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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lead AI Security Engineer - **Company:** Appian Corporation - **Location:** Tysons, VA, United States - **Experience:** Expert - **Salary:** $150,000 - $275,000 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Encodings, Cyber Security, Computer Programming, Computer Engineering, Directed Acyclic Graph (Directed Graphs), Network Topologies, Python (Programming Language), Open Web Application Security, Performance Tuning, Security Log, Security Information and Event Management, Software Engineering, Pinecone, QLoRA, Qdrant, Google Cloud, Cloud Platform System, LangChain, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Data Poisoning, Llamaindex, Appian, Generative AI, Cyber Threat Analysis, Agentic-AI, Falcon Platform, Kubernetes, Information Technology, CrewAI, Palo Alto Networks, Weaviate, Microsoft Sentinel, AutoGen, Cortex XSOAR Platform, Build Tools, Milvus, 3-tier Architectures, Restful APIs, Semantic Kernel, Splunk, Webhooks, Human in the Loop - **Published:** November 14, 2026 - **Apply:** https://www.juju.com/job/16_ee42922a1 ## About the Role * 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 systems that can perform autonomous triage and semantic correlation. * Resilient: You are a trailblazer who can forge new paths to achieve security goals in an evolving threat landscape. * Education: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, OR a Master's degree in a related field plus at least 2 years of experience, * Hands-on experience building multi-agent or complex orchestration systems using tools such as LangChain, LlamaIndex, AutoGen, CrewAI, or Semantic Kernel * Proven experience working with production Vector Databases (e.g., Pinecone, Qdrant, Milvus, or Weaviate ) for semantic chunking, embedding generation, and metadata filtering. * Experience interfacing with cybersecurity platforms via REST APIs/Webhooks (e.g., Splunk, CrowdStrike, Microsoft Sentinel, Palo Alto XSOAR). * Experience deploying and scaling AI workloads in containerized cloud environments (AWS, Azure, or GCP using Kubernetes/EKS/AKS) * Understanding of fine-tuning methodologies (LoRA, QLoRA) for smaller, domain-specific open-source models (e.g., Llama 3, Mistral) tailored for security log analysis * Passion for staying abreast of the latest AI research and security systems, and an ability to judiciously apply novel techniques in production. ## Description 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., 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 .