New York, NY

Salary
$190,000–$220,000from the description
Posted
Aug 19, 2026
Location
New York, NY
Last confirmed open
Aug 20, 2026

What this job asks for AI summary

A forward-deployed, onsite Solutions Architect role embedded with a single strategic enterprise customer to operationalize Zenity's AI agent security platform inside that customer's real environment. Day-to-day work spans requirements gathering directly with the customer's security team, hands-on configuration and integration against the customer's APIs and identity systems, security investigations, and translating field findings back into product roadmap input. Best suited to engineers with a background in cybersecurity, cloud platforms, and customer-facing technical delivery.

Senior level · Full-time

Quick apply — this platform usually takes a CV and a few fields.

Must have (5)
Azure AI FoundryMicrosoft FabricLLMscloud securityAPI integration
Nice to have (3)
AI governance toolingenterprise SaaSAzure

Posted 2 times — it's one opening, so apply once.

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

What gives you an edge
Azure AI Foundry1%Microsoft Fabric2%cloud security6%

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 Aug 20, 2026. It is a model, not a headcount.

Why we read it this way (9)

The job title is 'Solutions Architect' externally but 'Senior Forward Deployed Engineer' internally — the role is a hybrid of solutions engineering, professional services, and hands-on technical delivery; 15-1299 (Computer Occupations, All Other) is the best fit, with 15-1252 (Software Developers) as a plausible runner-up given the emphasis on building integrations and customizations.

No specific work location city is stated beyond 'onsite with the customer' across India and the US; the CBSA and state fields are left blank as a result.

Azure AI Foundry, Microsoft Fabric, and LLMs appear explicitly in the 'Core Requirements' section as platforms the candidate must support for testing and validation — treated as hard gates.

Cloud security, cybersecurity, and governance are listed under 'What We're Looking For' with firm language ('Background in cybersecurity, cloud security, governance') — treated as required.

API integration is implied as a hard gate by the core requirement to 'integrate with the customer's own data, APIs, infrastructure, and identity/access patterns.'

Experience building AI-powered applications, agentic systems, or AI governance tooling is listed under 'What We're Looking For' but framed with 'ideally' and 'experience building' without firm gating language — treated as preferred.

The role explicitly requires onsite presence at the customer's offices; remote=false is set accordingly.

Equity and a full benefits package are mentioned alongside the base salary range but no specific equity figures are provided.

Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): AI agent development.

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