Secure AI Engineer 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

We are currently looking for professionals for our Secure, Responsible AI & Data Protection practice with extensive experience in the following:

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 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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