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AI Strategy Consultant

Add Data Pty LtdSydney, Sydney🇦🇺Australia

Why this role stands out

Advance your career as an AI Strategy Consultant by shaping critical infrastructure decisions for clients and guiding them from AI pilots to full production. This hybrid role is perfect for experienced professionals with a deep understanding of AI/ML infrastructure who thrive on delivering vendor-neutral, impactful solutions. Apply now to join a team that values innovation and client success.

Quick overview

SeniorityMid Senior
Employment typeFull Time
Work modeHybrid
LocationSydney, Sydney, Australia
MLOps

Job description

Our AI Strategy Consultants are the engineers customers lean on to make the right infrastructure decisions. You'll profile workloads, model cost and capacity, and build the roadmap that takes an organisation from a first pilot to production AI.

It's vendor-neutral advice from someone who actually builds and runs the systems - which is exactly why customers trust it.

What you'll do

Run discovery with customers to profile workloads, constraints, and goals across their AI journey.

Model total cost of ownership, capacity, and scaling paths; recommend the right mix of workstation, server, cluster, or AI factory.

Produce architecture and roadmap deliverables that take customers from pilot to production.

Embed with customer teams during pilots - validating assumptions and de-risking the path to scale.

Work hand-in-hand with hardware, data, and deployment teams to turn strategy into delivery.

Stay ahead of the model, hardware, and tooling landscape so your advice is always current.

What we're looking for

5+ years in AI/ML infrastructure, ML engineering, HPC, or technical consulting.

Deep understanding of the training and inference lifecycle and what drives cost and performance at scale.

Able to model TCO and capacity, and to communicate trade-offs clearly to technical and executive audiences.

Genuinely vendor-neutral and customer-first.

Strong written deliverables - roadmaps, recommendations, and business cases.

Nice to have

Hands-on experience training or serving large models.

A background in management consulting or solutions architecture.

Familiarity with data engineering and MLOps tooling.

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