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Accenture

Secure AI Engineer Manager

Accenture
Atlanta, GA $87k - $294k/yr Full time Posted 1d ago
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 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

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