Cybersecurity Forward Deployed Engineer - FDE - Manager

Job title: Cybersecurity Forward Deployed Engineer - FDE - Manager

About the Role Accenture Security is seeking a Cybersecurity Forward Deployed Engineer (FDE) Manager to embed with a client’s security and engineering teams and help make AI systems secure, governed, and resilient in real, complex environments. This role is part of the Reinvention Delivery Engine (RDE) Pod that operates in 90-day delivery cycles, owning end-to-end outcomes across build, deploy, and optimize while embedding inside the client’s technology organization.

What You'll Do

• Lead AI security architecture and threat modeling for production agentic deployments across multi-stakeholder environments (LLM systems, multi-agent pipelines, RAG architectures, and MLOps) from assessment to hardened deployment.
• Deliver hands-on security engineering using agentic coding tools as the primary build environment: build AI-powered detection, automated threat response tooling, security assessment frameworks, and governance automation using Claude Code, Cursor, or GitHub Copilot.
• Own AI-specific threat surface management at program scale: OWASP LLM Top 10 controls, prompt injection hardening, model extraction prevention, adversarial input defenses, and AI supply chain security across concurrent client workstreams.
• Architect and govern AI security controls across the enterprise stack: identity and access for AI systems, data pipeline security, model serving security, and multi-system integration risk across AWS, Azure, or GCP.
• Lead AI governance framework implementation: EU AI Act, NIST AI RMF, and model risk management applied to live production systems, not theoretical exercises.
• Shape AI reinvention security strategy for client CISO/CTO: build risk-adjusted investment cases, security architecture roadmaps, and AI governance operating models aligned to commercial outcomes.
• Define and publish reusable security patterns, playbooks, and accelerators that scale across multiple client engagements and grow the Secure AI practice.
• Lead architecture design sessions, threat modeling workshops, and code-with sessions with client engineering and security leadership teams.
• Travel may be required; travel amount varies 0-100% depending on business need and client requirements.

What We're Looking For

• Minimum of 8 years of engineering experience in production environments with a cybersecurity discipline depth in at least one area: AppSec, SecOps/detection engineering, cloud security, IAM, offensive security/penetration testing, or GRC.
• Minimum 1 year of hands-on experience designing and deploying agentic AI solutions in production environments.
• Minimum 6 years of demonstrated end-to-end security delivery ownership experience in a client-embedded or production environment.
• Minimum 6 years working with Cloud platform security fundamentals across at least one provider (AWS, Azure, or GCP): IAM, network security, secrets management, and AI service security configurations.
• Bachelor's degree or equivalent work experience (12 years total); if an Associate’s Degree, a minimum of 6 years of work experience.
• Proven ability to communicate security risk in business terms and translate threat exposure into risk-adjusted investment rationale suitable for CISOs or CFOs.
• People leadership responsibilities: experience managing, developing, and performance-managing a team of engineers.