Secure AI Architect Senior Manager

Accenture PLC; New York (NY); On-site; USD 123,000 - 338,000; Full time

Benefits offered by this job

Medical, dental, vision

401(k) plan

Paid holidays and PTO

Job summary

Accenture is seeking a Senior Manager to lead Secure AI engagements, owning workstreams and driving client value across AI security, governance, and deployment. You will translate complex AI security concepts for executives, shape offerings, and contribute to staffing plans.

Travel may be substantial, reflecting client needs and project scope. You will mentor teams, pursue RFPs, and supervise delivery to align with Accenture's standards while advancing Secure AI capabilities and accelerators.

Qualifications

• Minimum 8 years of experience in Cybersecurity with domain expertise in at least one discipline (AppSec, SecOps, IAM, cloud, GRC, or offensive security)
• Minimum 1 year of experience in at least one Secure AI domain: AI security architecture, adversarial AI, or cloud/infrastructure security for AI
• Minimum 1 year of experience in Agentic coding fluency: Claude Code, Cursor, GitHub Copilot, or Codex — used in daily delivery practice
• Minimum 1 year of experience in AI architecture: LLM deployment patterns, agentic/multi‑agent systems, RAG pipelines, MLOps, A2A, AI Gateways, MCP Gateways
• Minimum 1 year of experience in AI‑specific security: OWASP LLM Top 10, prompt injection, model extraction, supply chain attacks
• Minimum 1 year of experience with AI governance frameworks: EU AI Act, NIST AI RMF, model risk management
• 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 and other frontier technologies
• 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 and business expertise in AI security and governance
• Deliver services that meet Accenture Project quality specifications
• Ability to take initiative to communicate, interact, and collaborate with others to ensure that all aspects of a task are addressed

Skills

Cybersecurity

AI security

Secure AI domain

Agentic coding fluency

LLM deployment

AI governance

Education

Bachelor's degree or equivalent

Tools

Claude Code

Cursor

GitHub Copilot

Codex

LLM platforms

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.

Accenture Cybersecurity helps organizations prepare, protect, detect, respond and recover along all points of the security lifecycle. Cybersecurity challenges are different for every business in every industry. Leveraging our global resources and advanced technologies, we create integrated, turnkey solutions tailored to our clients’ needs across their entire value chain. Whether we’re defending against known cyberattacks, detecting and responding to the unknown, or running an entire security operations center, we will help companies build cyber resilience to grow with confidence.

You Are

You are the delivery and client leadership layer of the Secure AI practice. You own workstreams or full engagement programs, bring specialized depth in one or more Secure AI domains, and operate as trusted advisors to senior client stakeholders. Each Senior Manager is expected to engage credibly across adjacent AI areas and should be able to drive sales opportunities from RFP/RFI to proposals and Statements of Work / staffing plans. Experienced leading client-facing engagements from scoping through delivery, develop and coach manager-level teams, contribute to pursuit activity, and maintain frontier expertise that keeps Accenture’s methods current and differentiated. They translate complex AI security concepts into clear, business-relevant narratives for director and C-suite audiences. Contribute to the offering development of Secure AI services and asset / accelerator development to differentiate Accenture Cyber Security.

The Work (Key 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 related business expertise
• Deliver services that meet Accenture Project quality specifications
• Ability to take initiative to communicate, interact, and collaborate with others to ensure that all aspects of a task are addressed

Travel may be required for this role. The amount of travel will vary from 75% to 100% depending on business need and client requirements.

Here’s What You Need

• Minimum 8 years of experience in Cybersecurity with domain expertise in at least one discipline (AppSec, SecOps, IAM, cloud, GRC, or offensive security)
• Minimum 1 year of experience in at least one Secure AI domain: AI security architecture, adversarial AI, or cloud/infrastructure security for AI
• Minimum 1 year of experience in Agentic coding fluency: Claude Code, Cursor, GitHub Copilot, or Codex — used in daily delivery practice
• Minimum 1 year of experience in AI architecture: LLM deployment patterns, agentic/multi‑agent systems, RAG pipelines, MLOps, A2A, AI Gateways, MCP Gateways
• Minimum 1 year of experience in AI‑specific security: OWASP LLM Top 10, prompt injection, model extraction, supply chain attacks
• Minimum 1 year of experience with AI governance frameworks: EU AI Act, NIST AI RMF, model risk management
• 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

• Build strong client relationships and partner with organizations to reimagine their business through innovation
• Collaborate across diverse communities—including domain experts, engineers, and designers
• Proposal and SOW development, solution shaping, and client commercial engagement
• Executive workshop facilitation and C-suite / CISO-level communication
• Structured analytical thinking and hypothesis‑driven problem decomposition
• Team leadership: developing and coaching managers and consultants through delivery

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 12/07/2026. 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.

U.S. Employee Benefits | Accenture

Benefits include medical, dental, vision, life, and long‑term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off.

Annual Salary Ranges by Location

• California $132,500 to $338,300
• Colorado $132,500 to $292,200
• Connecticut $132,500 to $292,200
• District of Columbia $141,100 to $311,200
• Illinois $122,700 to $292,200
• Maine $112,900 to $249,000
• Maryland $132,500 to $292,200
• Massachusetts $132,500 to $311,200
• Minnesota $132,500 to $292,200
• New York $122,700 to $338,300
• New Jersey $141,100 to $338,300
• Ohio $122,700 to $270,600
• Virginia $122,700 to $311,200
• Washington $141,100 to $311,200

Service / Delivery Locations

• Arlington, VA
• Albany, NY
• Austin, TX
• Beaverton, OR
• Bentonville, AR
• Boston, MA
• Carmel, IN
• Charlotte, NC
• Chicago, IL
• Cincinnati, OH
• Cleveland, OH
• Columbus, OH
• Culver City, CA
• Denver, CO
• Des Moines, IA
• Detroit, MI
• Hartford, CT
• Houston, TX
• Irving, TX
• Kirkland, WA
• Miami, FL
• Milwaukee, WI
• Minneapolis, MN
• Morristown, NJ
• Mountain View, CA
• Nashville, TN
• New York City, NY
• Oklahoma City, OK
• Overland Park, KS
• Philadelphia, PA
• Pittsburgh, PA
• Raleigh, NC
• Redmond, WA
• Sacramento, CA
• San Diego, CA
• San Francisco, CA
• Scottsdale, AZ
• Seattle, WA
• St. Louis, MO
• St. Petersburg, FL
• Walnut Creek, CA

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