Secure AI Engineer Manager

Accenture is seeking a Manager-level Secure AI Engineer to deliver Secure AI practice work, lead day-to-day client workstreams, develop security tooling and playbooks, and mentor practitioners across multiple Secure AI disciplines with a focus on Security for AI and AI for Security. This onsite role is based in Atlanta, GA.

Overview

• Location: Atlanta, GA (onsite)
• Salary: USD 87,400 - 293,800 per year
• Minimum experience: 5 years
• Education: Bachelor's degree or equivalent

Responsibilities

• Deliver secure AI engineering solutions that transform enterprise AI adoption while safeguarding AI-enabled operations for clients.
• Architect, provision, and validate prototype and production grade secure AI deployment pipelines, ensuring cohesive interoperability across components.
• Collaborate with project teams, team leaders, delivery managers, and client stakeholders to craft standout AI Security and Governance offerings powered by LLM platforms, frontier-grade models, agentic frameworks, and AI/MCP gateways (examples include Anthropic Claude, OpenAI, and Azure OpenAI).
• Build and sustain strong client relationships and earn the trust of key advisors.
• Present a compelling business case for the most effective secure AI solution tailored to the client’s needs.
• Participate in Accenture sales efforts when required to support opportunity development.
• Continuously expand technical foundations in AI, AI security, emerging technologies, and business implications.

Requirements

• At least 5 years in a cybersecurity discipline with deep expertise in one area such as AppSec, SecOps/detection engineering, IAM, cloud security, offensive security/penetration testing, GRC, or responsible AI.
• At least 1 year of hands-on experience with agentic coding tools (daily use required): Claude Code, Cursor, GitHub Copilot, or Codex.
• At least 1 year of experience with AI architecture fundamentals, including LLMs, agentic systems, A2A, RAG, MLOps pipelines, MCP, AI Gateway, and model serving.
• At least 1 year of experience in AI-specific security: OWASP LLM Top 10, prompt injection, adversarial inputs, and AI supply chain risks.
• At least 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 (minimum 12 years of work experience); for those with 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