2 months ago
Base Salary
$150k - $275k/yr
Responsibilities
- Design, test, and deploy autonomous and semi-autonomous AI agents integrated with SIEM, EDR, XDR, and threat intelligence feeds.
- 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 workflows using security context, network topology, and incident history.
- Evaluate and optimize LLM performance, context-window utilization, latency, and cost efficiency across open-source and commercial models.
- Design human-in-the-loop handoff mechanisms with Tier 3 analysts and threat hunters.
- Implement security boundaries for LLM architectures and mitigate prompt injection, data poisoning, model tool abuse, and OWASP Top 10 for LLM risks.
Requirements
- 4+ years of professional software engineering experience, including at least 1.5+ years building applications powered by 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.
- Strong software engineering, AI, mathematics, and practical security-domain foundations.
- Preferred: hands-on experience with multi-agent or complex orchestration systems using LangChain, LlamaIndex, AutoGen, CrewAI, or Semantic Kernel.
- Preferred: production experience with vector databases such as Pinecone, Qdrant, Milvus, or Weaviate.
- Preferred: experience integrating cybersecurity platforms such as Splunk, CrowdStrike, Microsoft Sentinel, or Palo Alto XSOAR through REST APIs or webhooks.
- Preferred: experience deploying AI workloads in containerized cloud environments using Kubernetes, EKS, or AKS.
- Preferred: understanding of LoRA and QLoRA fine-tuning for domain-specific open-source models such as Llama 3 and Mistral.
Benefits
- On-site in McLean/Tysons, Virginia, five days per week.
- 401(k) plan with company match, flexible time off, paid parental leave, medical, dental, and vision plans.
- Life insurance, disability insurance, wellness programs, flexible spending accounts, and health savings account contributions.
- Employee referral bonus program, learning and development resources, mentorship, Appian University training, leadership programs, and tuition reimbursement.
- Employee affinity groups, Employee Assistance Program with free mental health support, wellness dollars, family-forming benefits, and an Employee Stock Purchase Program.
- A discretionary bonus and potential equity awards may be available, subject to applicable plans.
Tech Stack
Categories
About Appian
Appian builds a low-code platform for process automation, case management, and data orchestration, used by large enterprises and government agencies to design and run mission-critical workflows. It sells subscriptions and services for cloud and on-premise deployments, spanning BPM, RPA, process mining, and AI-enabled capabilities. Founded in 1999 and headquartered in McLean, Virginia, Appian is a public company listed on NASDAQ.