NVIDIA
Solution Architect, Local Government AI

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About the Role
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.
- 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.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
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.


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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.
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