This role pays more than
59%
of similar roles. Most pay
$154,200–$219,812
— the shaded band above.
At the midpoint, this role pays about
$194k
versus about
$187k
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.
The Secure AI Engineer Manager joins the Secure, Responsible AI & Data Protection practice as a hands-on delivery engine for client workstreams. This role involves designing, testing, and deploying secure AI solutions while managing small teams and developing junior practitioners. You will build security tooling, facilitate workshops, and contribute to playbooks and training materials. The position requires proficiency with agentic coding tools like Claude Code, Cursor, or GitHub Copilot, alongside expertise in LLMs, RAG, MLOps pipelines, and MCP. Key technical skills include identifying prompt injection risks, threat modeling using STRIDE or PASTA, and managing AI Gateway integrations for platforms like Anthropic Claude and Azure OpenAI. The role addresses the critical challenge of securing enterprise AI systems against manipulation while ensuring data protection and regulatory compliance across the entire AI lifecycle and data estate.
Design, set up, and test prototype and production secure AI deployment solutions for enterprise clients.
Secure AI systems against threats such as prompt injection, model manipulation, and unauthorized actions.
Build and run security tooling while utilizing agentic coding tools like Claude Code or GitHub Copilot.
Develop technical work products including security assessments, architecture designs, and detailed findings.
Create practice-building assets such as playbooks, reusable tools, and training materials for the team.
Lead day-to-day execution of client workstreams and manage small teams to deliver high-quality results.
Mentor and develop junior consultants into capable practitioners in AI security and data protection.
Communicate technical findings clearly to director-level stakeholders to build trust and advocate for secure solutions.
What we're looking for
Minimum 5 years of experience in Cybersecurity with depth in areas like AppSec, SecOps, IAM, cloud security, offensive security, GRC, or responsible AI.
Minimum 1 year of hands-on proficiency with agentic coding tools such as Claude Code, Cursor, GitHub Copilot, or Codex.
Minimum 1 year of experience with AI architecture fundamentals including LLMs, agentic systems, RAG, MLOps pipelines, and AI Gateways.
Minimum 1 year of experience in AI-specific security, including OWASP LLM Top 10 and prompt injection.
Minimum 1 year of experience in threat modeling for AI systems using STRIDE, PASTA, or equivalent frameworks.
A cloud platform security fundamentals certification from AWS, Azure, or GCP is required.
A Bachelor's degree is required, or an Associate's degree with at least 6 years of work experience.
Technical delivery leadership and mentoring of junior practitioners are preferred.
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