Gen AI Solution Architect - Enterprise MLOps, Remote

Red Hat

City of Melbourne

On-site

AUD 200,000 - 260,000

Full time

6 days ago
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Job summary

Red Hat is seeking an AI Specialist Solution Architect to lead AI GTM across ANZ from Australia (Sydney or Melbourne). You will design end‑to‑end AI systems, support PoCs and bake‑offs, and engage executives and engineering teams to drive production‑ready deployments.

The role emphasizes deep technical excellence, SOWs for enterprise AI, and active field leadership. You will bridge business value with AI implementation, leveraging RHOAI and RHAIE platforms while collaborating with data

Qualifications

  • 15+ years of enterprise architecture experience with 7+ years in ML use case development and MLOps.
  • Deep learning knowledge across CNNs, RNNs, LSTMs and practical trade-offs.
  • Proven Generative AI design and deployment for LLMs, prompts, and fine-tuning.
  • Proficiency in Python and end-to-end data science lifecycle.
  • Ability to architect and explain complex ML pipelines to technical and non‑technical audiences.

Responsibilities

  • Architect and design end‑to‑end AI systems including data and ML pipelines.
  • Provide deep-technical GTM support, PoCs, bake-offs, and hackathons.
  • Engage stakeholders from C‑level to DevOps to articulate AI value.
  • Operationalize AI with MLOps practices for production readiness.
  • Advocate for Red Hat AI across field and engineering teams; feed market feedback.
  • Lead advocacy activities: talks, blogs, and community involvement.

Skills

Enterprise architecture
ML Use Case Development
MLOps
Deep Learning
Generative AI
Python
Data pipelines
Stakeholder engagement
Presentation skills
OpenShift AI familiarity

Education

Degree in Computer Science / Mathematics or related technical field

Tools

Red Hat OpenShift AI
Red Hat AI Enterprise
KServe
ModelMesh
vLLM
PyTorch
TensorFlow

Job description

Red Hat is seeking an AI Specialist Solution Architect to lead AI GTM across ANZ from Australia (Sydney or Melbourne). You will design end‑to‑end AI systems, support PoCs and bake‑offs, and engage executives and engineering teams to drive production‑ready deployments.

The role emphasizes deep technical excellence, SOWs for enterprise AI, and active field leadership. You will bridge business value with AI implementation, leveraging RHOAI and RHAIE platforms while collaborating with data

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