GenAI & Enterprise AI Solutions Architect

Red Hat; Sydney; Vor Ort; AUD 180.000 - 240.000; Vollzeit

Zusammenfassung

Red Hat APAC is seeking an AI Specialist Solution Architect to lead technical GTM strategy and customer engagements across ANZ, Sydney or Melbourne. You will bridge business value with advanced AI deployments, collaborating with data scientists and IT leadership to drive production-ready AI workloads.

You will architect end-to-end AI systems, support PoCs and bake-offs, and communicate the AI value to executives and technical teams, including RHOAI, RHAIE, and OSS frameworks.

Qualifikationen

• 15+ years enterprise architecture experience with 7+ years in ML use case development and MLOps.
• Deep learning architectures: CNNs, RNNs, LSTMs, with production deployment experience.
• Proven Generative AI design and deployment using LLMs, prompts, and fine-tuning.
• Strong Python analytics and end-to-end data science lifecycles.

Aufgaben

• Architect and design end-to-end AI systems incl. data and ML pipelines.
• Provide deep-technical GTM support: PoCs, bake-offs, and hackathons.
• Engage stakeholders from C-level to DevOps to articulate value.
• Operationalize AI with MLOps for production-ready deployments.
• Advocate AI offerings and feedback to AI BU and engineering teams.
• Lead community advocacy via talks, blogs, and volunteer groups.

Kenntnisse

ML Use Case Development

MLOps

Generative AI

LLMs

Python

Distributed Training

High-scale Inference

Architectural Leadership

Stakeholder Engagement

Communication

Ausbildung

Degree in Computer Science or related field

Tools

KServe

ModelMesh

vLLM

llm-d

PyTorch

TensorFlow

Jupyter

Jobbeschreibung

Red Hat APAC is seeking an AI Specialist Solution Architect to lead technical GTM strategy and customer engagements across ANZ, Sydney or Melbourne. You will bridge business value with advanced AI deployments, collaborating with data scientists and IT leadership to drive production-ready AI workloads.

You will architect end-to-end AI systems, support PoCs and bake-offs, and communicate the AI value to executives and technical teams, including RHOAI, RHAIE, and OSS frameworks.