Secure AI Architect Senior Manager/Assoc Director

Accenture•St. Louis, MO

2d•$112,900 - $338,300•Hybrid

About The Position

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.

Requirements

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)

Nice To Haves

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

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