Senior AI Engineer
Senior AI Engineer
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Job Description
About the Job:
The Data Development Insights & Strategy (DDIS) team is seeking a Senior AI Engineer to design scale and maintain our AI model lifecycle framework within Red Hats OpenShift AI and RHEL AI infrastructures. As a Senior AI Engineer you will contribute to managing and optimizing largescale AI models collaborating with crossfunctional teams to ensure high availability continuous monitoring and efficient integration of new model updates while driving innovation through emerging AI technologies.
In this role you will leverage your expertise in AI MLOps/LLMOps cloud computing and distributed systems to enhance model performance scalability and operational efficiency. Youll work in close collaboration with the Products & Global Engineering(P&GE) and IT AI Infra teams ensuring seamless model deployment and maintenance in a secure and highperformance environment. This is an exciting opportunity to drive AI model advancements and contribute to the operational success of missioncritical applications.
What you will do
Develop and maintain the lifecycle framework for AI models within Red Hats OpenShift and RHEL AI infrastructure ensuring security scalability and efficiency throughout the process.
Design implement and optimize CI/CD pipelines and automation for deploying AI models at scale using tools like Git Jenkins and Terraform ensuring zero disruption during updates and integration.
Continuously monitor and improve model performance using tools such as OpenLLMetry Splunk and Catchpoint while responding to performance degradation and modelrelated issues.
Work closely with crossfunctional teams including Products & Global Engineering(P&GE) and IT AI Infra teams to seamlessly integrate new models or model updates into production systems with minimal downtime and disruption.
Enable a structured process for handling feature requests (RFEs) prioritization and resolution ensuring transparent communication and timely resolution of model issues.
Assist in finetuning and enhancing largescale models including foundational models like Mistral and LLama while ensuring computational resources are optimally allocated (GPU management cost management strategies).
Drive performance improvements model updates and releases on a quarterly basis ensuring that all RFEs are processed and resolved within 30 days.
Collaborate with stakeholders to align AI model updates with evolving business needs data changes and emerging technologies.
Contribute to mentoring junior engineers fostering a collaborative and innovative environment.
What you will bring
A bachelors or masters degree in Computer Science Data Science Machine Learning or a related technical field is required.
Handson experience that demonstrates your ability and interest in AI engineering and MLOps will be considered in lieu of formal degree requirements.
Experience programming in at least one of these languages: Python with a strong understanding of Machine Learning frameworks and tools.
Experience working with cloud platforms such as AWS GCP or Azure and have familiarity with deploying and maintaining AI models at scale in these environments.
As a Senior AI Engineer you will be most successful if you have experience working with largescale distributed systems and infrastructure especially in production environments where AI and LLM models are deployed and maintained. You should be comfortable troubleshooting optimizing and automating workflows related to AI model deployment monitoring and lifecycle management. We value a strong ability to debug and optimize model performance and automate manual tasks wherever possible.
Additionally you should be wellversed in managing AI model infrastructure using containerization technologies like Kubernetes and OpenShift and have handson experience with performance monitoring tools (e.g. OpenLLMetry Splunk Catchpoint). We also expect you to have a solid understanding of GPUbased computing and resource optimization with a background in highperformance computing (e.g. CUDA vLLM MIG TGI TEI).
Experience working in Agile development environments.
Work collaboratively within crossfunctional teams to solve complex problems and drive AI model updates will be key to your success in this role.
Desired skills:
5 years of experience in AI or MLOps with a focus on deploying maintaining and optimizing largescale AI models in production.
Expertise in deploying and managing models in cloud environments (AWS GCP Azure) and containerized platforms like OpenShift or Kubernetes.
Familiarity with largescale distributed systems and experience managing their performance and scalability.
Experience with performance monitoring and analysis tools such as OpenLLMetry Prometheus or Splunk.
Deep understanding of GPUbased deployment strategies and computational cost management.
Strong experience in managing model lifecycle processes from training to deployment monitoring and updates.
Ability to mentor junior engineers and promote knowledge sharing across teams.
Excellent communication skills both verbal and written with the ability to engage with technical and nontechnical stakeholders.
A passion for innovation and continuous learning in the rapidly evolving field of AI and machine learning.
This is an exciting opportunity for a Senior AI Engineer to contribute to the growing AI ecosystem at Red Hat ensuring robust scalable and secure infrastructure for AI models. If youre looking for a challenging and rewarding role that blends technical excellence with business impact we encourage you to apply.
About Red Hat
Red Hat is the worlds leading provider of enterprise open source software solutions using a communitypowered approach to deliver highperforming Linux cloud container and Kubernetes technologies. Spread across 40 countries our associates work flexibly across work environments from inoffice to officeflex to fully remote depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas no matter their title or tenure. Were a leader in open source because of our open and inclusive environment. We hire creative passionate people ready to contribute their ideas help solve complex problems and make an impact.
Inclusion at Red Hat
Red Hats culture is built on the open source principles of transparency collaboration and inclusion where the best ideas can come from anywhere and anyone. When this is realized it empowers people from different backgrounds perspectives and experiences to come together to share ideas challenge the status quo and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access and that all voices are not only heard but also celebrated. We hope you will join our celebration and we welcome and encourage applicants from all the beautiful dimensions that compose our global village.
Equal Opportunity Policy (EEO)
Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race color religion sex sexual orientation gender identity national origin ancestry citizenship age veteran status genetic information physical or mental disability medical condition marital status or any other basis prohibited by law.
Red Hat does not seek or accept unsolicited resumes or CVs from recruitment agencies. We are not responsible for and will not pay any fees commissions or any other payment related to unsolicited resumes or CVs except as required in a written contract between Red Hat and the recruitment agency or party requesting payment of a fee.
Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance completing our online job application email . General inquiries such as those regarding the status of a job application will not receive a reply.
Required Experience:
Senior IC
Employment Type
Full-Time
