Decide exactly what your AI agents can and can’t do. Zenity evaluates every agent action in real time and steers it. Backed by Norwest and SoftBank VF.
About the role
A Solutions Architect, internally titled a Senior Forward Deployed Engineer, doesn't build generic capability for a broad market — they embed with one strategic customer and make the platform work inside that customer's actual environment, against that customer's real data, APIs, and constraints. That's this role.
What they're looking for
- Deployment support. Support the customer's infrastructure teams in deploying Zenity's new features (e.g., Outpost, Azure AI Foundry) alongside the customer's engineering teams across India and the US
- Security investigations. Lead security investigations arising from validation efforts, create and manage associated security incidents, and drive them through to resolution
- Cadence & accountability. Run weekly sync meetings with the customer and Zenity teams to review open issues, track progress, and ensure accountability through to closure
- Strong technical fundamentals first. You're comfortable designing and configuring solutions hands-on, this is a technical role, not a sales or consulting role wearing an engineering title
- Comfort with ambiguity. The customer won't hand you a clean spec. You'll be the one imposing structure on a vague, high-stakes problem
- Customer-facing engineering experience — Forward Deployed Engineering, Solutions Architecture, Professional Services Engineering, or Technical Consulting
More about this role
A Solutions Architect, internally titled a Senior Forward Deployed Engineer, doesn't build generic capability for a broad market — they embed with one strategic customer and make the platform work inside that customer's actual environment, against that customer's real data, APIs, and constraints. That's this role.
You'll be embedded onsite with the customer's security team, working directly out of their offices rather than through requirements documents and ticket handoffs. Your job is to close the gap between what the Zenity platform can do in the abstract and what the customer's team needs it to do inside their AI and data platforms and their broader environment. That means gathering requirements straight from the people using the product, designing and building solutions that fit their environment, integrating against the customer's own systems and identity patterns, and staying accountable for the outcome — not just the handoff.
This is closer to running a security and engineering program inside the customer's organization than it is to shipping a roadmap feature. You'll operate with a lot of autonomy in a space where the playbook is still being written, and you'll be the one...
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