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NVIDIA

Solution Architect, Local Government AI

NVIDIA is hiring a Solution Architect, Local Government AI for a remote role open to applicants in Spain. It pays €62k-€107k a year and Level rates it ; you can apply on NVIDIA.

Level's read on this job

  • Works on AI ●●●○ is how Level rates this solutions architect role: the daily work is on AI products, without building the model.
  • This is listed as a remote role.
  • The posting mentions PyTorch, fine tuning and MLOps among its tools and skills.
  • NVIDIA has 2,700+ other open roles on Level.

AI in this role

PyTorch
fine-tuningml-opscomputer-visionnlp

Do you want to support our global, mission-focused government clients as they embrace AI to improve government services and increase the health, well-being, and safety of their citizens? NVIDIA is building the world’s leading AI company, one customer success at a time. Our solutions architects are key partners for our business and product teams and trusted advisors to our clients, helping them translate mission-focused goals into active AI enabled plans and actions. Specifically, we are looking for technical teammates that can help our business team develop and deploy strategies and collateral to our field teams in region and also directly support us as we educate potential clients, assist with proofs of concept, productization of workflows, and advise on successful delivery of services and solutions through our ecosystem of partners. Our team interacts regularly with colleagues, partners and customers across our global footprint. NVIDIA supports a flexible work environment where you are empowered to manage your work-life balance. Occasional international travel may be required.

What you will be doing:

  • Empower and mentor partners, customers, and colleagues, sharing your expertise to help them grow and succeed.

  • Play a key role in shaping and supporting strategic plans that drive innovation at national, regional, and city levels across diverse global communities. global region.

  • Build engaging resources—such as presentations, blogs, and interactive notebooks—that connect business strategy with real-world government and community needs.

  • Collaborate with customers’ technical teams, guiding and supporting them through hands-on field trials and solution deployments.

  • Advocate for customer and partner needs by helping define product requirements and championing enhancements that remove barriers.

  • Develop and demonstrate solutions based on NVIDIA’s groundbreaking AI software and hardware technologies to customers.

What we need to see:

  • Master's degree in Computer Science, Electrical/Computer Engineering, Applied Statistics, Physics, Mathematics, or other Engineering fields or equivalent experience.

  • At least five years experience in technical consulting, software development, or equivalent. At least three of those years should include delivering Computer Vision, Deep Learning, or Generative AI computing solutions or infrastructure.

  • Experience with at least one of the following: fine tuning or deploying computer vision models (CNNs, ViT, VLM, Gen AI); fine tuning and deploying large language models; deploying agentic and Generative AI based solutions.

  • Hands-on experience with Python, PyTorch and containers.

  • Enjoy working with multiple levels and teams across organizations (engineering/research, product, sales and marketing teams).

  • Effective verbal, written communications, and technical presentation skills including sharing your ideas/code clearly through blog posts and GitHub.

  • Self-starter with a vision for growth, dedication to continuous learning and sharing findings across the team.

Ways to stand out from the crowd:

  • Prior work in government, AI startups, or working with digital twins.

  • Development experience with Kubernetes, Helm or Slurm

  • Experience with CICD and MLOPS technologies for building computer vision, NLP, Digital Twins or data analytics applications.

  • Hands-on experience in creating solutions using NVIDIA software libraries and GPUs.

  • Effective interpersonal and communications skills in additional languages and cultures, especially Spanish, Portuguese, French, German, Vietnamese, Thai, Bahasa, or Arabic.

Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are:
Spain: 61,500 EUR – 106,600 EUR.
Germany: 85,800 EUR – 148,720 EUR.

How we rate this

Solution Architect, Local Government AI at NVIDIA rates 66 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

Fine-tuningML OpsComputer visionNLPPyTorch

Also common in solutions architect jobs at this level

Pay

Typical solutions architect job
$169k

Use the typical solutions architect figure as a reference when pay comes up. See solutions architect jobs

Questions you could be asked

  1. Walk me through fine-tuning a model: what data did you use, and how did you check the result?
  2. How do you monitor a model once it's live, and how do you know it needs retraining?
  3. Walk me through a computer vision problem you solved, from raw data to a deployed model.
  4. What NLP problem have you worked on, and how did you measure whether it actually worked?
  5. Walk me through how you've used PyTorch in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Fine-tuning, ML Ops, Computer vision, NLP, and PyTorch. 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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