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About the Role
The Red Hat APAC Technology Sales team is seeking an AI Specialist Solution Architect (SSA) in Australia (Melbourne) to cover customer engagements across ANZ. This role is crucial for executing Go-To-Market (GTM) strategies for Red Hat AI, aiming to establish Red Hat as the preferred enterprise AI platform and help customers leverage their data for a competitive advantage.
Responsibilities
- Plan, design, and execute end-to-end AI systems, including data pipelines, ML pipelines, and distributed training/serving architectures.
- Provide expert deep-technical support for GTM strategies, facilitating pre and post-sales activities such as technical deep dives, Proofs of Concept (PoCs), "bake-offs," and hackathons.
- Confidently articulate the Red Hat AI value proposition to a range of stakeholders, from C-level executives to Data Science and DevOps teams.
- Implement best practices in AI systems design and MLOps to move customer projects from experimentation to production-ready environments.
- Act as a bi-directional conduit between the field and Red Hat’s AI Business Unit and Engineering teams, providing market feedback and testing cutting-edge features.
- Execute advocacy activities including conference speaking, technical blog posts, and participation in volunteer tech communities.
Requirements
- 15+ years of enterprise architecture experience.
- 7+ years of hands-on experience in Machine Learning Use Case Development and Machine Learning Operations (MLOps) in enterprise environments.
- Strong foundational and applied knowledge of Deep Learning architectures, including CNNs, RNNs, and LSTMs, with the ability to explain their trade-offs in real-world applications.
- Proven track record of designing and deploying Generative AI solution architectures, specifically focusing on Large Language Models (LLMs), prompt engineering, and fine-tuning strategies.
- Proficient in statistical programming languages (primarily Python) and the end-to-end data science lifecycle.
- Proven ability to architect and explain complex data/ML pipelines, including distributed training and high-scale inference, to technical and non-technical audiences.
- Exceptional presentation skills with the ability to lead business-value sessions and technical workshops for C-level executives and engineering teams.
- Hands-on experience with Red Hat OpenShift AI (RHOAI) and Red Hat AI Enterprise (RHAIE) as the foundation for the AI lifecycle.
- Familiarity with open source / open weights models as well as model alignment and fine-tuning practices (LLMOps) and quantization techniques.
- Deep understanding of inference optimization using vLLM, and model serving frameworks like KServe and ModelMesh.
- Practical experience implementing Retrieval-Augmented Generation (RAG), Agentic workflows, and vector databases.
- Expertise with PyTorch, TensorFlow, and the Jupyter ecosystem.
Skills
- AI
- Machine Learning
- MLOps
- Deep Learning
- Generative AI
- Large Language Models (LLMs)
- Prompt Engineering
- Fine-tuning
- Python
- Data Science
- Data Pipelines
- ML Pipelines
- Distributed Training
- Inference
- Red Hat OpenShift AI (RHOAI)
- Red Hat AI Enterprise (RHAIE)
- vLLM
- KServe
- ModelMesh
- Retrieval-Augmented Generation (RAG)
- Agentic Workflows
- Vector Databases
- PyTorch
- TensorFlow
- Jupyter
Location
- Australia (Melbourne)
Work Type
- Office-flex
- Fully remote
Experience Level
- 15+ years of enterprise architecture experience
- 7+ years of hands-on experience in Machine Learning Use Case Development and Machine Learning Operations (MLOps)
Education Level
- Degree in Computer Science, Mathematics, or a related technical field is preferred.
About the Company
- Red Hat is the world’s leading provider of enterprise 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.
Equal Opportunity
- 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 supports individuals with disabilities and provides reasonable accommodations to job applicants.