Senior AI Security FDE Lead - Production-Embedded Engineer

Accenture; Cleveland (OH); On-site; USD 123,000 - 293,000; Full time

Benefits offered by this job

Medical benefits

401(k) plan

Paid time off

Job summary

Accenture Security seeks a Cybersecurity Forward Deployed Engineer to embed with a client’s teams, delivering secure, governance-enabled AI systems. You’ll own security outcomes, reduce attack surfaces, and implement production-grade tooling using Claude Code, Cursor, or GitHub Copilot.

Role requires deep engineering experience in security domains, hands-on AI deployments, and leadership across client engagements, with travel as needed.

Qualifications

• Minimum of 10 years of engineering experience with cybersecurity depth in at least one area.
• Minimum 2 years designing and deploying agentic AI solutions in production.
• Minimum 8 years end-to-end security delivery ownership in client-embedded or production environments.
• Minimum 8 years working with Cloud security fundamentals across AWS, Azure, or GCP.
• Bachelor's degree or equivalent work experience (minimum 12 years).

Responsibilities

• Lead AI security architecture and threat modeling for production deployments across complex client environments.
• Deliver hands-on security engineering using agentic coding tools in daily delivery practice.
• Own AI-specific threat surface management at programme scale (OWASP LLN Top 10, prompt injection hardening).
• Architect and govern AI security controls across the enterprise stack (IAM, data pipelines, model serving).
• Lead AI governance framework implementation (EU AI Act, NIST AI RMF, model risk management).

Skills

Security architecture

Threat modeling

Cloud security

Executive communication

Education

Bachelor's degree

Tools

Claude Code

Cursor

GitHub Copilot

Job description

Accenture Security seeks a Cybersecurity Forward Deployed Engineer to embed with a client’s teams, delivering secure, governance-enabled AI systems. You’ll own security outcomes, reduce attack surfaces, and implement production-grade tooling using Claude Code, Cursor, or GitHub Copilot.

Role requires deep engineering experience in security domains, hands-on AI deployments, and leadership across client engagements, with travel as needed.