Staff AI ML Engineer

Reposted 11 Hours Ago
Be an Early Applicant
2 Locations
In-Office
Expert/Leader
Artificial Intelligence • Big Data • Cloud • Machine Learning • Software
The Role
Lead AI/ML architecture discussions and implement large-scale AI solutions. Mentor engineers while influencing technical standards and championing MLOps best practices.
Summary Generated by Built In

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.

Staff AI/ML Engineer - Data Science & AI
The Team and Your Role

We're a diverse team driving AI innovation to create transformative value for our organization and customers. We're seeking a Staff AI/ML Engineer to architect and deliver cutting-edge AI solutions at enterprise scale, leveraging deep expertise to solve complex problems, drive technical strategy, and mentor engineers in a collaborative environment.


What You Will Do
  • Lead AI/ML architecture discussions and drive technical strategy for organizational AI initiatives

  • Architect and implement large-scale AI/ML systems including LLM deployments, multi-agent frameworks, and enterprise platforms

  • Own end-to-end delivery of major AI/ML projects from research through production deployment

  • Mentor AI/ML engineers and data scientists while influencing technical standards across the organization

  • Champion MLOps best practices, troubleshoot complex production issues, and drive responsible AI governance


Required Skills & Experience
  • 7+ years AI/ML engineering experience with university degree in Computer Science, AI/ML, Data Science, or equivalent

  • Deep expertise with Large Language Models, fine-tuning, prompt engineering, and multi-agent systems

  • Expert-level experience deploying AI systems at scale with strong MLOps, governance, and monitoring practices

  • Advanced Python skills and AI/ML frameworks with proven ability to design complex systems and microservices architectures

  • Advanced AWS/cloud knowledge for AI workloads, distributed computing, and containerization technologies

  • Strong leadership and communication skills with proven ability to mentor teams and drive technical strategy


Desirable Skills & Experience
  • Experience with tool-using AI agents, autonomous systems, and advanced reinforcement learning

  • Model optimization techniques, distributed training strategies, and experimental design

  • AI research experience, technical publications, and open source contributions

  • Understanding of AI product development cycles and transformation initiatives

  • Collaborative mindset with an appreciation for authenticity and diverse perspectives


What We Offer

Lead AI/ML initiatives affecting millions of users globally while working with cutting-edge technologies and contributing to groundbreaking research. Clear advancement paths toward principal engineering or AI leadership roles 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:

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. To learn more, visit www.genesys.com.

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 [email protected].

You can expect a response within 24–48 hours. To help us provide the best support, click the email link above to open a pre-filled message and complete the requested information before sending. If you have any questions, please include them in your email.

This email is intended to support job seekers requesting accommodations. Messages unrelated to accommodation—such as application follow-ups or resume submissions—may not receive a response.

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.

Top Skills

Ai/Ml Frameworks
AWS
Containerization Technologies
Distributed Computing
Large Language Models
Mlops
Python
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The Company
HQ: Daly City, CA
6,774 Employees
Year Founded: 1990

What We Do

Every year, Genesys® delivers more than 70 billion remarkable customer experiences for organizations in over 100 countries. Through the power of the cloud and AI, our technology connects every customer moment across marketing, sales and service on any channel, while also improving employee experiences. Genesys pioneered Experience as a Service℠ so organizations of any size can provide true personalization at scale, interact with empathy, and foster customer trust and loyalty. This is enabled by Genesys Cloud™, an all-in-one solution and the world’s leading public cloud contact center platform, designed for rapid innovation, scalability and flexibility. Visit www.genesys.com.

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