Solutions architect
A technical pre-sales or post-sales role that designs how a product fits a customer’s systems and proves it will work before they buy.
Hiring data as of September 20, 2026 · refreshed daily
- companies naming it
- 6 of 47companies naming it
- open roles naming it
- 9open roles naming it
- of those based in NYC
- 4of those based in NYC
- pay: under 8 posted ranges
- —pay: under 8 posted ranges
What Solutions architect means
A solutions architect sits between sales and engineering. Before a deal closes they scope the customer’s environment, design the integration, and run the proof of concept; after it closes they often stay through deployment. At AI companies the role has grown with the product’s complexity, because buyers need to see a model working on their own data before committing.
It overlaps with the forward-deployed engineer. The usual distinction is that a solutions architect designs and advises while a forward-deployed engineer writes production code in the customer’s environment, though companies draw the line in different places.
Solutions architect in New York job posts
6 of the 47 New York AI companies we track name Solutions architect in the title of at least one open role today, across 9 postings. 4 of those are based in New York; the rest are remote or in the companies’ other offices.
This is engineering vocabulary: 100% of the postings that name it are Engineering roles.
How to read it
We match this on the job title, not the description. In our data these postings lean toward cloud platforms and general engineering breadth rather than AI-specific tooling, which reflects the job: knowing the customer’s stack matters as much as knowing your own product.
What these roles pay
Not enough data to publish. We need at least eight distinct posted salary ranges on New York roles naming Solutions architect before showing a median, and today there are fewer. For posted pay by function and seniority across the whole market, use the NYC salary calculator or the NYC AI engineer salary guide.
Open roles naming Solutions architect, daily
Count of open roles with the term in the job title.
View as table
| Date | postings |
|---|---|
| 2026-08-15 | 8 |
| 2026-08-16 | 8 |
| 2026-08-17 | 8 |
| 2026-08-18 | 8 |
| 2026-08-19 | 8 |
| 2026-08-20 | 9 |
| 2026-08-21 | 9 |
| 2026-08-22 | 9 |
| 2026-08-23 | 9 |
| 2026-08-24 | 9 |
| 2026-08-25 | 9 |
| 2026-08-26 | 9 |
| 2026-08-27 | 9 |
| 2026-08-28 | 9 |
| 2026-08-29 | 9 |
| 2026-08-30 | 9 |
| 2026-08-31 | 9 |
| 2026-09-01 | 9 |
| 2026-09-02 | 9 |
| 2026-09-03 | 9 |
| 2026-09-04 | 9 |
| 2026-09-05 | 9 |
| 2026-09-06 | 9 |
| 2026-09-07 | 9 |
| 2026-09-08 | 9 |
| 2026-09-09 | 9 |
| 2026-09-10 | 9 |
| 2026-09-11 | 9 |
| 2026-09-12 | 9 |
| 2026-09-13 | 9 |
| 2026-09-14 | 9 |
| 2026-09-15 | 9 |
| 2026-09-16 | 9 |
| 2026-09-17 | 9 |
| 2026-09-18 | 9 |
| 2026-09-19 | 9 |
| 2026-09-20 | 9 |
Who names it
Open roles naming Solutions architect, by company.
- Rogo3
- Anterior2
- Alloy1
- Modal1
- Tabs1
- Vic.ai1
Which roles
The same postings, by function and by seniority.
- Engineering9
- Staff/Principal9
Named alongside Solutions architect
Terms that appear in the same postings far more often than chance would put them there. The number is how many of the 6 companies pair the two.
- Azure 2
- GCP 2
- Kubernetes 2
- Go 3
- AWS 3
Open roles naming Solutions architect
A sample from today’s data, New York roles first and one per company before any repeats. Links go to the employer’s own posting. For the full market, see AI jobs in NYC.
- Senior Solutions Architect ↗Alloy · New York City
- Solution Architect ↗Tabs · New York City, NY
- Solutions Architect ↗Rogo · New York City
- Technical Solutions Architect ↗Anterior · New York
- Solutions Architect ↗Modal · San Francisco
- Solutions Architect ↗Vic.ai · Remote
- Solutions Architect, APAC ↗Rogo · Singapore
- Clinical Solutions Architect ↗Anterior · Remote
How this is counted
Every day we read the open roles on the public job boards of the New York AI companies in our coverage — the NYC AI 100 and the AI in NYC Show roster. This term is matched against job titles. A vendor’s own postings never count toward its own name.
The figure means named in a job posting. It does not mean used in production, and a “nice to have” counts the same as a requirement. Companies are the headline number because posting counts are dominated by whichever few employers are hiring hardest this month.
Full method, including the pay rules, is on the glossary index; the underlying series is the NYC AI Hiring Index.
Related on Neuronify
Solutions architect — common questions
What does Solutions architect mean in an AI job posting?
A technical pre-sales or post-sales role that designs how a product fits a customer’s systems and proves it will work before they buy. We match this on the job title, not the description. In our data these postings lean toward cloud platforms and general engineering breadth rather than AI-specific tooling, which reflects the job: knowing the customer’s stack matters as much as knowing your own product.
How many New York AI companies are hiring for Solutions architect?
As of September 20, 2026, 6 of the 47 New York AI companies we track name Solutions architect in the title of at least one open role, across 9 postings (4 based in New York). The count refreshes daily from the companies’ own job boards.
What do roles that ask for Solutions architect pay in New York?
We do not publish a pay figure for Solutions architect yet. Fewer than eight New York postings naming it carry a distinct posted salary range, and below that number a median says more about two or three employers than about the market.
Which skills are asked for alongside Solutions architect?
In the same postings, the terms most distinctively paired with Solutions architect are Azure, GCP, Kubernetes, Go, AWS. We rank pairings by how much more often they appear together than apart, so near-universal terms such as Python do not crowd out the informative ones.
Need someone who has actually shipped this?
A keyword in a posting is easy to match and hard to verify. We match companies with AI engineers and consultancies vetted on production work, and tell you when the project needs a different skill than the one you named.
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