Appian Corporation

AI Security Engineer

Appian Corporation$100K — $140K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's or Master's degree in Computer Science, AI, Electrical Engineering, or related fields with 2+ years of AI/ML experience.
  • 2+ years of programming experience in Python, Go, Scala, or Java.
  • 3 years of experience deploying AI solutions on cloud platforms like AWS, Google Cloud, or Azure preferred.
  • Experience with AI services in the security operations or threat intelligence domain.
  • Hands-on with multi-agent systems and orchestration tools.

Responsibilities

  • Build and deploy autonomous and semi-autonomous AI agents for security integration.
  • Code playbooks into automated pipelines for security operations.
  • Optimize and maintain production-grade RAG workflows to enhance agent performance.
  • Evaluate and enhance LLM performance focusing on context and cost-efficiency.
  • Collaborate with analysts to create effective Human-in-the-Loop systems.
  • Implement security measures for AI systems against various risks.

Benefits

  • Health coverage and wellness support.
  • Employee Assistance Program providing free mental health resources.
  • Life and disability insurance options.
  • Retirement/pension plan.
  • Tuition reimbursement for continuous education.
Full Job Description
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.


The Ideal Candidate:
  • You are a 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.
Basic Qualifications:
  • 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.
Preferred Qualifications:
  • 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 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 deploying and scaling AI workloads in containerized cloud environments (AWS, Azure, or GCP using Kubernetes/EKS/AKS).

Are you ready to build the future of autonomous, agentic defense?

Tools and Resources
  • Training and Development: During onboarding, we focus on equipping new hires with the skills and knowledge for success through department-specific training. Continuous learning is a central focus at Appian, with dedicated mentorship and the First-Friend program being widely utilized resources for new hires.
  • Growth Opportunities: Appian provides a diverse array of growth and development opportunities, including our leadership program tailored for new and aspiring managers, a comprehensive library of specialized department training through Appian University, skills based training, and tuition reimbursement for those aiming to advance their education. This commitment ensures that employees have access to a holistic range of development opportunities.
  • Community: We'll immerse you into our community rooted in respect starting on day one. Appian fosters inclusivity through our 8 employee-led affinity groups. These groups help employees build stronger internal and external networks by planning social, educational, and outreach activities to connect with Appianites and larger initiatives throughout the company.

Benefits

Appian offers a comprehensive benefits package designed to support your health, wellbeing, and financial future. Benefits may include health coverage, Employee Assistance Program (EAP) with free mental health support, life and disability insurance, an Employee Stock Purchase Program (ESPP), a retirement/pension plan, wellness dollars, tuition reimbursement, family-forming benefits and more. Benefits vary by country-please ask your Talent Acquisition contact for details specific to the location you are applying to.

About Appian Corporation

MRC II Distribution Company L.P., doing business as MRC, is an American film and television studio. Founded by Mordecai Wiczyk and Asif Satchu, the company funds and produces film and television programming. The company's divisions include MRC Film, MRC Non-Fiction, and MRC Television. In 2018, the company merged with Todd Boehly's media assets under Valence Media, with the company as a whole taking on the MRC name in 2020; this included Dick Clark Productions, audience data firm Luminate,, and the entertainment industry publications Billboard and The Hollywood Reporter. Boehly re-acquired most of these assets in August 2022. The company's most notable productions have included the Netflix series House of Cards and Ozark, and the films Baby Driver, Knives Out, and Ted.
Learn more about Appian Corporation
Size
1,798 employees
Market Cap
$2.3 billion
Industry
Net Income
-$33.4 million
Founded
1999
5 Year Trend
+22.7%
Revenue
$304.5 million
NASDAQ

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