Cyber AI Deployment Engineer

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Location:

DC Metro

Accenture Federal’s Secure AI Breach and Exploit Research Team (SABER) is seeking a hybrid technologist who is equally comfortable building modern software systems and breaking them using AFS’s AI Cyber Harness, Fed Cyber.ai. This role blends full‑stack engineering
, advanced penetration testing
, and AI‑driven security automation
. The ideal candidate has deep experience in secure software engineering, offensive security methodologies, and hands‑on application security testing—particularly using or building AI/ML‑powered tooling. You will operate and enhance an internal AI Harness capable of scanning code repositories for vulnerabilities, performing automated triage, generating remediation insights, and integrating with CI/CD pipelines.

• Run, monitor, and optimize AFS’ AI‑powered harness (Fed Cyber.ai) that scans code repositories for vulnerabilities across multiple languages and frameworks.
• Integrate AI‑powered SAST/DAST/SCA insights into developer workflows and CI/CD pipelines.
• Develop custom AI assistive components to improve detection accuracy, false‑positive reduction, and exploitability ranking.
• Automate repetitive security analysis tasks and build scalable scanning workflows.
• Be the Expert Human in the Lead to analyze and customize (if needed) remediation options provided by the scan results and work with the client to roll out immediate patches.

• Design, develop, test, and deploy secure full‑stack applications using modern frameworks (e.g., React, Node.js, Python, Java, Go).
• Implement secure coding practices and build infrastructure‑as‑code for cloud and on‑premise environments (Azure, AWS, GCP preferred).
• Collaborate with Dev Sec Ops  teams to embed security controls and AI‑powered code review capabilities into SDLC.

• Lead and execute penetration testing engagements targeting web apps, APIs, cloud services, and infrastructure.
• Perform threat modeling, exploit development, vulnerability research, and red‑team style assessments.
• Validate AI‑generated findings via manual analysis and offensive techniques (e.g., reverse engineering, fuzzing, ROP chaining).
• Develop testing scripts, harnesses, and tooling to assess complex systems.

• Work closely with developers, architects, and cyber teams to prioritize fixes and advise on secure design patterns.
• Communicate findings and recommendations to technical and non‑technical audiences.
• Contribute to security standards, automation frameworks, and AI/ML model governance.

• A minimum of 2 years of professional experience in one or more of the following domains:
  Cybersecurity, Software Development, Artificial Intelligence/Machine Learning (AI/ML), Dev Sec Ops , Dev Ops, Cloud Computing, or Systems Engineering.
• Experience in software development, with a strong foundation…