AI Security Forward-Deployed Engineer (Production)

Accenture; Redmond (WA); On-site; USD 80,000 - 216,000; Full time

Job summary

Accenture is hiring a Cybersecurity Forward Deployed Engineer to embed with client security and engineering teams, ensuring AI systems are secure, governed, and resilient in real, complex environments.

You will own outcomes: reduced attack surface, production-safe AI deployments, and measurable security posture improvements using AI-assisted tooling and security patterns across the enterprise stack.

Qualifications

• Minimum 3 years in production with cybersecurity depth in at least one area (AppSec, SecOps, cloud security, IAM, offensive security or GRC).
• Minimum 1 year hands-on design/deployment of agentic AI security solutions in production.
• Minimum 3 years of cloud security fundamentals across AWS, Azure, or GCP.
• Bachelor's degree or equivalent work experience (12 years).

Responsibilities

• Support AI security architecture and threat modeling for production agentic deployments across complex environments.
• Deliver hands-on security engineering using agentic coding tools as the primary build environment.
• Support AI-specific threat surface management at programme scale (OWASP LLM Top 10, prompt injection hardening, etc.).
• Architect and govern AI security controls across identity, data pipelines, and model serving.
• Assist with AI governance framework implementation (EU AI Act, NIST AI RMF).
• Shape reinvention security strategy for client CISO/CTO with risk-adjusted investment roadmaps.
• Define reusable security patterns and accelerators across client engagements.
• Contribute to architecture sessions, threat modeling workshops, and code-with sessions.

Skills

Security risk communication

Agentic AI security

Threat modeling

Security architecture

Cloud security fundamentals

Education

Bachelor's degree or equivalent

Tools

Claude Code

Cursor

GitHub Copilot

Job description

Accenture is hiring a Cybersecurity Forward Deployed Engineer to embed with client security and engineering teams, ensuring AI systems are secure, governed, and resilient in real, complex environments.

You will own outcomes: reduced attack surface, production-safe AI deployments, and measurable security posture improvements using AI-assisted tooling and security patterns across the enterprise stack.