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Senior Forward Deployed Engineer, AI Security and Compliance
Deploy Scopic’s AI security and compliance platform for enterprise clients, from kickoff through launch. Build deterministic Python workflows, connect data systems through MCP, and lead client implementations.
Сипаттама
- Lead end-to-end implementations of Scopic’s SOC for AI platform in enterprise environments, from kickoff through go-live.
- Coordinate project schedules, deliverables, and milestones.
- Identify, document, and mitigate project risks while upholding cybersecurity, quality, and performance standards.
- Serve as the main point of contact for CISOs, GRC teams, data scientists, and internal product and engineering teams.
- Update clients on the product roadmap, releases, and capabilities.
- Deploy and configure the platform, aligning agent behaviors and audit trails with regulatory controls and cybersecurity policies.
- Apply security policies, observability, and compliance guardrails to AI agents.
- Connect client data systems and APIs through MCPs while preserving privacy and role-based access controls.
- Build and deploy deterministic Python workflows alongside AI models.
- Spot implementation gaps and translate them into engineering requirements.
- Set and monitor measures such as compliance control coverage, anomaly detection rates, and automated audit reporting.
- Present security outcomes and platform return on investment to executives.
- Identify ways to expand the platform’s use.
Талаптар
- Advanced Python skills for reliable, deterministic backend workflows and secure API integrations.
- Practical experience with LLMs, function calling and tool use, and agent frameworks such as LangChain, LlamaIndex, AutoGen, and CrewAI.
- Understanding of the Model Context Protocol (MCP) and secure connections between AI models and external data sources.
- Familiarity with controls under NIST CSF, NIST 800-53, ISO 27001, SOC 2, FedRAMP, CMMC, and PCI-DSS.
- Experience with role- or attribute-based access management (RBAC/ABAC), data loss prevention, encryption, and audit logging.
- Familiarity with AWS, Google Cloud Platform, or Azure, and with containerization.
- Demonstrated leadership of large enterprise software or security deployments, including planning, risk mitigation, and quality control.
- Strong client communication skills and experience working with technical teams, compliance officers, and executives.
- Ability to explain the business value of AI security and compliance to nontechnical leaders.
- Understanding of the NIST AI Risk Management Framework and the OWASP Top 10 for LLM Applications.
- Previous work as a Forward Deployed Engineer, Solutions Engineer, or technical implementation lead.
- Experience finding opportunities to expand accounts through delivery.
- Self-directed approach and ability to maintain close project oversight in a flexible, part-time remote arrangement.
- Excellent written and spoken English.
- Stable internet access.
- Ability to work as an independent contractor.
Артықшылықтар
- Paid training and other professional development opportunities.
- Access to modern technologies and a team committed to strong engineering and continuous improvement.
- Flexible scheduling and choice of working hours.
- Choice of time zone.
- Work from anywhere with a stable internet connection.
- Steady access to engaging, challenging product work.
- Annual pay increases based on diligence and strong performance.
- Monthly compensation by wire transfer.
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