Cyber AI Deployment Engineer

Socket.dev; Washington (District of Columbia); Hybrid; USD 140,000 - 200,000; Full time

Job summary

Accenture Federal Services, a technology company within Accenture, seeks a Cyber AI Deployment Engineer for the DC Metro area. The role blends full‑stack development, offensive security, and AI‑driven automation to build and secure software across CI/CD pipelines and cloud/on‑prem environments.

You will operate the internal AI Harness (FedCyber.ai), integrate SAST/DAST/SCA insights, and work with DevSecOps to embed security controls into the SDLC while guiding remediation options with clients.

Qualifications

• Hands-on secure software engineering experience required.
• Experience with offensive security methodologies and testing.
• Ability to build AI-powered tooling for security automation.

Responsibilities

• Run, monitor, and optimize AI-powered security harness scanning code repos.
• Integrate AI-derived SAST/DAST/SCA insights into CI/CD pipelines.
• Develop AI components to improve detection accuracy and remediation ranking.
• Automate security analysis tasks and scalable scanning workflows.
• Lead remediation options with client engagement.

Skills

Full-stack engineering

Offensive security

AI-driven security

CI/CD integration

Tools

React

Node.js

Python

Java

Go

Job description

At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people.

Join Accenture Federal Services, a technology company within global Accenture. Recognized as a Glassdoor Top 100 Best Place to Work, we offer a collaborative and caring community where you feel like you belong and are empowered to grow, learn and thrive through hands‑on experience, certifications, industry training and more.

Join us to drive positive, lasting change that moves missions and the government forward!

Cyber AI Deployment Engineer

Location: DC Metro

OverviewAccenture 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, FedCyber.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.

Key Responsibilities

AI Harness Operations & Automation

• Run, monitor, and optimize AFS’ AI‑powered harness (FedCyber.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.

Secure Full‑Stack Development

• 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 DevSecOps teams to embed security controls and AI‑powered code review capabilities into SDLC.

Penetration Testing & Offensive Security

• 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.

Collaboration & Governance

• 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.

Required Qualifications