Senior AI Security Engineer

4 hours, 29 minutes ago
Full-time
Senior
Artificial Intelligence and Machine Learning
Appian

Appian

Appian is a top low code development platform that accelerates digital transformation, reinventing customer experiences and optimizing operations with industry-leading BPM and Case Management capabilities.

Internet Software & Services
1K-5K
Founded 1999

Description

  • Design, test, and deploy autonomous and semi-autonomous AI agents that integrate with enterprise security tools and threat intelligence sources.
  • Translate SOC playbooks and analyst workflows into deterministic and heuristic agentic pipelines using DAGs and multi-agent routing.
  • Design, optimize, and maintain production Retrieval-Augmented Generation (RAG) workflows that add real-time security context to agent prompts.
  • Evaluate, benchmark, and optimize LLM performance, context usage, latency, and cost across open-source and commercial models.
  • Collaborate with Tier 3 Analysts and Threat Hunters to design human-in-the-loop handoff mechanisms for complex anomaly escalation.
  • Implement security boundaries around the LLM architecture to mitigate prompt injection, data poisoning, model tool abuse, and related LLM risks.
  • Develop systems that support autonomous triage and semantic correlation for security operations.
  • Work with cybersecurity data sources and platforms through APIs, webhooks, and enterprise integrations.

Requirements

  • 4+ years of professional software engineering experience, including at least 1.5+ years building applications powered by Large Language Models (LLMs).
  • 5+ years of programming experience with Python.
  • 2+ years of experience deploying scalable and responsible AI solutions on cloud platforms such as AWS, Google Cloud, or Azure.
  • Hands-on experience with multi-agent or complex orchestration systems using LangChain, LlamaIndex, AutoGen, CrewAI, or Semantic Kernel.
  • Production experience with vector databases such as Pinecone, Qdrant, Milvus, or Weaviate for semantic chunking, embedding generation, and metadata filtering.
  • Experience interfacing with cybersecurity platforms via REST APIs or webhooks, such as Splunk, CrowdStrike, Microsoft Sentinel, or Palo Alto XSOAR.
  • Experience deploying and scaling AI workloads in containerized cloud environments using Kubernetes, EKS, or AKS on AWS, Azure, or GCP.
  • Understanding of fine-tuning methods such as LoRA and QLoRA for domain-specific open-source models like Llama 3 or Mistral.
  • Passion for staying current with the latest AI research and security systems, with the ability to apply new techniques judiciously in production.

Benefits

  • Comprehensive health coverage.
  • Employee Assistance Program with free mental health support.
  • Life and disability insurance.
  • Employee Stock Purchase Program (ESPP).
  • Retirement or pension plan.
  • Wellness dollars.
  • Tuition reimbursement.
  • Family-forming benefits.
  • Department-specific onboarding training, mentorship, and continuous learning resources.
  • Access to Appian University, leadership development, and skills-based training.

Interested in this position?

Apply directly on the company website

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