Forward Deployed Engineer – AI Security & Compliance

This is a fully remote position, open to applicants anywhere in the world.

📋 Description

• Take ownership of the SOC for AI platform implementations from the initial kickoff through to the go-live phase in enterprise settings.

• Strategically plan, monitor, and oversee project timelines, deliverables, and key milestones.

• Recognize, document, and address project risks while upholding standards for cybersecurity, quality, and performance.

• Serve as the main liaison among CISOs, GRC teams, Data Scientists, and internal Product & Engineering teams.

• Keep clients updated on the product roadmap, enhancements, and features.

• Implement and configure the platform, aligning agent behaviors and audit trails with regulatory requirements and cybersecurity policies.

• Uphold security protocols, observability measures, and compliance frameworks for AI agents.

• Integrate client data systems and APIs through MCPs while ensuring privacy and RBAC access controls are maintained.

• Design, develop, and execute deterministic Python workflows in conjunction with AI models.

• Identify gaps in implementation and convert them into actionable engineering specifications.

• Establish and monitor success metrics, including compliance control coverage, anomaly detection rates, and automated audit reporting.

• Deliver security outcomes and demonstrate platform ROI to executive stakeholders.

• Explore and identify opportunities to broaden the platform's presence.

⛳️ Requirements

• Advanced proficiency in Python for developing robust, deterministic backend workflows and secure API integrations.

• Practical experience with LLMs, function calling/tool usage, and agentic frameworks like LangChain, LlamaIndex, AutoGen, and CrewAI.

• Understanding of the Model Context Protocol (MCP) and secure connections between AI models and external data sources.

• Knowledge of controls related to NIST CSF, NIST 800-53, ISO 27001, SOC 2, FedRAMP, CMMC, and PCI-DSS.

• Experience with access management (RBAC/ABAC), Data Loss Prevention (DLP), encryption, and audit logging.

• Familiarity with cloud platforms such as AWS, GCP, or Azure and containerization technologies.

• Proven track record in leading large-scale enterprise software or security deployments, including project planning, risk management, and quality assurance.

• Strong communication skills for client interaction and experience collaborating with technical teams, compliance officers, and executive leadership.

• Ability to articulate the business value of AI security and compliance to non-technical stakeholders.

• Understanding of the NIST AI RMF and OWASP Top 10 for LLMs.

• Previous experience in roles such as a Forward Deployed Engineer, Solutions Engineer, or technical implementation lead.

• Experience in identifying upsell or account expansion opportunities throughout project delivery.

• Self-driven with the ability to maintain strict project governance in a flexible, part-time, remote work environment.

• Excellent written and verbal English communication skills.

• Reliable internet connection.

• Capability to operate as an independent contractor.

🏝️ Benefits

• Compensated training and various professional development opportunities.

• Access to cutting-edge technologies and a team that prioritizes strong engineering and continuous improvement.

• Flexible work schedule and preferred working hours.

• Option to choose your time zone.

• Ability to work remotely from anywhere with a stable internet connection.

• Steady stream of engaging and challenging product-related work.

• Annual salary increases in recognition of diligence and strong performance.

• Monthly payment via wire transfer.