AI Specialist Solution Architect, ANZ (Sydney/Melbourne Based)

Red Hat Asia-Pacific PTY. LTD.; Melbourne; On-site; AUD 180,000 - 260,000; Full time

Job summary

Red Hat APAC is seeking an AI Specialist Solution Architect to lead the technical execution of AI GTM across ANZ from Sydney or Melbourne. You will be the technical center of gravity for AI adoption, bridging business value to technical implementation with data scientists and IT leadership.

The role requires deep expertise in ML, MLOps, and Gen AI architectures, with a focus on enterprise workloads, distributed training, and production-ready AI platforms.

Qualifications

• 15+ years enterprise architecture experience in large orgs.
• 7+ years hands-on ML use-case development and MLOps in enterprise environments.
• Strong Python and data-science lifecycle knowledge.
• Excellent communication with C-level and technical teams.

Responsibilities

• Architect and design end-to-end AI systems, data pipelines and ML workflows.
• Provide deep-technical GTM support, PoCs, bake-offs and hackathons.
• Engage stakeholders from C-level to Data Science and DevOps teams.
• Operationalize AI with robust MLOps for production environments.
• Advocate Red Hat AI offerings and collect market feedback.

Skills

Enterprise architecture

ML Use Cases

MLOps

Deep Learning

LLMs

Python

Communication

Education

CS/Math degree

Tools

PyTorch

TensorFlow

KServe

ModelMesh

vLLM

Job description

Role Overview

Role Overview The Red Hat APAC Technology Sales team is looking for an AI Specialist Solution Architect (SSA) to join us in Australia (Sydney or Melbourne) to cover customer engagements across ANZ.. In this role, you will be the "technical center of gravity" for the execution of Go-To-Market (GTM) strategies related to RedHat AI across public sector, enterprise, commercial and telco accounts. You will play a pivotal role in removing organizational, technical, and competitive barriers to adoption within key accounts. Your mission is to establish RedHat as the preferred AI platform for enterprise workloads, helping customers leverage their proprietary data to gain a sustainable competitive advantage. You will bridge the gap between business value and deep technical implementation, working closely with data scientists, developers, and IT leadership.

What you will do

• Architect and Design: Plan, design, and execute end-to-end AI systems, including data pipelines, ML pipelines, and distributed training/serving architectures.


• Technical Sales Support: 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.


• Stakeholder Engagement: Confidently articulate the RedHat AI value proposition to a range of stakeholders, from C-level executives to Data Science and DevOps teams.


• Operationalize AI: Implement best practices in AI systems design and MLOps to move customer projects from experimentation to production-ready environments.


• Product Advocacy: Act as a bi-directional conduit between the field and RedHat’s AI Business Unit and Engineering teams, providing market feedback and testing cutting-edge features.


• Community Outreach: Execute advocacy activities including conference speaking, technical blog posts, and participation in volunteer tech communities.

What you will bring

• SME Status: 15+ years of enterprise architecture experience, with 7+ years of hands-on experience in Machine Learning Use Case Development and Machine Learning Operations (MLOps) in enterprise environments.


• Deep Learning Expertise: 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.


• Gen AI Architect: Proven track record of designing and deploying Generative AI solution architectures, specifically focusing on Large Language Models (LLMs), prompt engineering, and fine-tuning strategies.


• Technical Depth: Proficient in statistical programming languages (primarily Python) and the end-to-end data science lifecycle.


• Architecture Excellence: Proven ability to architect and explain complex data/ML pipelines, including distributed training and high-scale inference, to technical and non-technical audiences.


• Communication: Exceptional presentation skills with the ability to lead business-value sessions and technical workshops for C-level executives and engineering teams.


• Education: Degree in Computer Science, Mathematics, or a related technical field is preferred.


• Technical Scope: The RedHat AI Portfolio You will leverage your technical depth to sell the value proposition of the 2026 RedHat AI stack: RedHat AI Enterprise: Positioning the integrated platform for building, developing, and deploying AI-powered applications. You will sell the value of a unified lifecycle for both platform and AI engineers to increase operational efficiency.

Technical Scope

The RedHat AI Portfolio You will leverage your technical depth to sell the value proposition of the 2026 RedHat AI stack: RedHat AI Enterprise: Positioning the integrated platform for building, developing, and deploying AI-powered applications. You will sell the value of a unified lifecycle for both platform and AI engineers to increase operational efficiency. RedHat AI Inference Server: Leading the "production-first" conversation by showcasing high-performance, cost-effective inference. You will demonstrate how vLLM and llm-d technologies maximize throughput and minimize latency across any accelerator (NVIDIA, AMD, Intel, Google TPU and more). Open Hybrid Cloud AI: Selling the "run anywhere" advantage by demonstrating how RedHat AI provides a consistent operational model across bare metal, virtual machines, public clouds, and edge locations. Agentic AI & Orchestration: Positioning RedHat as the stable foundation for autonomous, goal-oriented AI workflows that integrate with existing enterprise APIs and data sources.

• Platform Mastery: Hands-on experience with RedHat OpenShift AI (RHOAI) and RedHat AI Enterprise (RHAIE) as the foundation for the AI lifecycle.


• Model Ecosystem: Familiarity with open source / open weights models as well as model alignment and fine tuning practices (LLMOps) and quantization techniques.


• AI Serving & Runtimes: Deep understanding of inference optimization using vLLM, and model serving frameworks like KServe and ModelMesh.


• Modern AI Patterns: Practical experience implementing Retrieval‑Augmented Generation (RAG), Agentic workflows, and vector databases.


• OSS Frameworks: Expertise with PyTorch, TensorFlow, and the Jupyter ecosystem.

Success Measures (Key Performance Indicators)

• Technical Validation Excellence: Achieve high success rates in technical Proofs of Concept (PoCs) and pilot programs, ensuring solutions meet or exceed customer requirements for production readiness.


• Enterprise AI Adoption: Successfully guide key accounts through the transition from experimental AI models to integrated, scalable production environments.


• Strategic Pipeline Contribution: Actively influence the growth and quality of the AI opportunity pipeline through deep technical discovery and architectural leadership.


• Ecosystem Scaling: Effectively scale technical expertise across the region by enabling partners and internal teams on modern AI/ML architectural patterns.


• Thought Leadership: Establish a strong presence in the regional technical community through high-quality technical content, architectural blueprints, and speaking engagements at industry events.


• Strategic Feedback Loop: Provide consistent, high‑impact technical insights from the field to influence global product direction and address regional market needs.

About Red Hat

RedHat 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. RedHatters 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.

Inclusion at Red Hat

RedHat’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)

RedHat 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. RedHat 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 RedHat and the recruitment agency or party requesting payment of a fee. RedHat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance completing our online job application, email [e-mail]. General inquiries, such as those regarding the status of a job application, will not receive a reply. We’re the world’s leading provider of enterprise open source solutions—including Linux, cloud, container, and Kubernetes. We deliver hardened solutions that make it easier for enterprises to work across platforms and environments, from the core datacenter to the network edge. At RedHat, our commitment to open source extends beyond technology into virtually everything we do. We collaborate and share ideas, create inclusive communities, and welcome diverse perspectives from all RedHatters, no matter their role. It’s what makes us who we are. Some of the most knowledgeable and passionate people in the technology industry work here. Whether we’re building software, championing our products, or training new associates, we’re collaborating openly to make a difference in the world of open source and beyond.