Secure AI Engineer Manager
Job Description
Onsite in Scottsdale, this Secure AI Engineer Manager leads the delivery of secure AI client workstreams, builds security tooling, and develops practice assets with a dual focus on Security for AI and AI for Security across large language model platforms. The role includes mentoring teams, shaping governance offerings, and collaborating with clients to advance secure AI adoption and guarded AI-enabled operations.
Responsibilities
- Deliver cybersecurity focused Secure AI solutions that transform how clients adopt Enterprise AI and secure their AI-enabled operations
- Design, set up, and test prototype and production secure AI deployment solutions, ensuring all components work together seamlessly
- Collaborate with the project team, team leaders, project 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 (Anthropic Claude, OpenAI, Azure OpenAI as representative examples)
- Develop strong client relationships and earn the trust of key advisors
- Make the business case for the most effective and appropriate secure AI solution recommended to the client
- Contribute to Accenture sales efforts when needed
- Continue to learn and develop technical AI foundations, AI security, emerging technology, and business expertise
- Travel may be required; the amount of travel varies based on business needs and client requirements
Requirements
- Minimum 5 years of total experience in cybersecurity with depth in at least one area: AppSec, SecOps/detection engineering, IAM, cloud security, offensive security/penetration testing, GRC, or responsible AI
- Minimum 1 year of hands-on proficiency with agentic coding tools: Claude Code, Cursor, GitHub Copilot, or Codex; active daily use required
- Minimum 1 year of experience with AI architecture fundamentals: LLMs, agentic systems, A2A, RAG, MLOps pipelines, MCP, AI Gateway, model serving
- Minimum 1 year of experience in AI-specific security: OWASP LLM Top 10, prompt injection, adversarial inputs, 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 (minimum 12 years) of work experience; if Associate’s Degree, a minimum of 6 years of work experience
Technologies
- Claude Code, Cursor, GitHub Copilot, Codex
- Anthropic Claude, OpenAI, Azure OpenAI
- AI Gateway, MCP
- AWS, Azure, GCP
- LLMs
Benefits
- Medical, dental, vision, life, and long-term disability coverage
- 401(k) plan
- Bonus opportunities
- Paid holidays
- Paid time off
Accommodation
Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.
If you would like to be considered for opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call toll free at 1 (877) 889-9009, email, or speak with your recruiter.
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Other Employment Statements
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