Accenture’s Secure AI practice is seeking a Manager to lead delivery, security tooling, and practitioner development across AI security and AI for security, bringing hands-on coding into high-visibility client engagements. This on-site role in Walnut Creek, CA combines technical leadership with strategic collaboration to advance secure AI adoption in enterprise environments, with a salary range of USD 87,400 to 293,800 per year.
Responsibilities
- Lead cybersecurity Secure AI initiatives that transform how clients adopt Enterprise AI while securing AI-enabled operations.
- Design, set up, and test prototype and production secure AI deployment solutions and ensure all components work together seamlessly.
- Collaborate with the project team, team leaders, delivery leads, and client stakeholders to craft standout AI Security and Governance offerings driven by LLM platforms, frontier-grade models, agentic frameworks, and AI/MCP gateways (examples include Anthropic Claude, OpenAI, and Azure OpenAI).
- Develop strong relationships with clients and earn the trust of key advisors.
- Make the business case for the most effective secure AI solution recommended to the client.
- Contribute to Accenture sales efforts when needed.
- Continue to learn and expand technical AI, AI security, emerging technology, and business expertise.
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 experience with agentic coding tools: Claude Code, Cursor, GitHub Copilot, or Codex, with active daily use.
- Minimum 1 year of experience with AI architecture fundamentals: LLMs, agentic systems, A2A, RAG, MLOps pipelines, MCP, AI Gateway, and 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 work experience (minimum 12 years). If holding an Associate’s Degree, a minimum of 6 years of work experience is required.
Technologies
- Claude Code
- Cursor
- GitHub Copilot
- Codex
- Anthropic Claude
- OpenAI
- Azure OpenAI
- AWS
- Azure
- GCP
Benefits
- Medical, dental, vision, life, and long-term disability coverage
- 401(k) plan
- Bonus opportunities
- Paid holidays
- Paid time off
We Are
Accenture is a global collective of innovators applying the New every day to improve how the world works and lives. In our Secure, Responsible AI and Data Protection practice, we enable trust, resilience, and compliance across the AI lifecycle and data estate by securing AI systems and agents against emerging threats, while applying AI to strengthen cyber defense and safeguard sensitive information. We seek professionals with extensive experience in Secure, Responsible AI and Data Protection to join our team.
Accommodations
Accenture is committed to equal employment opportunities and provides reasonable accommodations for qualified individuals with disabilities or religious observances during the recruitment process and, if hired, in the role. To request accommodations, contact 1 (877) 889-9009 or speak with your recruiter.
Equal Employment Opportunity
We prohibit discrimination based on age, race, creed, color, religion, sex, national origin, disability, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status, or any other basis protected by applicable law. Our diversity strengthens our innovation and competitiveness.
Other Employment Statements
Applicants in the United States must have work authorization that does not require visa sponsorship now or in the future. Some roles may have restrictions related to current employment with a client or affiliated Accenture entity. Disclosure of pay history is not required and will not affect hiring decisions, and California residents should review location-specific notices where applicable.
