A hybrid role at Agile Defense.
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Deliver support services related to testing, reporting, and assessing a range of AI applications.
Conduct operational testing and evaluation of AI to determine capability gaps and uncover vulnerabilities in deployed AI solutions.
Review current cyber defense posture, identify vulnerabilities to AI‑driven threats and assist in developing and implementing protective measures.
Provide SOPs, testing plans, and methodologies used, as well as reports outlining findings and actionable recommendations for remediation. This reporting shall include SOP development, identification of the methods employed, and findings accompanied by actionable corrective measures.
Bachelor’s of Science, Mathematics, or equivalent experience
Top Secret Clearance
5+ years in ML, Data Science, or AI engineering; 2+ years focused on Generative AI and LLMs
Deep expertise in machine learning, deep learning, and statistical modeling
Hands-on experience with LLM frameworks, vector databases, and prompt engineering
Advanced Python proficiency; production-grade software development experience
MLOps and cloud AI platform experience (Azure AI, AWS Bedrock, Google Vertex AI)
Proven track record taking AI solutions from PoC to production
Experience in assessing cyber risk and functionality of AI solutions
Experience in incorporating automation and artificial intelligence into cyber prpgrams
Experience with data analytic software such as Splunk, Cribl, Elastic and Sentinel
Open-source contributions or published AI research
Experience with edge/low-latency model optimization
Certifications in AI Ethics, Responsible AI, or Cloud AI Architecture
Familiarity with adversarial AI testing and red-teaming…
Agile Defense
Other
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