Federal AI Security Architect - Remote & High Autonomy

Jobot; New York (NY); Remote; USD 200,000 - 275,000; Full time

Benefits offered by this job

Remote work USA

Learning & development funding

Home-office support

Connectivity support

Flexible PTO

Company holidays

Job summary

Jobot is seeking a deeply technical AI Solutions Architect for Federal customers, with remote work across the United States. You will architect, deploy, and demonstrate AI security solutions, guiding missions across the Intelligence Community, DoD, DHS, and civilian agencies.

Expect high autonomy and close collaboration with product, research, and engineering teams. You will write Python, deploy Kubernetes in air-gapped environments, and lead proofs-of-value, with direct exposure to cutting-edge

Qualifications

• 5+ years in Solutions Architecture or similar customer-facing technical role.
• Direct federal engagements experience is highly valued.
• Strong hands-on Python development skills.
• Experience with Docker, Kubernetes, and Helm in restricted environments.

Responsibilities

• Lead federal technical engagements and coordinate strategy across government opportunities.
• Architect and deploy enterprise AI security platforms in air-gapped environments.
• Build AI demos, proofs of concept, and secure integration with customer ecosystems.
• Advise on AI security, governance, and risk management for federal customers.
• Present technical solutions to engineers, security teams, and executives.

Skills

5+ years in Solutions Architecture

Python

Strong presentation skills

Tools

Docker

Kubernetes

Helm

OpenShift

AWS GovCloud

Job description

Jobot is seeking a deeply technical AI Solutions Architect for Federal customers, with remote work across the United States. You will architect, deploy, and demonstrate AI security solutions, guiding missions across the Intelligence Community, DoD, DHS, and civilian agencies.

Expect high autonomy and close collaboration with product, research, and engineering teams. You will write Python, deploy Kubernetes in air-gapped environments, and lead proofs-of-value, with direct exposure to cutting-edge