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NVIDIA

Solutions Architect

NVIDIA is hiring a Solutions Architect in Sydney, Australia. Level rates it ; you can apply on NVIDIA.

Level's read on this job

  • Level rates this solutions architect role Works on AI ●●●○: the daily work is on AI products, without building the model.
  • The posting mentions RAG, AI agents and MLOps among its tools and skills.
  • NVIDIA has 2,600+ other open roles on Level.

AI in this role

ragai-agentsml-opscomputer-vision

NVIDIA is looking for a Solutions Architect (Data Science) within our ANZ team to work with our Global Systems Integrator (GSI) partners and AI consulting firms. This is a role that requires a combination of technical authority as well as good experience in managing technical partnerships and enablement. This individual will help inspire our partners to reimagine, reinvent and operate the enterprise business processes of the world's largest Enterprises using Agentic AI leveraging the NVIDIA platform. This is a highly technical role that requires deep expertise in generative AI, large language models (LLMs), and scalable software engineering practices, but also requires a focus on successfully managing projects and strong personal and organisational skills orchestrating both internal and external relationships with support from the broader ANZ NVIDIA team.

As part of our Solutions Architecture team, you will work with the most exciting computing software and hardware, driving the latest breakthroughs in deep learning and artificial intelligence. This role offers an excellent opportunity to expand your career in the rapidly growing field of AI Software Development Kits and broader artificial intelligence while empowering the world's most successful companies.

What you'll be doing:

  • Becoming an NVIDIA AI expert and enabling GSI developers to adopt NVIDIA Nemo and NIMs for their Generative AI offerings, platforms and client services.

  • Construct complex workflows with multiple steps for AI agents to analyze, strategize, perform tasks, access APIs, and fix errors autonomously.

  • Work with Business Managers to thoughtfully craft the vision, actionable and effective strategies for the broader GSI group and closely partner with other Solutions Architects, engineering, product and business teams at NVIDIA to build GenAI full stack solutions for industry vertical and enterprise use cases.

  • Encourage industry executives and GSI leaders by articulating the business value from the state of the art in Generative AI.

  • Creating or running Proof of Concept and Demos that require presentation skills, explanation of complex topics, writing Python code to execute data pipelines and train ML/DL models and deploy on container-based orchestrators.

  • Answer questions and provide mentorship to the GSI Ecosystem. Working with Partner Business Managers to assist partners and customers on their mission-critical projects. You will help them build their GPU enabled Accelerated Compute datacenters and get the most out of their investment.

  • Partner with APAC Regional and HQ Engineering, Product and Sales teams to develop, plan best suitable solutions for Partners. Enable development and growth of product features through customer feedback and proof-of-concept evaluations

  • Running NVIDIA Deep Learning Institute and Skills Transfer sessions with GSI’s, Customers, OEM’s and partners around NVIDIA & others HW and SW solutions.

What we need to see:

  • Professional, long term experience as a Data Scientist (focus on AI/DL/ML) developing/supporting customer facing projects experience on computer vision, Conversional AI, or data analytics technologies, especially in RAG and Agentic AI workflows.

  • BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering or related fields (or equivalent experience)

  • Strong customer facing or presales/consulting and technical experience and skills with AI/ML/Big Data frameworks assisting them with.

  • 5+ overall years of work-related experience in deep learning, data science or software development with knowledge of parallel computing with GPUs

  • Good planning and long term strategic engagement and orchestration with a broad ecosystem of stakeholders from customer, to internal and external parties.

  • Clear written and oral communication skills with the ability to collaborate with management and engineering. Share knowledge with clients, partners and co-workers.

  • You are a self-starter with attitude for growth, passion for continuous learning and sharing findings across the team, with excellent presentation, verbal and written communication skills.

  • You are able to work remotely, planning well with strong partnering with a small team with an attitude for growth, passion for continuous learning and sharing findings across the team

Ways to stand out from the crowd:

  • Have experience leading technical teams working with partners and or customers, or consulting/advisor experience in the AI space.

  • AI/Data Science project management, liaising with multiple stakeholders to drive projects, and coordinating resources inside (and outside if relevant) the organization.

  • Proficient developer experience on NVIDIA SDK platform using Nemo and NIM, ML/DL frameworks and MLOps ecosystem of tools and solutions in the cloud and on-prem.

  • Experience with cloud based solution designing, APIs and Microservices, orchestration platforms, storage solutions and data migration techniques

  • Have a willingness and ability to dig into unfamiliar territories to tackle sophisticated problems and be a phenomenal listener.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking individuals in the world working for us. If you're creative and autonomous, we want to hear from you!

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

How we rate this

Solutions Architect at NVIDIA rates 68 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

RAGAI agentsML OpsComputer vision

Also common in solutions architect jobs at this level

Pay

Typical solutions architect job
$169k

This posting doesn't list pay. Use the typical solutions architect figure when pay comes up. See solutions architect jobs

Questions you could be asked

  1. How would you design a retrieval step so the model answers from real data instead of guessing?
  2. How do you decide when an AI agent can act on its own versus asking for approval first?
  3. How do you monitor a model once it's live, and how do you know it needs retraining?
  4. Walk me through a computer vision problem you solved, from raw data to a deployed model.
  5. Describe a typical day in a role like this one: which parts run through AI directly?

Adapt your resume

  • List these exact terms on your resume: RAG, AI agents, ML Ops, and Computer vision. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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