Spectrum Cyber AI Researcher Security Clearance

Position: Staff Full Spectrum Cyber AI Researcher with Security Clearance
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- Description ​The Leidos Cyber Accelerator is seeking a hands-on applied researcher to invent, prototype, and operationalize agentic AI systems, and the automation required to deploy them in enterprise environments. You will evaluate emerging agentic patterns (multi-agent coordination, tool use, human-in-the-loop oversight), implement them as working systems, and build reusable automation and integration patterns (e.g., LLM-driven tool connectors/protocols) that enable secure, observable, repeatable paths for deployment, validation, and security testing.

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Primary Responsibilities:

-Comfortable with modern tools to support configuration and software development (examples: Codex, Claude Code).
-Research, prototype, and evaluate multi-agent architectures (supervisor/worker, hierarchical, HITL) and translate successful patterns into reusable libraries/services.
-Agent/orchestration frameworks (examples: Lang Graph-style state machines, Auto Gen-style agent teams, CrewAI-style workflows)
-Build secure agent-to-tool integrations using open connectivity standards.
-Agent tool-integration protocols (examples:
Model Context Protocol (MCP), structured tool/function calling patterns)
-Create deployment automation for agentic services: reproducible environments and repeatable enterprise releases on Kubernetes.
-IaC & environment provisioning (e.g., Terraform)
-Kubernetes packaging & configuration management (examples: Helm, Kustomize)
-Stand up production-like stacks on AWS + Kubernetes and codify them into repeatable, automated, tooling.
-Debug and refine AI-driven workflows, ensuring that work can be generalized.
-Create trials and collect metrics for demonstrating success of automated deployments and connectivity between enterprise components.
-Build observability-first agent systems (tool-call telemetry, step tracing, eval hooks).
-Research and apply nonhuman/workload identity patterns for agentic services and integrate into deployment automation.
-Model serving/inference platforms (examples: Ollama, vLLM, Ray Serve)
-Observability/instrumentation standards (examples: Open Telemetry) and common backends (examples: Prometheus, Grafana, Jaeger)
(Optional, as mission needs) Experiment with scalable serving patterns for LLM endpoints on Kubernetes. ​

Basic Qualifications:

-Bachelor’s degree and 8+ years relevant experience (software engineering, applied R&D, platform/Dev Sec Ops , AI/ML engineering, cyber engineering). Additional years may substitute for degree.
-Proven hands-on delivery: prototypes that ran, tools others used, automation others depended on.
-Strong development skills; experience building LLM-enabled systems and/or multi-agent workflows.
-Practical experience with Kubernetes and modern deployment/IaC practices;
Terraform, K8s familiarity.
-Must be a US Citizen with the ability to obtain and maintain a Secret clearance. ​

Preferred Qualifications:

-Experience productizing internal platforms (“paved roads”): templates, reference architectures, golden paths, and guardrails.
-Git Ops delivery experience (Argo CD/Flux or similar), and observability pipeline experience (Open Telemetry or similar).
-Workload identity / service-to-service auth experience (SPIFFE/SPIRE, mTLS, policy enforcement).
-Familiarity with research methodologies, with a focus on establishing validation of techniques (e.g., F1 scores, ROC/AUC, correlation methods).
-Ability to obtain and maintain a TS/SCI clearance.
If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares. Original Posting:
February 6, 2026 For U.S. Positions:
While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range:
Pay Range $ - $ The Leidos pay range for this job level is a general guideline only and not a…