Appian Corporation
Senior AI Security Engineer
McLean, Virginia · Senior
Sponsorship not specifiedDetected 12 days ago
PythonVector DatabasesAWSGCPAzureCloud PlatformsKubernetesRESTLLMsRAGAgentic AICybersecuritySIEMMicrosoft SentinelRecruitingResearchMentoringAdaptability
About the role
- 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.
- 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.
Responsibilities
- 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).
- 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.
- Collaborate deeply with Tier 3 Analysts and Threat Hunters to engineer seamless HITL handoff mechanisms, ensuring agents safely escalate complex anomalies to humans.
- 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.
- Your expertise in software and AI enables you to design intelligent systems that can perform autonomous triage and semantic correlation.
Requirements
- 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)
Nice to have
- 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.
- 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.
- Community: We'll immerse you into our community rooted in respect starting on day one.
Skills
- This commitment ensures that employees have access to a holistic range of development opportunities.
Benefits
- Appian offers a comprehensive benefits package designed to support your health, wellbeing, and financial future.
- 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 vary by country-please ask your Talent Acquisition contact for details specific to the location you are applying to.
Company info
- Here at Appian, our values of Intensity and Excellence define who we are.
- When you join Appian, you'll be part of a passionate team dedicated to accomplishing hard things, together.
Equal opportunity
- LinkedIn, Youtube, Instagram, Facebook
- 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.
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This listing is sourced directly from Appian Corporation's careers page and normalized into a canonical job model.