Cybersecurity Forward Deployed Engineer - FDE Senior Manager

Accenture seeks a Senior Manager to serve as a Cybersecurity Forward Deployed Engineer, embedded in client environments to secure production AI deployments and govern AI security across the enterprise. This onsite role is based in Arlington, VA, with a salary range of USD 122,700 to 366,300 per year. The position blends hands-on security engineering with architecture leadership and governance, offering the chance to shape Secure AI practices across multiple client engagements, collaborate with client CISO and CTO, and lead teams through delivery.

Benefits

• Medical
• Dental
• Vision
• Life insurance
• Long-term disability coverage
• 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 security design from assessment through 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 cross-system risk in cloud platforms (AWS, Azure, or GCP)
• Lead AI governance framework implementation, aligning with EU AI Act, NIST AI RMF, and model risk management applied to live production systems
• Shape AI reinvention security strategy for client CISO and CTO, building risk-adjusted investment cases, security roadmaps, and AI governance operating models aligned to commercial outcomes
• Define and publish reusable security patterns, playbooks, and accelerators to scale across 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
• Contribute cybersecurity domain expertise in at least one discipline (AppSec, SecOps, IAM, cloud, GRC, or offensive security)
• Support proposal and SOW development, solution shaping, and client commercial engagement
• Facilitate executive workshops and communicate with C-suite and CISO-level stakeholders
• Apply structured analytical thinking and hypothesis-driven problem decomposition
• Provide team leadership, developing and coaching managers and consultants through delivery

Technologies

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

Requirements

• Minimum of 10 years of engineering experience in production environments with depth in at least one cybersecurity discipline (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 production environments; theoretical familiarity does not qualify
• Minimum 8 years of 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 AWS, Azure, or GCP, including 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 communicate security risk in business terms, translating threat exposure into risk-adjusted investment rationale
• People leadership experience with managing, developing, and performance-managing a team of engineers, including setting development plans and conducting career conversations