Secure AI Engineer Manager

Accenture; Houston (TX); On-site; USD 140,000 - 230,000; Full time

Job summary

Accenture seeks a Manager in Secure AI to serve as a hands-on delivery lead across AI security disciplines, driving client workstreams and producing high-quality security artifacts. You will work across Secure AI areas, with a focus on Security for AI and AI for Security, leveraging agentic coding tools, building security tooling, and guiding teams.

You will lead workshops, mentor consultants, and help develop assets like playbooks and reusable tools while traveling up to 0–100% to meet client

Qualifications

• Minimum 5 years of total experience in Cybersecurity with depth in at least one area (AppSec, SecOps, IAM, cloud security, etc.).
• Minimum 1 year of hands-on proficiency with agentic coding tools: Claude Code, Cursor, GitHub Copilot, or Codex.
• 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 threat modeling for AI systems (STRIDE, PASTA) applied to LLM deployments.
• Cloud platform security fundamentals certification (AWS, Azure, or GCP).
• Bachelor’s degree or equivalent work experience (12 years); if Associate’s, 6 years.

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 pieces work together seamlessly.
• Work with project teams and client stakeholders to create stand-out AI security and governance offerings powered by LLM platforms and related tech.
• Develop strong relationships with clients and gain the trust of key advisors.
• Make the business case for the most effective secure AI solution to the client.
• Participate in Accenture sales efforts when needed.
• Continuously learn and develop AI security and related skills.

Skills

Cybersecurity experience

Leadership

Client workshops

Communication

Education

Bachelor's degree

Tools

Claude Code

Cursor

GitHub Copilot

Codex

Job description

We Are

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.

You Are

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.

The Work (Role Responsibility):

• 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

Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements.

Here’s What You Need

• 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)

Bonus Points if You Have

• 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

Compensation at Accenture

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. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below. We anticipate this job posting will be posted until 08/21/2026. Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long‑term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. See more information on our benefits here:

U.S. Employee Benefits | Accenture (https://www.accenture.com/us-en/careers/local/benefits)

Role Location Annual Salary Range

California $94,400 to $293,800 Cleveland $87,400 to $235,000 Colorado $94,400 to $253,800 District of Columbia $100,500 to $270,300 Illinois $87,400 to $253,800 Maine $80,400 to $216,200 Maryland $94,400 to $253,800 Massachusetts $94,400 to $270,300 Minnesota $94,400 to $253,800 New York $87,400 to $293,800 New Jersey $100,500 to $293,800 Virginia $87,400 to $270,300 Washington $100,500 to $270,300

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