Forward Deployed Engineer – AI Security & Compliance

Job Description:

• 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