AI Security Engineer

🕒 April 29

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J.S. Held LLC

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

💸 Finance

💰 Private Equity Round on 2015-10

Finance • Construction • Consulting

J. S. Held LLC is a global consulting firm that provides a broad array of technical, scientific, financial, and strategic expertise to help clients navigate complex, high-stakes situations and mitigate risk. The company offers services across various industries including construction, insurance, and environmental services, with a focus on delivering solutions for contentious and catastrophic scenarios. Known for its integrity and clear-cut analysis, J. S. Held assists organizations by offering in-depth advisory on financial investigations, valuations, risk assessments, forensic services, and strategic planning. With a combination of world-class talent and technology, J. S. Held is dedicated to supporting its clients in making informed decisions while managing both tangible and intangible assets.

📋 Description

• Designing, engineering, and operationalizing AI security across J.S. Held’s enterprise • Serving as the central Cyber Security owner for all AI Security • Ensuring AI technologies are securely designed, implemented, and operated • Defining and evolving the enterprise AI Security Architecture, guardrails, and security requirements • Designing and engineering security controls for AI‑enabled SaaS applications, internal AI agents, and automation workflows • Extending identity and access principles to non‑human identities and autonomous agents • Identifying and mitigating AI‑specific risks including data leakage, prompt injection, jailbreaks, and AI supply‑chain risk • Defining logging, monitoring, and detection requirements for AI systems, models, and agent activity • Working closely with IAM, SecOps, AppSec, GRC, IT engineering, AI platform teams, and business stakeholders to embed security controls where they belong

🎯 Requirements

• 8+ years of experience in cybersecurity engineering, cloud security, application security, or data security • Direct, hands‑on experience with Azure AI Foundry and Copilot Studio in enterprise environments • Strong experience securing cloud and SaaS platforms (Azure preferred) • Deep understanding of identity, access control, data protection, and secure application/API design • Proven ability to translate security requirements into practical, deployable controls • Experience securing generative AI, LLM‑based systems, and agentic architectures (preferred) • Familiarity with RAG architectures, vector databases, embeddings, and MCP integrations (preferred) • Scripting or automation experience (e.g., Python or PowerShell) to integrate security controls into engineering workflows (preferred)

🏖️ Benefits

• Our flexible work environment allows employees to work remotely when needed • Generous Annual Leave Policy • Comprehensive Medical Insurance