems, advanced microservices patterns, and infrastructure as code
Understanding of model release cycles, ability to size complex development activities, and proof-of-concept experience
Collaborative mindset with an appreciation for authenticity and diverse perspectives
Lead technical initiatives affecting millions of users globally while working with cutting-edge technologies and contributing to research initiatives. Clear advancement paths toward technical leadership with strategic influence on product direction. Remote work options and a culture built on mutual support, psychological safety, and work-life balance.
If a Genesys employee referred you, please use the link they sent you to apply.
About Genesys:
GenesysŽ 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. To learn more, visit www.genesys.com.
Reasonable Accommodations:
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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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