Freelance Mechanical CAD and Simulation Engineer training AI agents in real CAD environments. Designing geometry, building reference solutions, and evaluating engineering tasks for a global platform.
About the role
- Forward Deployed Engineer deploying Scopic’s SOC for AI platform for enterprise security and compliance. Building Python workflows, integrating MCPs, and leading client implementations.
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
- Identify, log, and mitigate project risks while ensuring cybersecurity, quality, and performance standards
- Act as the primary contact between CISOs, GRC teams, Data Scientists, and internal Product & Engineering teams
- Keep clients informed about the product roadmap, updates, and 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
- Integrate client data systems and APIs via MCPs while maintaining privacy and RBAC access controls
- Design, build, and deploy deterministic Python workflows alongside AI models
- Identify implementation gaps and translate them into engineering requirements
- Define and track success metrics such as compliance control coverage, anomaly detection rates, and automated audit reporting
- Present security outcomes and platform ROI to executives
- Identify opportunities to expand the platform’s footprint
Requirements
- Advanced Python proficiency for writing robust, deterministic backend workflows and secure API integrations
- Hands-on experience with LLMs, function calling/tool use, and agentic frameworks such as LangChain, LlamaIndex, AutoGen, and CrewAI
- Understanding of Model Context Protocol (MCP) and secure connections between AI models and external data sources
- Familiarity with controls for NIST CSF, NIST 800-53, ISO 27001, SOC 2, FedRAMP, CMMC, and PCI-DSS
- Experience with access management (RBAC/ABAC), DLP, encryption, and audit logging
- Familiarity with AWS, GCP, or Azure and containerization
- Proven experience leading large enterprise software or security deployments, including project planning, risk mitigation, and quality control
- Strong client-facing communication skills and experience working with technical teams, compliance officers, and executive leadership
- Ability to present the business value of AI security and compliance to non-technical leaders
- Understanding of NIST AI RMF and OWASP Top 10 for LLMs
- Previous experience in a Forward Deployed Engineer, Solutions Engineer, or technical implementation lead role
- Experience identifying upsell or account expansion opportunities through delivery
- Self-motivated and able to maintain tight project governance in a flexible, part-time, remote setup
- Excellent written and spoken English
- Stable internet connection
- Ability to work as an independent contractor
Benefits
- Paid training and other professional opportunities
- Access to modern technologies and a team that values strong engineering and continuous improvement
- Flexible schedule and preferred hours
- Choice of time zone
- Work from anywhere with a stable internet connection
- Consistent flow of engaging, challenging product work
- Annual pay increases for diligence and strong performance
- Monthly compensation via wire transfer
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Degree requirement
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