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Closed on August 24, 2026.
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Secure AI Engineer Manager
Manager
Ai Security
Artificial Intelligence
Azure Openai
Cloud Security Architecture
Data Security
DevSecOps
Engineering
Management
Project Management
Risk Management
Security
Security Compliance
Security Operations
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Job Description
Accenture is seeking a Secure AI Engineer Manager for onsite work in Atlanta, GA, with a salary range of USD 87,400 to 293,800 per year.
Responsibilities
- Deliver cybersecurity focused secure AI solutions that enhance enterprise AI adoption while safeguarding AI-enabled operations.
- Design, set up, and test prototype and production secure AI deployment solutions, ensuring smooth integration of all components.
- Collaborate with project teams, team leads, delivery leads, and client stakeholders to create standout AI Security and Governance offerings powered by LLM platforms, frontier-grade models, agentic frameworks, and AI/MCP gateways, including Anthropic Claude, OpenAI, and Azure OpenAI.
- Build strong client relationships and earn the trust of key advisors.
- Present the business case for the most effective secure AI solution recommended to the client.
- Contribute to Accenture sales efforts when needed.
- Continue to develop foundational AI, AI security, emerging technologies, and business expertise.
Requirements
- Minimum 5 years of total experience in cybersecurity with depth in at least one area such as AppSec, SecOps/detection engineering, IAM, cloud security, offensive security/penetration testing, GRC, or responsible AI.
- Minimum 1 year of hands-on experience with agentic coding tools such as Claude Code, Cursor, GitHub Copilot, or Codex, with active daily use.
- Minimum 1 year of experience in AI architecture fundamentals, including LLMs, agentic systems, A2A, RAG, MLOps pipelines, MCP, AI Gateway, and model serving.
- Minimum 1 year of experience in AI specific security topics, including OWASP LLM Top 10, prompt injection, adversarial inputs, and AI supply chain risks.
- Minimum 1 year of experience in threat modeling for AI systems (STRIDE, PASTA, or equivalent) applied to LLM deployments and agentic pipelines.
- Cloud platform security fundamentals certification (AWS, Azure, or GCP).
- 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.
Technologies
- Anthropic Claude
- OpenAI
- Azure OpenAI
- Claude Code
- Cursor
- GitHub Copilot
- Codex
Benefits
- Medical coverage
- Dental coverage
- Vision coverage
- Life insurance
- Long-term disability coverage
- 401(k) plan
- Bonus opportunities
- Paid holidays
- Paid time off
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