Senior AI Systems Engineer

Swimlane is redefining security operations with Agentic AI automation that empowers organizations to work smarter, respond faster, and stay ahead of threats. Our low-code platform combines automation, orchestration, and intelligent reasoning to unlock true operational autonomy across the modern SOC.

At Swimlane, we put people first. We foster a culture of innovation, trust, and continuous improvement—where your ideas matter and your work drives meaningful change. Join us and help build the next era of Agentic AI-powered security operations.

Agentic AI & AI SOC

Our current team is firing on all cylinders to deliver core features, but as our product scope rapidly expands, we need a technical driver to help us scale. We are looking for a Principal AI Systems Engineer to act as a pathfinder and shape the next generation of AI SOC capabilities in the Swimlane Turbine platform.

This position sits within Data Science but is fundamentally a software engineering and integration role—not a model-training role. You will take the wheel on applied LLM projects, driving the transition from single-prompt features to robust multi-agent systems and intelligent customer-facing security chatbots.

• Drive Architectural Change:
  Lead the technical strategy and hands‑on execution for building production-grade multi-agent systems and security chatbots.
• Scale Our Capabilities:
  Act as an accelerator for the team, taking ownership of new AI feature development so we can keep pace with rapidly growing product demands.
• Build Applied LLM Workflows:
  Design secure, maintainable workflows using for AI SOC use cases like alert triage, summarization, and workflow automation.
• Own Evaluation (Evals):
  Create test sets, define success metrics (accuracy, faithfulness, latency), and run regression tests before and after changes for your features.
• Monitor Production Behavior:
  Debug hallucinations and systematically reduce failure modes through better retrieval, prompting, and guardrails (not just "tweak the temperature").
• Establish Engineering Standards:
  Define robust patterns for context engineering, tool design, retrieval, and harness engineering to ensure our agents are rigorously evaluated for quality and safety.
• Champion Security-First AI:
  Ensure data privacy, access controls, and prompt injection defenses are embedded deeply into our multi-agent architectures.
• Collaborate Cross-Functionally:
  Work seamlessly across Data Science, Engineering, Product, and Platform teams to guide emerging AI capabilities from prototype to production.

• 8+ years of professional software engineering experience, with a strong foundation in designing and operating reliable, production-grade systems.
• Programming
  
  Languages:
  
  Expertise in .NET, Type Script or Python is expected.
• 1–2 years of hands‑on applied AI experience specifically focused on building multi-agent systems, chatbots, tool-using agents, or AI-powered automation.
• Cloud‑Native AI Expertise:
  Practical experience using cloud AI services (AWS Bedrock strongly preferred) and LLM provider SDKs (such as Claude Agent
  
  SDK).
• Core AI Technical Depth:
  Proven understanding of enterprise RAG systems, Model Context Protocol (MCP) tool integrations, context engineering, and harness engineering for evaluations.
• Project Leadership: A track record of driving complex technical projects and influencing architectural decisions in a fast-paced, low-bureaucracy environment.
• Security Mindset:
  Strong grasp of AI security frameworks, data privacy

• Experience building security automation, SOAR, SOC, threat intelligence, detection engineering, or incident response products.
• Familiarity with AI security frameworks, prompt injection defenses, agent sandboxing, policy-based tool control, or AI governance practices.
• Experience building evaluation harnesses for AI quality, latency, cost, safety, and reliability.
• Experience using AI coding tools such as Cursor, Claude Code, Git Hub Copilot, or similar tools in real engineering workflows.

• Competitive Benefits & Compensation
• Stock Options
• Training & Professional Development Opportunities
• Mac Book Pro
• Great Company Culture
• We value collaboration and innovation