**What You’ll Do:** + **Build & Deploy Safely on OpenShift AI:** Design, develop, containerize, and deploy AI-powered features and models using Red Hat OpenShift AI components (e.g., Workbenches, Model Registry, Pipelines), **ensuring alignment with responsible AI principles and safety requirements from the outset.** + **Integrate & Vet AI Services:** Leverage and critically evaluate open-source models (e.g., Granite), integrating them **safely, securely, and responsibly** within applications running on OpenShift. Assess models for potential biases and safety risks before integration. + **Master AI Safety & OpenShift Toolkits:** Utilize AI engineering frameworks, vector databases, **and specific tools within OpenShift AI for AI safety, explainability, bias detection, development, serving, monitoring, and automation** of the AI system lifecycle. + **Design & Implement Guardrails:** **Design, implement, and test robust safety guardrails for AI interactions** , including input validation, prompt safety techniques, output content filtering, and oversight mechanisms for RAG patterns. Automate these checks using OpenShift Pipelines and GitOps practices where applicable. + **Manage Models with MLOps & Safety:** Utilize (and sometimes contribute to building) models and leverage OpenShift AI Serving technologies to deploy, manage versions, and **continuously monitor for performance, safety metrics, bias, and drift** , ensuring the reliability and ethical operation of AI models in production. + **Evaluate Holistically:** Focus on product-specific evaluation of AI models and approaches, rigorously assessing their **performance, safety, fairness, bias, robustness, cost, and adherence to ethical guidelines** within the OpenShift environment. + **Stay Current on Safety & AI:** Keep pace with advancements in the general AI landscape (models, techniques), **especially emerging threats, mitigation techniques, AI safety research, and relevant regulatory landscapes** , alongside OpenShift AI platform features. + **Collaborate for Trust:** Work closely with product managers, application developers, platform engineers, data scientists, **and relevant governance/ethics/security teams** to integrate AI capabilities smoothly, ensuring systems are trustworthy, compliant, and adhere to enterprise standards. **Who You Are:** + **A Safety-Conscious Builder with Platform Sense:** You have a strong software engineering background (Python proficiency is key, Java is a plus), understand containerization (Docker, Podman), Kubernetes/OpenShift fundamentals, and prioritize building secure and safe systems. + **AI Practitioner Aware of Risks:** You actively experiment with Foundation Models (LLMs, etc.), understand how to apply them practically, **and are keenly aware of their potential risks, limitations, and ethical considerations.** + **OpenShift AI Familiar:** You have hands-on experience with Red Hat OpenShift AI / OpenShift Data Science and its core components (Model Serving, Pipelines, Workbenches). Understanding of MLOps concepts is essential. + **Tool-Savvy with a Safety Lens:** You’re familiar with the AI engineering stack (LLama Stack, LangChain, Vector DBs, etc.) and **are eager to apply or learn tools/techniques specifically for AI safety, explainability, and bias mitigation** within an OpenShift context. + **Pragmatic & Responsible:** You focus on building useful, reliable AI features, **with a strong commitment to responsible AI development, deployment, and minimizing potential harm.** + **Fast Learner:** You thrive in the fast-paced AI field and are comfortable continuously learning new platform features, AI techniques, **and safety best practices.** + **Not Necessarily an ML PhD:** Your strength lies in applying, deploying, and **safeguarding** AI models effectively using platform tools, rather than deep theoretical research. Practical experience is paramount. **Nice-to-Haves:** + **Experience implementing AI safety techniques** (e.g., input/output filtering, adversarial testing, bias detection/mitigation, explainability methods like LIME/SHAP). + Direct experience deploying various types of ML models (including LLMs) using OpenShift AI Model Serving (KServe/Caikit/TGIS) **with integrated safety checks** . + Experience building and running OpenShift Pipelines (e.g., Tekton) **that include safety validation steps** . + **Familiarity with AI ethics frameworks and relevant regulations** (e.g., EU AI Act, NIST AI RMF). + Familiarity with the broader Red Hat portfolio (e.g., Ansible, RHEL, AMQ Streams/Kafka, Ceph). + Experience integrating AI models or other applications running on OpenShift. + Experience with monitoring tools integrated with OpenShift (e.g., Prometheus, Grafana) **configured for safety-related metrics** . + Understanding of GitOps principles (Argo CD). \#LI-MD2` The salary range for this position is $133,650.00 - $220,680.00. Actual offer will be based on your qualifications. **Pay Transparency** Red Hat determines compensation based on several factors including but not limited to job location, experience, applicable skills and training, external market value, and internal pay equity. Annual salary is one component of Red Hat’s compensation package. This position may also be eligible for bonus, commission, and/or equity. For positions with Remote-US locations, the actual salary range for the position may differ based on location but will be commensurate with job duties and relevant work experience. **About Red Hat** Red Hat (https://www.redhat.com/) is the world’s leading provider of enterprise open source (https://www.redhat.com/en/about/open-source) software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, 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. We're 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. **Benefits** ● Comprehensive medical, dental, and vision coverage ● Flexible Spending Account - healthcare and dependent care ● Health Savings Account - high deductible medical plan ● Retirement 401(k) with employer match ● Paid time off and holidays ● Paid parental leave plans for all new parents ● Leave benefits including disability, paid family medical leave, and paid military leave ● Additional benefits including employee stock purchase plan, family planning reimbursement, tuition reimbursement, transportation expense account, employee assistance program, and more! **Note:** These benefits are only applicable to full time, permanent associates at Red Hat located in the United States. **Inclusion at Red Hat** Red Hat’s 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. 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