Secure AI Architect Senior Manager/Assoc Director

About the role

We Are Secure, Responsible AI & Data Protection professionals who enable trust, resilience, and compliance across the AI lifecycle and data estate; including securing AI systems and agents against emerging threats like prompt injection, model manipulation, and unauthorized agent actions, applying AI to strengthen cyber defense through faster detection, triage, and response, and protecting sensitive data through classification, data loss prevention, and governed access, so that enterprises can adopt AI and agentic capabilities confidently while safeguarding data and meeting their regulatory obligations.

Responsibilities

• Cybersecurity Secure AI solutions that transform clients’ Enterprise AI adoption and secure their AI-enabled operations
• Design, set-up, and test prototype and production secure AI deployment solutions and ensure that all the pieces work together seamlessly
• Work with the project team, team leaders, project delivery leads, and client stakeholders to create stand-out [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)]
• Build strong client relationships and partner with organizations to reimagine their business through innovation
• Collaborate across diverse communities—including domain experts, engineers, and designers
• Propose and SOW development, solution shaping, and client commercial engagement
• Executive workshop facilitation and C-suite / CISO-level communication
• Structured analytical thinking and hypothesis-driven problem decomposition
• Team leadership: developing and coaching managers and consultants through delivery

Requirements

• Minimum 8 years of experience in Cybersecurity with domain expertise in at least one discipline (AppSec, SecOps, IAM, cloud, GRC, or offensive security)
• Minimum 1 year of experience in at least one Secure AI domain: AI security architecture, adversarial AI, or cloud/infrastructure security for AIM
• Minimum 1 year of experience in Agentic coding fluency: Claude Code, Cursor, GitHub Copilot, or Codex — used in daily delivery practice
• Minimum 1 year of experience in AI architecture: LLM deployment patterns, agentic/multi-agent systems, RAG pipelines, MLOps, A2A, AI Gateways, MCP Gateways
• Minimum 1 year of experience in AI-specific security: OWASP LLM Top 10, prompt injection, model extraction, supply chain attacks
• Minimum 1 year of experience with AI governance frameworks: EU AI Act, NIST AI RMF, model risk management
• Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate’s Degree, must have minimum 6 years work experience)

Qualifications

• Experience leading client-facing engagements from scoping through delivery
• Ability to take initiative to communicate, interact, and collaborate with others to ensure that all aspects of a task are addressed
• Travel may be required for this role. The amount of travel will vary from 75% to 100% depending on business need and client requirements

Skills

• Structured analytical thinking and hypothesis-driven problem decomposition
• Team leadership: developing and coaching managers and consultants through delivery

Benefits

• Market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage
• 401(k) plan
• Bonus opportunities
• Paid holidays
• Paid time off

Pay

Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience.

Schedule

Not specified