This is a remote position.
Are you a hands-on Python engineer who knows cybersecurity compliance inside out and can lead an enterprise deployment from kickoff to go-live? If you enjoy working directly with CISOs and GRC teams, building secure AI agent workflows, and turning field feedback into product improvements, we'd love to hear from you
You'll lead implementations of our client's SOC for AI platform, an enterprise solution to deploy, monitor, audit, and enforce the security and compliance of AI agents, their tools/MCPs, and deterministic Python workflows. This is a part-time, fully remote role. Read on to see if you'd be a good fit for the Scopic team of 250+ professionals from over 60 countries.
Responsibilities
• Own SOC for AI platform implementations end-to-end, from kickoff to go-live in enterprise environments
• Plan, track, and manage project timelines, deliverables, and milestones, adapting to technical and compliance realities on the ground
• Proactively identify, log, and mitigate project risks; ensure deployments meet strict cybersecurity, quality,
and performance standards
• Act as the primary point of contact between client stakeholders (CISOs, GRC teams, Data Scientists) and internal Product & Engineering teams
• Keep clients informed of the product roadmap, updates, and new capabilities
• Deploy and configure the platform, mapping agent behaviors and audit trails to regulatory controls and cybersecurity policies
• Enforce security policies, observability, and compliance guardrails for AI agents within enterprise boundaries
• Integrate client data systems and APIs via MCPs while maintaining data privacy and access controls (RBAC)
• Design, build, and deploy custom deterministic Python workflows that run alongside AI models for reliable, secure, and auditable outcomes
• Identify gaps in AI auditability, compliance mapping, or MCP tooling during implementations and translate them into clear engineering requirements
• Define and track su
📌 Remote Forward Deployed Engineer (Perú)
🏢 Scopic
📍 Perú