Jobs / United States / Appian Corporation
Lead AI Security Engineer
Appian Corporation · 🇺🇸 McLean, Virginia
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 18 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 11 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Appian Corporation paid sponsored hires in similar roles6 certified filings for “Product Security Engineer II” (Information Technology Project Managers) in VA: $146k–$175k, median $154k. Most were filed at wage level II (50%) — 2 lottery entries, ≈31% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
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Sponsor Radar — Appian Corporation
The US Department of Labor certified 18 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 11 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Appian Corporation →
About the role
Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you’ll be part of a passionate team dedicated to accomplishing hard things, together. Lead AI Security Engineer (Agentic SOC) Location: McLean/Tysons, VA | On-site (5 days/week) ABOUT THE TEAM We are pioneering the next generation of cyber defense by building an Agentic Security Operations Center (SOC). Our mission is to move beyond reactive alerting by creating self-orchestrating, context-aware AI systems capable of autonomous triage, semantic correlation, and proactive threat mitigation. In this role, you will leverage emerging AI capabilities to reimagine how we defend our organization. THE OPPORTUNITY The AI SOC Engineering team is at the center of bringing our vision for AI-driven security to This is a squad of builders operating at the intersection of Generative AI, software engineering, and offensive/defensive security. We don't just write scripts; we architect the intelligent fabric of our defensive posture. We build and deploy production-grade, proprietary multi-agent systems that empower our human analysts to handle complex incident response with autonomous agents AI in responsible and scalable ways. WHAT YOU'LL DO • Build & Deploy Agents: Design, test, and deploy autonomous and semi-autonomous AI agents that integrate natively with our enterprise security stack (SIEM, EDR, XDR, and Threat Intel feeds). • Code the Playbooks: Translate traditional, human-centric SOC playbooks and analyst workflows into deterministic and heuristic agentic pipelines (using DAGs and multi-agent routing). • Optimize RAG Pipelines: Design, optimize, and maintain production-grade Retrieval-Augmented Generation (RAG) workflows to inject real-time security context, network topology, and historical incident logs into agent prompts. • LLM Performance Engineering: Continuously evaluate, benchmark, and optimize LLM performance, context window utilization, latency, and cost-efficiency across various models (OSS and commercial). • Design Human-in-the-Loop (HITL): Collaborate deeply with Tier 3 Analysts and Threat Hunters to engineer seamless HITL handoff mechanisms, ensuring agents safely escalate complex anomalies to humans. • Secure the AI: Implement robust security boundaries around our LLM architecture, mitigating risks like prompt injection, data poisoning, model tool-abuse, and addressing the OWASP Top 10 for LLMs . REQUIRED QUALIFICATIONS • 4+ years of professional software engineering experience, with at least 1.5+ years explicitly dedicated to building applications powered by Large Language Models (LLMs) • 5+ years of experience programming with Python • 2+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g., AWS, Google Cloud, Azure) • You love to build systems: You take pride in the quality of your code and possess a deep passion for applying AI to solve complex security challenges. • Security-First Mindset: You blend foundational software engineering with practical security domain knowledge. You understand that the best defenses are built on a bedrock of clean, reliable, and scalable engineering. • Adaptability: You thrive on bringing clarity to big, undefined problems in the security space. You love asking questions, digging deep to uncover the root of threats, and articulating your findings concisely. • Deeply Technical: You possess a strong foundation in engineering and mathematics. Your expertise in software and AI enables you to design intelligent