Solution Architect at Domino Data Lab
$200,000–$250,000from the description
Jul 25, 2026
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Jul 26, 2026
What this job asks for AI summary
A senior professional services role focused on architecting and deploying a data science and MLOps platform into complex enterprise environments — multi-cloud, on-premises, hybrid, and air-gapped. Day-to-day work spans designing reference architectures, building field integrations across the AI/ML ecosystem, leading proof-of-concept engagements, and feeding field observations back into the product roadmap. Best suited to someone with deep production Kubernetes experience and a track record of owning senior-level customer relationships.
Senior level · 5+ years · Remote · Full-time
“or” means any one of them counts — you don't need all of them.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 3,400 people nationally plausibly meet what this posting asks for (computer occupations, all other). range 2,050–5,100
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Rare in this occupation — lead with these, and say what you built with them.
What the occupation pays Median $119,144 (middle half $81,115–$160,963). This posting is about at that midpoint.
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 29, 2026. It is a model, not a headcount.
Why we read it this way (8)
This is a Solution Architect / Professional Services role — primarily designing and delivering enterprise architectures and field integrations rather than building product software, which makes 15-1299 (Computer Occupations, All Other) the best fit; 15-1252 (Software Developers) is a plausible runner-up given the hands-on build/integration work described.
The role is fully remote (#LI-Remote) with no specific metro listed; no CBSA or state is set.
Kubernetes is explicitly required with '5+ years hands-on in production'; this drives the overall years minimum to 5 (the only stated overall experience floor is tied to Kubernetes).
Terraform is mentioned in the requirements section ('PoCs and Terraform-only don't count') — this confirms familiarity with Terraform is assumed/required as baseline context, not merely a nice-to-have.
OpenShift is called 'a strong signal' (preferred/bonus), not a hard gate.
Azure is called 'a strong plus' and MLOps/data platform experience in regulated environments is also 'a strong plus' — both treated as preferred.
At least one major cloud (AWS, Azure, or GCP) is a hard gate; Azure is separately flagged as preferred given the 'strong plus' language.
The compensation range ($200,000–$250,000 USD/year) is stated as annual US base salary; for sales roles it would be OTE, but this is a Professional Services/Solution Architect role, so it is treated as base salary.
Read the full posting
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