AI Solution Architect II
Arohana Tech Solutions Private Limited
$240,000–$290,000
Jul 5, 2026
—
Jul 21, 2026
What this job asks for AI summary
A pre-sales-heavy architecture role at a global systems integrator, focused on Google Cloud Platform data and AI solutions. The position involves designing solutions around tools such as Vertex AI, BigQuery, Dataflow, and Looker, leading client workshops and proof-of-concept engagements, and working alongside sales teams to close large deals with senior enterprise stakeholders.
Senior level · 15+ years · National
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
Rare in this occupation — lead with these, and say what you built with them.
What the occupation pays Median $142,568 (middle half $111,775–$173,013).
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (6)
This role is a hybrid of pre-sales/solution architecture and technical consulting, making SOC classification genuinely ambiguous. It was mapped to Database Architects (15-1243) as the closest fit for a Data & AI Architect designing cloud data solutions, but 15-1299 (Computer Occupations, All Other) is a reasonable alternative given the heavy GTM/pre-sales component.
Location is stated only as 'North America' with an on-site requirement — no specific city or metro is identified, so no CBSA could be assigned.
Dataflow and Looker appear only in the solution architecture narrative describing the GCP stack, not in the explicit 'Skill Requirements' section, so they are treated as preferred/contextual rather than hard gates.
Google Cloud certifications (Professional Data Engineer / Professional Machine Learning Engineer) are explicitly listed under 'Preferred Certifications' and are therefore not required.
The role has a strong pre-sales and GTM dimension (client workshops, proposals, closing deals with CXOs) that is atypical for a pure technical architect; hiring managers should expect candidates from a consulting or sales-engineering background.
Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): Google Cloud Professional Data Engineer.
Read the full posting
The employer publishes the full description on their own site — read it there ↗. Or sign in to read it here — it's free, and it also lets you track this application.