Enterprise Cybersecurity Solution Engineer

Job Number: R0239889

Enterprise Cybersecurity Solution Engineer

The Opportunity :

As a Cybersecurity Solution Engineer, you will operate as a hands-on solutions integrator and technical leader responsible for designing, configuring, developing, and deploying enterprise cybersecurity operations solutions for use by the Booz Allen's cyber Operations teams. This role emphasizes execution and delivery of security capabilities, including advanced AI-enabled cybersecurity solutions, while ensuring alignment with enterprise architecture, risk posture, and operational objectives. You will bridge architecture and operations by translating security designs into deployable, scalable, and automated implementations across cloud, network, endpoint, identity, and application domains.

You will originate, facilitate, and lead cross-functional efforts to deploy and mature Enterprise Cybersecurity Operations capabilities, including prevention, detection, response, recovery controls, and efficient execution, while guiding teams through threat-informed improvements, security-by-design practices, and architectural remediation of control gaps. You will perform security solution reviews and provide technical direction for complex initiatives, including modernization, cloud adoption, and platform transformation efforts, translating security findings, incident learnings, and threat intelligence into actionable design decisions and measurable implementation plans. You'll leverage strong analytical and communication skills to assess complex security and business problems, align technical and non-technical stakeholders, and drive decisions to closure in support of Booz Allen's critical enterprise infrastructure, go-to-market platforms, and mission operations. This position is located in McLean, VA.

What You'll Work On:

• Design, configure, and implement enterprise cybersecurity operations solutions across identity, endpoint, network, application, and cloud environments, translating architecture into scalable, production-grade deployments.
• Develop automation, scripting, and Infrastructure-as-Code ( IaC ) to enable repeatable, testable, and version-controlled security implementations and integrations across platforms.
• Design, build, and deploy custom AI / ML solutions for cybersecurity, including model development, retrieval-augmented generation ( RAG ) pipelines, agentic workflows, and LLM-assisted analyst tooling.
• Operationalize custom AI / ML solutions end-to-end, including data pipeline, training or tuning, evaluation, deployment, and monitoring.
• Apply secure-AI engineering practices throughout the AI / ML lifecycle, including model and data protection, prompt and inference risk mitigation, evaluation against adversarial inputs, and responsible AI controls.
• Implement and orchestrate security tools and controls such as SIEM, SOAR, EDR, IAM, or CSPM, including detection logic, response playbooks, and cloud-native security policies , and extend them with custom AI / ML capabilities where commer cia l tooling falls short.
• Collaborate across engineering, platform, data, and operations teams to deliver end-to-end solutions, embed security into DevSecOps and MLSecOps pipelines, and drive implementation through to operational outcomes.

Join us. The world can't wait.

You Have:

• 7+ years of experience in cybersecurity engineering, security architecture, or enterprise security solution implementation, including leadership of cross-domain security initiatives
• Experience designing and implementing enterprise security operations across network, endpoint, application, identity, and cloud environments, with integration across tools using APIs, automation, and workflow orchestration
• Experience applying AI and machine learning to cybersecurity scenarios such as threat or anomaly detection, alert triage, analyst copilots, and response automation, supported by Python-based development for security and AI / ML use cases
• Experience with modern AI / ML frameworks and toolchains, including PyTorch, TensorFlow, scikit-learn, and Hugging Face, and agent frameworks such as LangChain or LlamaIndex
• Experience operationalizing AI / ML systems ( MLOps ) , including model versioning, experiment tracking, evaluation, drift or quality monitoring, and CI / CD for models
• Experience streamlining and redefining operational processes to eliminate manual steps and improve delivery efficiency
• Knowledge of cloud security architectures and native controls in AWS, Azure, or GCP, vector databases such as pgvector, OpenSearch, Pinecone, or Milvus, and modern cybersecurity threats, including ransom war e, insider threat s, credential abuse, data exfiltration, and AI-enabled attacks such as prompt injection, evasion, poisoning, or model theft
• Knowledge of secure AI implementation practices such as model or data protection, prompt or inference risk mitigation, agent guardrails, or governance aligned to NIST AI RMF, OWASP LLM Top 10, or MITRE ATLAS
• Ability to obtain a Secret clearance
• Bachelor's degree

Nice If You Have:

• Experience with programming or scripting languages used in security and automation environments such as Python, Go, SQL, PowerShell, or Bash
• Experience designing, deploying, and maintaining enterprise-scale security solutions for sensitive or regulated environments such as FedRAMP, IL4 / 5, HIPAA, or PCI
• Experience designing and building agentic AI systems for security operations, including multi-step reasoning, tool or function calling, retrieval pipelines, and human-in-the-loop workflows
• Experience fine-tuning, distilling, or evaluating LLMs and other models for domain-specific security tasks, including building eval datasets and red-teaming AI systems
• Experience evaluating and integrating AI-enabled cybersecurity tooling such as AI-assisted SIEM or SOAR, UEBA or behavioral analytics, or model-driven detection workflows into enterprise security operations
• Knowledge of AI governance, model risk management, and policy controls aligned to enterprise and regulatory expectations for responsible AI use
• Knowledge of data governance frameworks, data classification standards, and privacy regulations such as GDPR or CCPA
• Knowledge of database structures, data modeling fundamentals, and query optimization, including SQL and NoSQL platforms
• IT Engineering or Security Certification s such as CISSP, CCSP, or CDPSE Certification, Cloud Security Certification s, or relevant AI Security C ertification s such as ISC2 CAISS or IAPP AIGP Certification

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information .

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,600.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.

Identity Statement

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Candidate AI Usage Policy

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.

Work Model

Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

• Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
• Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
• Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.