Cybersecurity Forward Deployed Engineer - FDE Senior Manager

Accenture invites experienced cybersecurity leaders to join as a Forward Deployed Engineer, FDE Senior Manager. This onsite role in Morristown, New Jersey offers a competitive salary range of USD 122,700 to 366,300 per year, plus a comprehensive benefits package and a path to shape AI security governance across client environments. You will engage with client CISOs and CTOs to turn security insights into tangible, risk-adjusted investments and actionable roadmaps for production AI deployments.

Benefits

• medical, dental, vision, life, and long-term disability coverage
• a 401(k) plan
• bonus opportunities
• paid holidays
• paid time off

Responsibilities

• Lead AI security architecture and threat modeling for production agentic deployments across complex client environments, including LLM systems, multi-agent pipelines, RAG architectures, and MLOps infrastructure, owning the security design from assessment to hardened deployment
• Deliver hands-on security engineering using agentic coding tools as the primary build environment, building 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 program scale, covering 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, including 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, applying EU AI Act, NIST AI RMF, and model risk management to live production systems
• Shape AI reinvention security strategy for client CISO and CTO, building 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 to 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
• Demonstrate cybersecurity domain expertise in at least one discipline such as AppSec, SecOps, IAM, cloud, GRC, or offensive security
• Contribute to proposals, SOW development, solution shaping, and client commercial engagement
• Facilitate executive workshops and communicate effectively with C-suite and CISO level stakeholders
• Apply structured analytical thinking and hypothesis driven problem decomposition in delivery
• Lead and coach a team of engineers, guiding development and performance conversations

Technologies

• Claude Code
• Cursor
• GitHub Copilot

Requirements

• Minimum 10 years of engineering experience in production environments with a cybersecurity discipline depth in at least one area such as AppSec, SecOps / detection engineering, cloud security, IAM, offensive security / penetration testing, or GRC
• Minimum 2 years hands-on experience designing and deploying agentic AI solutions in production environments
• Minimum 8 years of end-to-end security delivery ownership experience in a client embedded or production setting
• 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 work experience (minimum 12 years); if an Associate's Degree, a minimum of 6 years of work experience
• Proven ability to translate security risk into business terms and risk adjusted investment rationale for CISO or CFO decision making
• Experience leading, developing, and performance managing a team of engineers; setting development plans and conducting career conversations