Datacom11 followers66 jobs

AI Architect

Mid levelSeniorFull-timeHybridSydney NSW, AustraliaMelbourne VIC, AustraliaBrisbane QLD, AustraliaPosted 3 months agoVerified 1 week ago
Pending fitX of Y criteria met

About the job

The job is about defining and driving the technical vision for AI-powered solutions at Datacom. As an AI Architect, you will play a crucial role in designing scalable, secure, and production-ready AI architectures that bridge business strategy and technical execution. The team thrives on collaboration, innovation, and a shared commitment to shaping the future of AI-driven solutions.

Meet the team

About the company

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You'll be responsible for

🔧

Owning technical architecture

You will own the end-to-end technical architecture for AI-powered solutions across multiple customer engagements, evaluating, selecting, and standardizing AI technologies, frameworks, and platforms for the organization.
📐

Creating reference architectures

You will create reference architectures, design patterns, and best practices for AI solution delivery; lead architectural reviews and provide technical governance across delivery teams; and collaborate with product owners, data scientists, and engineering leads to translate business requirements into scalable technical designs.
🌱

Mentoring engineering teams

You will mentor and uplift engineering teams in AI architecture and best practices, stay current with the rapidly evolving AI landscape to bring actionable insights to the organization, and present architectural visions and technical strategies to senior stakeholders and customers.

Key criteria

🤖

AI expertise in agentic AI

Proven experience with multi-agent orchestration and evaluation frameworks.

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🛠️

Solution architecture design

Demonstrated ability to create end-to-end AI solutions across various layers.

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☁️

Cloud platform proficiency

Expert-level knowledge of Azure, AWS, or GCP architectures.

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A meaningful career starts with a match

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5 criteria for this job
AI expertise in agentic AI
Proven experience with multi-agent orchestration and evaluation frameworks.

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Solution architecture design
Demonstrated ability to create end-to-end AI solutions across various layers.

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Cloud platform proficiency
Expert-level knowledge of Azure, AWS, or GCP architectures.

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Programming skills in Python
Strong proficiency in Python for prototyping and critical decision-making.

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Leadership and communication skills
Experience leading teams and conveying complex ideas to diverse audiences.

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