Cybersecurity Forward Deployed Engineer - FDE Senior Manager

Accenture is seeking a Senior Manager level Cybersecurity Forward Deployed Engineer located onsite in New York, NY, with a compensation range of USD 122,700 to 366,300 per year.

Responsibilities

• Direct AI security architecture and threat modeling for production, agentic deployments across complex multi-stakeholder environments, including LLM systems, multi-agent pipelines, RAG architectures, and MLOps infrastructure; own the end-to-end security design from assessment to hardened deployment.
• Perform hands-on security engineering using agentic coding tools as the primary build environment: create 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.
• Manage AI-specific threat surface at program scale: implement 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 cross-system risk integration across cloud platforms (AWS, Azure, or GCP).
• Lead AI governance framework implementations: align with EU AI Act, NIST AI RMF, and model risk management applied to live production systems rather than theoretical compliance.
• Shape AI reinvention security strategy for client CISO and CTO: develop risk-adjusted investment cases, security architecture roadmaps, and AI governance operating models aligned to business 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 (AppSec, SecOps, IAM, cloud, GRC, or offensive security).
• Support proposals and SOW development, solution shaping, and client commercial engagements.
• Facilitate executive workshops and provide C-suite / CISO-level communication.
• Apply structured analytical thinking and hypothesis-driven problem decomposition.
• Lead teams: develop, coach, and performance-manage managers and consultants through delivery.

Requirements

• Minimum 10 years of engineering experience in production environments with depth in at least one cybersecurity discipline: AppSec, SecOps/detection, cloud security, IAM, offensive security/penetration testing, or GRC.
• Minimum 2 years of hands-on experience designing and deploying agentic AI solutions in production; theoretical familiarity does not qualify.
• Minimum 8 years of demonstrated end-to-end security delivery ownership 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 AWS, Azure, or GCP: IAM, network security, secrets management, and AI service security configurations.
• Bachelor's degree or equivalent work experience (minimum 12 years total). If holding an Associate’s degree, a minimum of 6 years of work experience is required.
• Proven ability to communicate security risk in business terms, translating threat exposure into risk-adjusted investment rationale suitable for a CISO or CFO.
• Experience leading people: managing, developing, and performance-managing a team of engineers; setting individual development plans and conducting career conversations.

Technologies

• Claude Code
• Cursor
• GitHub Copilot
• AWS
• Azure
• GCP

Benefits

• Medical, dental, vision, life, and long-term disability coverage
• 401(k) plan
• Bonus opportunities
• Paid holidays
• Paid time off