Senior AI Security FDE Lead Engineer

Accenture; Morristown (NJ); On-site; USD 141,000 - 366,000; Full time

Job summary

Accenture is seeking a Cybersecurity Forward Deployed Engineer to work embedded with client security and engineering teams, driving secure AI deployments and governance in real environments. You will own outcomes from design to delivery, applying agentic coding practices and building robust security tooling across AI platforms.

Role requires deep production cybersecurity expertise, hands-on AI security experience, and leadership across cross-functional teams.

Qualifications

• 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 year 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 configurations
• Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate's Degree, must have minimum 6 years work experience)

Responsibilities

• Lead AI security architecture and threat modeling for production agentic deployments across complex client environments.
• 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.
• 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.
• 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.
• 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

Skills

AI security

Security architecture

Threat modeling

Cloud security

Security leadership

Communication

Education

Bachelor's degree or equivalent

Job description

Accenture is seeking a Cybersecurity Forward Deployed Engineer to work embedded with client security and engineering teams, driving secure AI deployments and governance in real environments. You will own outcomes from design to delivery, applying agentic coding practices and building robust security tooling across AI platforms.

Role requires deep production cybersecurity expertise, hands-on AI security experience, and leadership across cross-functional teams.