Lead Secure AI Engineering Manager

Accenture; Hartford (CT); On-site; USD 120,000 - 210,000; Full time

Job summary

Accenture is seeking a Manager for the Secure, Responsible AI & Data Protection practice, with deep cybersecurity expertise and hands-on experience in AI tooling. You will lead day-to-day client workstreams, design secure AI deployment solutions, and drive security playbooks and training assets.

You will collaborate across teams, mentor consultants, and help shape governance offerings across LLM platforms, AI gateway models, and secure AI pipelines. Travel up to 0-100% may be required.

Qualifications

• 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 hands-on proficiency with agentic coding tools: Claude Code, Cursor, GitHub Copilot, or Codex — active daily use
• 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)

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
• 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

Skills

Cybersecurity

AI tooling experience

AI architecture fundamentals

AI security

Threat modeling (STRIDE/PASTA)

Cloud security certification

Education

Bachelor’s degree or equivalent

Tools

Claude Code

Cursor

GitHub Copilot

Codex

Job description

Accenture is seeking a Manager for the Secure, Responsible AI & Data Protection practice, with deep cybersecurity expertise and hands-on experience in AI tooling. You will lead day-to-day client workstreams, design secure AI deployment solutions, and drive security playbooks and training assets.

You will collaborate across teams, mentor consultants, and help shape governance offerings across LLM platforms, AI gateway models, and secure AI pipelines. Travel up to 0-100% may be required.