AI Security Engineer

AI Security Engineer (Agentic SOC)

In this role, you will:

• 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.

• Builder First:
  You take immense pride in shipping clean, production-grade, asynchronous code. You care about system architecture as much as model accuracy.
• Security-Curious or Security-Hardened:
  You bridge the gap between AI research and practical cybersecurity. You understand that an AI agent is only as good as the guardrails keeping it from deleting a production server during a false positive.
• Thrives in Ambiguity:
  Building an Agentic SOC means charting unknown territory. You love breaking down abstract, high-level security problems into concrete, execution-ready AI systems.

• Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 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.
• At least 2 years of experience programming with Python, Go, Scala, or Java.

• 3 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g., AWS, Google Cloud, Azure).
• Experience designing, developing, delivering, and supporting AI services, specifically within the domains of security operations or threat intelligence.
• Hands-on experience building multi-agent or complex orchestration systems using tools such as Lang Chain, Llama Index, Auto Gen, 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 deploying and scaling AI workloads in containerized cloud environments (AWS, Azure, or GCP using Kubernetes/EKS/AKS).

Appian offers a comprehensive benefits package designed to support your health, wellbeing, and financial future. Benefits may include health coverage, Employee Assistance Program with free mental health support, life and disability insurance, an Employee Stock Purchase Program, a retirement/pension plan, wellness dollars, tuition reimbursement, family-forming benefits, and more.

Appian is an equal opportunity employer that strives to attract and retain the best talent. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state, or local law. Appian provides reasonable accommodations to applicants in accordance with all applicable laws.

If you need a reasonable accommodation for any part of the employment process, please contact us by email at Reason Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address.

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