Cybersecurity Forward Deployed Engineer - FDE Senior Manager

Job title: Cybersecurity Forward Deployed Engineer - FDE Senior Manager

About the Role Accenture Cybersecurity Forward Deployed Engineer (FDE) Senior Manager is a production engineering role embedded inside a client’s enterprise to make AI systems secure, governed, and resilient in real-world environments. This is not a security consulting or compliance advisory position; you own outcomes and deliver security through agentic coding and hands-on tooling within a client delivery team.

What You'll Do

• Lead AI security architecture and threat modeling for production agentic deployments across complex multi-stakeholder client environments—LLM systems, multi-agent pipelines, RAG architectures, and MLOps infrastructure—owning the full security design from assessment through hardened deployment
• Deliver hands-on security engineering using agentic coding tools as the primary build environment: build AI-powered detection systems, automated threat response tooling, security assessment frameworks, and governance automation using Claude Code, Cursor, or GitHub Copilot in daily delivery practice
• Own AI-specific threat surface management at programme scale: OWASP LLM Top 10 controls, prompt injection hardening, model extraction prevention, adversarial input defences, 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 cloud platforms (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 compliance exercises
• Shape AI reinvention security strategy for client CISO and 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
• Cybersecurity domain expertise in at least one discipline (AppSec, SecOps, IAM, cloud, GRC, or offensive security)
• Proposal and SOW development, solution shaping, and client commercial engagement
• Executive workshop facilitation and C-suite / CISO-level communication
• Structured analytical thinking and hypothesis-driven problem decomposition
• Team leadership: developing and coaching managers and consultants through delivery
• Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements.

What We're Looking For

• Minimum of 10 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 2 years of hands-on experience designing and deploying agentic AI solutions in a production environment—non-negotiable; theoretical familiarity does not qualify
• Minimum 8 years of demonstrated end-to-end security delivery ownership experience in a client-embedded or production environment; internal advisory or compliance-only roles do not qualify
• Minimum 8 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 configuration