Lead Secure AI Engineering Manager

Accenture; Walnut Creek (CA); On-site; USD 87,000 - 294,000; Full time

Benefits offered by this job

Medical, dental, vision, life, andlong

term disability coverage

401(k) plan

Bonus opportunities

Paid holidays

Paid time off

Job summary

Accenture is seeking a Secure AI Engineer Manager in Walnut Creek to lead delivery, security tooling, and practitioner development within the Secure AI practice. The role blends hands-on coding with client engagement, focusing on advancing AI security and AI for security while operating onsite in California.

The position requires a Bachelor’s degree and at least five years of cybersecurity experience, with proficiency in agentic coding tools and AI architecture fundamentals.

Qualifications

• Bachelor’s degree or equivalent work experience (12+ years); if holding an Associate’s Degree, a minimum of 6 years of work experience is required.
• At least five years of total cybersecurity experience with depth in at least one area: AppSec, SecOps / detection engineering, IAM, cloud security, offensive security / penetration testing, GRC, or responsible AI.
• At least one year of hands‑on experience with agentic coding tools: Claude Code, Cursor, GitHub Copilot, or Codex, with daily use.
• At least one year of experience with AI architecture fundamentals: LLMs, agentic systems, A2A, RAG, MLOps pipelines, MCP, AI Gateway, model serving.
• At least one year of experience in AI‑specific security: OWASP LLM Top 10, prompt injection, adversarial inputs, AI supply chain risks.

Responsibilities

• Deliver cybersecurity solutions for Secure AI to advance enterprise AI adoption and secure AI-enabled operations.
• Design, configure, and test prototype and production secure AI deployment solutions, ensuring end-to-end interoperability.
• Collaborate with project teams, team leaders, delivery leads, and client stakeholders to create AI Security and Governance offerings leveraging LLM platforms, frontier-grade models, agentic architectures, and AI/MCP gateways.
• Build strong client relationships and earn trust of key advisors.
• Develop the business case for the most effective and appropriate secure AI solution for the client.
• Contribute to Accenture sales efforts when required.
• Pursue ongoing learning in foundational AI, AI security, emerging technologies, and business acumen.

Skills

Secure AI

Cybersecurity

Agentic coding tools

AI architecture fundamentals

AI security

Threat modeling

Cloud security

GRC

Education

Bachelor’s degree or equivalent work experience

Tools

Claude Code

Cursor

GitHub Copilot

Codex

Anthropic Claude

OpenAI

Azure OpenAI

AWS

Azure

GCP

Job description

Accenture is seeking a Secure AI Engineer Manager in Walnut Creek to lead delivery, security tooling, and practitioner development within the Secure AI practice. The role blends hands-on coding with client engagement, focusing on advancing AI security and AI for security while operating onsite in California.

The position requires a Bachelor’s degree and at least five years of cybersecurity experience, with proficiency in agentic coding tools and AI architecture fundamentals.