This role pays more than
86%
of similar roles. Most pay
$156,550–$240,625
— the shaded band above.
At the midpoint, this role pays about
$249k
versus about
$199k
for comparable roles.
Based on 240 similar postings.
Employer
About Accenture
Accenture is a leading global professional services company specializing in IT, strategy, consulting, and operations, with a strong focus on digital transformation, cloud computing, and artificial intelligence.
Accenture currently has
192 open roles
on FindRole.
Listed pay typically runs
$94,400–$266,300
across 165 roles with salary data.
AI - Cybersecurity Forward Deployed Engineer - FDE Senior Manager serves as a production engineer embedded within client organizations to secure, govern, and harden AI systems in complex environments. Working within an outcome-oriented team, the role involves leading AI security architecture, threat modeling, and the development of detection systems, automated response tools, and governance frameworks for LLM systems, multi-agent pipelines, RAG architectures, and MLOps infrastructure. The position requires extensive experience with agentic coding as a primary delivery method using tools like Claude Code, Cursor, or GitHub Copilot. Key responsibilities include managing OWASP LLM Top 10 controls, prompt injection hardening, and cloud security across AWS, Azure, or GCP platforms. Candidates must possess deep expertise in areas such as AppSec, SecOps, IAM, or offensive security to protect AI supply chains and ensure production-safe deployments.
Lead AI security architecture and threat modeling for production agentic deployments across multi-agent pipelines and MLOps infrastructure.
Build AI-powered detection systems, automated response tools, and governance frameworks using agentic coding tools like Claude Code or Cursor.
Manage AI-specific threats including prompt injection hardening, model extraction prevention, and adversarial input defenses.
Architect and govern security controls for identity, data pipelines, and model serving across AWS, Azure, or GCP platforms.
Implement AI governance frameworks such as the EU AI Act and NIST AI RMF into live production systems.
Develop risk-adjusted investment cases and security architecture roadmaps for client CISO and CTO leadership.
Create reusable security patterns, playbooks, and accelerators to scale across multiple client engagements.
Manage, develop, and coach a team of engineers through performance management and career development.
What we're looking for
Must have a Bachelor's degree or equivalent (minimum 12 years of work experience).
Minimum of 10 years of engineering experience in production environments with depth in a cybersecurity discipline like AppSec, SecOps, cloud security, IAM, offensive security, or GRC.
Minimum 8 years of end-to-end security delivery ownership experience in client-embedded or production environments.
Minimum 8 years of experience with cloud platform security fundamentals across AWS, Azure, or GCP.
Minimum 2 years of hands-on experience designing and deploying agentic AI solutions in a production environment.
Proficiency in using agentic coding tools such as Claude Code, Cursor, or GitHub Copilot as the primary development environment.
Proven ability to communicate security risks in business terms to C-suite and executive leadership.
Experience managing, developing, and performance-managing a team of engineers.
Remote (Atlanta, GA)+430 days ago
$132,500–$338,300
Cybersecurity
LLM
RAG
MLOps
Anthropic Claude
OpenAI
Azure OpenAI
Claude Code
Cursor
GitHub Copilot
Codex
OWASP LLM Top 10
EU AI Act
NIST AI RMF
AppSec
SecOps
IAM
GRC
Offensive Security