> Markdown version of [/jobs/ext/599876-ai-security-solutions-architect](https://www.wearedevelopers.com/jobs/ext/599876-ai-security-solutions-architect). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# AI Security Solutions Architect

- **Company:** Booz Allen Hamilton Inc.
- **Location:** Washington, DC, United States
- **Experience:** Experienced
- **Salary:** $99,000.0 - $225,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Business Analytics Applications, Apache HTTP Server, Microsoft Azure, Cyber Security, Information Engineering, Data Governance, Intrusion Detection and Prevention, Information Systems Security Architecture Professional, Tensorflow, Software Engineering, Systems Architecture, Data Ingestion, Pytorch, Large Language Models, Snowflake, Apache Spark, SC Clearance, Scikit Learn, Kubernetes, Apache Flink, HuggingFace, Performance Monitor, Apache Kafka, Machine Learning Operations, Stream Processing, Software Version Control, Data Pipelines, Databricks
- **Published:** June 18, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=e1553a0a0d882947

## About the Role

Do you have experience in Threat detection & response?, Do you have a High school diploma or GED?, * 8+ years of experience in cybersecurity, systems architecture, or software engineering, including AI/ML solution design

 * 3+ years of experience designing, deploying, and securing AI/ML pipelines, including model training, inference, and monitoring
 * Experience with large language model platforms and APIs such as OpenAI, Anthropic, Azure OpenAI Service, and Amazon Bedrock, ML frameworks such as TensorFlow, PyTorch, scikit-learn, and Hugging Face Transformers, data engineering and analytics platforms such as Databricks, Apache Spark, Snowflake, and Apache Iceberg, and ML orchestration and serving platforms such as Amazon SageMaker, Vertex AI, MLFlow, and Kubeflow
 * Experience implementing AI security controls, including data provenance, model integrity, and AI supply chain risk management
 * Experience integrating AI into operational workflows, including SOC automation, threat detection, and cyber analytics
 * Knowledge of AI governance frameworks and DoD Responsible AI principles
 * Ability to obtain a Secret clearance
 * HS diploma or GED

Nice If You Have:

 * 5+ years of experience supporting DoD, Intelligence Community, or federal civilian agency missions
 * Experience operating in IL5, IL6, or IL7 environments
 * Experience developing AI-enabled defensive cyber capabilities such as automated triage, detection engineering, or autonomous response
 * Experience securing large language models, RAG architectures, or agentic AI systems
 * Experience with MLOps or AIOps practices, including model versioning, drift detection, and performance monitoring
 * Experience with stream processing platforms such as Cribl, Kafka, or Flink, for real-time AI data ingestion
 * Experience with data governance for AI training data in multi-classification or coalition environments
 * Bachelor's degree in CS, Data Science, AI, Cybersecurity, or Engineering
 * DoD 8140 Certification such as Security+, CISSP, CASP+, or CCSP Certification

## Description

As a Secure AI Architect, you'll be responsible for designing and implementing secure architectures for artificial intelligence and machine learning (AI/ML) systems across the organization. This role bridges cybersecurity and AI engineering disciplines to ensure that AI models, data pipelines, and supporting infrastructure are protected against threats such as data poisoning, model inversion, prompt injection, and adversarial attacks.

You will play a key role in shaping enterprise AI security strategies, developing secure model deployment frameworks, ensuring compliance with emerging AI regulations, and embedding security-by-design principles into all AI initiatives.


## Related Videos

- [The New AI Security Stack: Observe, Detect, Protect](https://www.wearedevelopers.com/videos/100302-the-new-ai-security-stack-observe-detect-protect)
- [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way)
- [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team)
- [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding)
- [Blueprints for Success: Steering a Global Data & AI Architecture](https://www.wearedevelopers.com/videos/1577-blueprints-for-success-steering-a-global-data-ai-architecture)
- [The AI Security Survival Guide: Practical Advice for Stressed-Out Developers](https://www.wearedevelopers.com/videos/1015-the-ai-security-survival-guide-practical-advice-for-stressed-out-developers)

## Related Articles

- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud)
- [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere)
- [Dev Digest 134 - Where pixels sing?](https://www.wearedevelopers.com/magazine/477-dev-digest-134-where-pixels-sing)
- [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)
- [Dev Digest 164: AI Agents, AI Blindspots and MCP security problems](https://www.wearedevelopers.com/magazine/578-dev-digest-164-ai-agents-ai-blindspots-and-mcp-security-problems)