About this opportunity
AlignityX lists this AI Security Engineer opportunity in mclean, Virginia. Review the employer’s description below for duties, qualifications and application requirements.
Job description
NOTE: This role does not provide Sponsorship
The Opportunity
We’re partnering with a leading enterprise software company to hire an AI Security Engineer to help build the next generation of security operations: an Agentic SOC.
This is not a traditional SOC or cybersecurity engineering position. We’re looking for an AI/ML engineer and strong software builder who wants to apply advanced AI technologies to real-world security problems.
You’ll design and deploy autonomous and semi-autonomous AI agents that operate within an enterprise security environment, integrating with technologies including SIEM, EDR/XDR and threat intelligence platforms .
The work sits directly at the intersection of AI engineering, software engineering and cybersecurity , with an opportunity to build systems that are still largely uncharted territory.
What You’ll Build
You’ll have direct ownership for designing and delivering production-grade AI capabilities, including:
Agentic AI Systems: Design, test and deploy autonomous and semi-autonomous AI agents integrated with enterprise security platforms.
Multi-Agent Orchestration: Translate traditional SOC playbooks and analyst workflows into deterministic and heuristic agentic pipelines using DAGs and multi-agent routing.
Production RAG: Build and optimize Retrieval-Augmented Generation workflows incorporating real-time security context, network topology and historical incident data.
LLM Performance Engineering: Evaluate and optimize models for accuracy, context-window utilization, latency, scalability and cost.
Human-in-the-Loop Systems: Partner with Tier 3 security analysts and threat hunters to create intelligent escalation and handoff mechanisms between AI agents and humans.
AI Security: Engineer safeguards against prompt injection, data poisoning, model/tool abuse and other emerging LLM vulnerabilities.
Cloud-Native AI: Deploy and scale AI workloads within containerized cloud environments.
What We’re Looking For
Above all, you are a builder.
You’ve moved beyond AI experimentation and can demonstrate experience developing software and AI/ML technologies that solve real problems.
Required:
Bachelor’s degree in Computer Science, AI, Electrical Engineering, Computer Engineering or a related field plus 4+ years developing AI/ML algorithms or technologies , OR a relevant Master’s degree plus 2+ years of experience
2+ years of software development experience using Python, Go, Scala or Java
Strong software engineering fundamentals and the ability to build clean, production-grade systems
Experience developing AI/ML technologies beyond basic API integration or prompt engineering
Ability to take an ambiguous technical problem and turn it into an executable architecture and working solution
Genuine interest in applying AI to cybersecurity and security operations
Ability to work on-site five days per week in McLean, Virginia
Highly Valuable Experience
We’re particularly interested in candidates with experience in several of the following:
LangChain, LlamaIndex, AutoGen, CrewAI or Semantic Kernel
Multi-agent architectures and orchestration
Production RAG systems
Pinecone, Qdrant, Milvus, Weaviate or other vector databases
Kubernetes, EKS or AKS
SIEM, EDR/XDR or threat-intelligence platforms
Security operations or threat intelligence
LLM evaluation and performance optimization
OWASP Top 10 for LLMs
AI guardrails, prompt-injection prevention and secure agent/tool execution
Who Will Thrive Here
You’ll likely love this opportunity if you’re the engineer who wants to build what doesn’t have a playbook yet.
You care about model performance, but you care just as much about architecture, reliability, and what happens when an AI system encounters something unexpected in production.
You’re comfortable working alongside security experts without needing to have spent your entire career in cybersecurity. Conversely, if you come from security, you have developed meaningful AI/ML and software engineering depth rather than simply using AI-enabled security tools.
This team moves quickly, expects a high level of ownership, and values engineers who challenge assumptions, experiment intelligently, and ultimately ship.
Compensation
Base Salary: $100,000–$200,000 (Total Comp variable based on: Base + Bonus + RSU's)
Actual compensation will depend on experience, technical depth and qualifications. The total rewards package also includes a discretionary performance bonus, comprehensive benefits and potential eligibility for equity awards.
Location
This position is on-site four to five days per week. Candidates must be able to work from the McLean office on a full-time basis.
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Worksite address
mclean, VA, 22107, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.