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19d ago

Cybersecurity Forward Deployed Engineer - FDE Senior Manager

Accenture Arlington, VA

Arlington, VA

19d ago

$123k - $366k/yr Full time Manager Agent Ai Security

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Job Description

Accenture is seeking a Senior Manager for Cybersecurity Forward Deployed Engineering to be embedded in client environments in Arlington, VA. The role focuses on securing production AI deployments and governing AI security across the enterprise, leading AI security architecture, threat modeling, and tooling development through agentic coding. Salary range is USD 122,700 to 366,300 per year, with onsite presence in Arlington, VA.

Responsibilities

Oversee AI security architecture and threat modeling for production agentic deployments in complex, multi-stakeholder client environments, covering LLM systems, multi-agent pipelines, RAG architectures, and MLOps infrastructure; accountable for end-to-end security design from assessment to hardened deployment
Execute 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 with Claude Code, Cursor, or GitHub Copilot in daily delivery
Manage AI specific threat surfaces at program scale, including 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, encompassing identity and access for AI systems, data pipeline security, model serving security, and cross-system integration risk across AWS, Azure, or GCP
Drive AI governance framework implementation, applying EU AI Act, NIST AI RMF, and model risk management to live production systems
Shape AI security strategy for client CISOs and CTOs, developing risk-adjusted investment cases, security architecture roadmaps, and AI governance operating models aligned with 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
Demonstrate cybersecurity domain expertise in at least one discipline such as AppSec, SecOps, IAM, cloud, GRC, or offensive security
Contribute to proposal and 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
Provide team leadership by developing and coaching managers and consultants through delivery

Requirements

Minimum of 10 years of engineering experience in production environments with deep expertise in at least one cybersecurity field such as AppSec, SecOps / detection engineering, cloud security, IAM, offensive security / penetration testing, or GRC
At least two years of hands-on experience designing and deploying agentic AI solutions in production; theoretical familiarity is not sufficient
Eight 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
Eight years of experience with cloud platform security fundamentals on at least one provider (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 holding an Associate’s Degree, a minimum of 6 years of work experience is required
Proven ability to translate security risk into business terms and present risk-adjusted investment rationale to CISOs or CFOs
Experience in people leadership, including managing, developing, and performance-managing a team of engineers; ability to conduct development discussions

Technologies

Claude Code
Cursor
GitHub Copilot
AWS
Azure
GCP

Benefits

Medical
Dental
Vision
Life insurance
Long-term disability coverage
401(k) plan
Bonus opportunities
Paid holidays
Paid time off

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