Senior AIML Engineer, Information Security Solutions and Knowledge Orchestration

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 6000 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.

Senior AI/ML Engineer Information Security Solutions and Knowledge Orchestration

Job Summary
At Genesys we are transforming how organizations deliver empathetic personalized experiences through AI-powered orchestration at global scale. As a Senior AI/ML Engineer on the Information Security Solutions and Engineering team you will design and operate secure scalable AI services that enable knowledge-driven decision-making across enterprise security and risk domains. This role focuses on building retrieval-augmented generation (RAG) and knowledge orchestration capabilities that integrate deeply with core enterprise platforms and security tooling. You will work independently across the full software development lifecycle while collaborating closely with security data and application teams. Joining Genesys means becoming part of a global engineering community that values ownership collaboration and meaningful impact.

About the Team
The Information Security Solutions and Engineering team builds scalable technical solutions that help the enterprise reduce risk improve efficiency and increase accuracy across security processes. The team partners with Information Security GRC Risk Engineering and Data teams to translate security requirements into automated data-driven and AI-enabled solutions that operate reliably in production environments.

Key Responsibilities

Design build test deploy and operate AI and RAG services used across multiple internal enterprise applications.

Develop end-to-end knowledge orchestration pipelines including embedding generation indexing retrieval and orchestration across structured and unstructured data sources.

Build scale and maintain vector database and semantic retrieval solutions for enterprise-scale workloads.

Deliver AI-enabled capabilities supporting information security and risk use cases including asset intelligence control validation posture analysis and risk summarization.

Implement secure-by-design engineering practices such as access controls data isolation auditability and operational safeguards.

Contribute reusable components libraries and services to shared AI and data platforms used across teams.

Apply evaluation testing and validation strategies to ensure accuracy grounding reliability and performance of AI systems.

Monitor and support production systems identifying and addressing performance issues model drift or degradation.

Participate in technical design reviews code reviews and incident response activities.

Collaborate closely with data scientists application engineers and security stakeholders to deliver end-to-end solutions.

Provide technical mentorship and guidance to junior engineers through collaboration and structured reviews.

Required Qualifications

Bachelors or Masters degree in Computer Science Data Science Machine Learning or a related field.

At least 5 years of experience in software engineering with applied AI or machine learning systems in production environments.

Proven experience working across the full software development lifecycle including requirements definition system design implementation testing deployment and production support.

Hands-on experience designing and operating retrieval-augmented generation systems and integrating large language models into applications.

Strong proficiency in Python and modern ML or AI frameworks such as PyTorch TensorFlow or Hugging Face.

Practical experience with embeddings semantic search and vector databases such as Pinecone Weaviate Milvus FAISS or pgvector.

Experience building and operating systems in cloud environments such as AWS Azure or GCP.

Familiarity with CI/CD pipelines MLOps practices and production monitoring and observability.

Preferred Qualifications

Experience contributing to shared internal platforms or frameworks used by multiple engineering teams.

Exposure to information security risk management governance or compliance-focused use cases.

Familiarity with knowledge graphs hybrid retrieval approaches or orchestration frameworks.

Experience operating highly available scalable and observable services in production.

Contributions to open-source projects or active participation in internal engineering communities.

Why Join Genesys

Build AI solutions with real enterprise-scale and security impact.

Work on production-grade systems that support critical business and security outcomes.

Collaborate with global teams across engineering data and security disciplines.

Take clear ownership with autonomy and growth opportunities at the Senior Engineer level.

#LI-GR1

#LI-Hybrid

If a Genesys employee referred you please use the link they sent you to apply.

About Genesys:

Genesys empowers more than 8000 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.

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 .

You can expect a response within 2448 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 accommodationsuch as application follow-ups or resume submissionsmay 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 expressionmarital status domestic partner statusnational origin genetics disabilitymilitary andveteran status and other protected characteristics.

Please note that recruiters will never ask for sensitive personal or financial information during the application phase.