Forward Deployed Engineer – AI Security & Compliance

Scopic

. Own SOC for AI platform implementations end-to-end, from kickoff to go-live in enterprise environments .

Posted 10/13/2026part-timeRemoteMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates advanced proficiency in Python for backend workflows and secure API integrations, alongside a strong understanding of cybersecurity compliance frameworks such as NIST CSF and ISO 27001. Capable of managing enterprise-level AI platform implementations while effectively communicating technical concepts to non-technical stakeholders.

Highest-signal resume keywords

Advanced Python ProficiencyExperience with LLMs and Agentic FrameworksFamiliarity with NIST CSF and ISO 27001Proven Experience in Project Planning and Risk MitigationStrong Client-Facing Communication Skills

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Python ProgrammingAPI IntegrationProject ManagementRisk MitigationCompliance ControlAudit LoggingData Loss Prevention (DLP)EncryptionContainerizationModel Context Protocol (MCP)

Soft Skills

Client-Facing CommunicationSelf-MotivationAbility to Work Independently

Tools & Technologies

AWSGCPAzureLangChainLlamaIndexAutoGenCrewAI

Industry Keywords

NIST 800-53SOC 2FedRAMPCMMCPCI-DSSNIST AI RMFOWASP Top 10

Tech Stack

Tools & technologies

AWSAzureCyber SecurityGoogle Cloud PlatformPython

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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