below marketmost similar roles pay hereabove market
This role pays more than
72%
of similar roles. Most pay
$164,912–$235,750
— the blue band above.
At the midpoint, this role pays about
$235k
versus about
$200k
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
174 open roles
on FindRole.
Listed pay typically runs
$94,400–$266,300
across 128 roles with salary data.
The Secure AI Architect Senior Manager serves as the delivery and client leadership layer of the Secure AI practice. This role involves owning workstreams or full engagement programs, acting as a trusted advisor to senior stakeholders, and translating complex security concepts into business-relevant narratives. Key responsibilities include designing, setting up, and testing prototype and production secure AI deployment solutions while developing AI security and governance offerings. The position requires expertise in LLM platforms, frontier grade models, agentic frameworks, and AI/MCP gateways like Anthropic Claude, OpenAI, and Azure OpenAI. Candidates must demonstrate proficiency in RAG pipelines, MLOps, and specific threats like prompt injection or model extraction. The work focuses on securing AI systems against emerging threats and ensuring compliance with frameworks like the EU AI Act and NIST AI RMF.
Design, set up, and test prototype and production secure AI deployment solutions.
Own workstreams or full engagement programs as a trusted advisor to senior client stakeholders.
Translate complex AI security concepts into clear, business-relevant narratives for C-suite audiences.
Drive sales opportunities from RFP/RFI to proposals and Statements of Work.
Develop and coach manager-level teams through project delivery and engagement.
Create AI security and governance offerings powered by LLM platforms and agentic frameworks.
Contribute to the development of Secure AI services and technical assets or accelerators.
Protect sensitive data through classification, data loss prevention, and governed access.
What we're looking for
Must have 8 years of experience in Cybersecurity with domain expertise in AppSec, SecOps, IAM, cloud, GRC, or offensive security.
Must have 1 year of experience in at least one Secure AI domain, such as AI security architecture, adversarial AI, or cloud/infrastructure security for AI.
Must have 1 year of experience in Agentic coding fluency using tools like Claude Code, Cursor, GitHub Copilot, or Codex.
Must have 1 year of experience in AI architecture, including LLM deployment patterns, agentic systems, RAG pipelines, MLOps, and AI Gateways.
Must have 1 year of experience in AI-specific security, including OWASP LLM Top 10, prompt injection, model extraction, and supply chain attacks.
Must have 1 year of experience with AI governance frameworks such as the EU AI Act, NIST AI RMF, or model risk management.
Must possess a Bachelor's degree or equivalent (minimum 12 years work experience).
AI Security
Agentic Coding
Claude Code
Cursor
GitHub Copilot
LLM
RAG
MLOps
AWS
Azure
GCP
IAM
OWASP LLM Top 10
Threat Modeling
AppSec
SecOps
Cloud Security
NIST AI RMF
EU AI Act
AI Security
Agentic Coding
Claude Code
Cursor
GitHub Copilot
LLM
RAG
MLOps
AWS
Azure
GCP
OWASP LLM Top 10
IAM
AppSec
SecOps
Threat Modeling
NIST AI RMF
EU AI Act
Prompt Injection Hardening
Data Pipeline Security
AI Security
Agentic AI
Python
TypeScript
Go
LLMOps
APIs
Event-driven Architecture
DevSecOps
Model Context Protocol (MCP)
OWASP Top 10 for LLM Applications
Cloud Platforms
Distributed Systems
Observability
Threat Modeling