Secure AI Engineer Manager

Accenture•Atlanta, GA

2d•Hybrid

About The Position

We are a global collective of innovators applying the New every day to improve the way the world works and lives. Help us show the world what’s possible as you partner with clients to unlock hidden value and deliver innovative solutions. Empowered with innovative tools, continuous learning, and a global community of diverse talent and perspectives, we drive success in a new business architecture that disrupts conventional practices. Our expertise spans 40+ industries across 120+ countries and impacts millions of lives every day. We turn ideas into reality. 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. We are currently looking for professionals for our Secure, Responsible AI & Data Protection practice with extensive experience in the following: Managers are the hands-on delivery engine of the Secure AI practice. They lead day-to-day execution of client workstreams with a high degree of independence, produce the technical work product that defines Accenture's quality, and develop consultants into capable practitioners. Each Manager hire will be expected to operate across multiple Secure AI disciplines, with a focus on Security for AI and AI for Security, while operating from a shared technical foundation. Managers are expected to be deeply productive with agentic coding tools, build and run security tooling, facilitate client workshops, manage small teams, and contribute to practice-building assets including playbooks, reusable tools, and training materials.

Requirements

Minimum 5 years of total experience in Cybersecurity discipline 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 experience 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) work experience. (If Associate’s Degree, must have minimum 6 years work experience)

Nice To Haves

Technical delivery leadership: producing and reviewing security assessments, architecture designs, tooling, and written findings
Build strong client relationships and partner with organizations to reimagine their business through innovation
Collaborate across diverse communities—including domain experts, engineers, and designers
Clear communication of technical findings to director-level client stakeholders
Structured problem decomposition and methodical troubleshooting
Mentoring and developing consultant-level practitioners through delivery
Proven success in contributing to a team-oriented environment
Proven ability to work creatively and analytically in a problem-solving environment
Desire to work in an environment fostering teaming
Excellent leadership, communication (written and oral), and interpersonal skills

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
Develop strong relationships with clients and gain the trust of key advisors
Make the business case for the most effective and appropriate secure AI solution recommended to the client
Pitch in on Accenture sales efforts when needed
Continue to learn and develop your technical foundational AI, AI security, emerging technology and business expertise