AI Security (Senior) Manager – Architecture/Deliver

In this role you will build and lead AI security capabilities across domains, shaping secure AI systems and governance at scale. You will work closely with cross-functional teams to translate security frameworks into practical engineering guidance and drive hands-on delivery on client engagements. You’ll mentor junior colleagues while setting technical direction in an emerging discipline. This opportunity offers the chance to influence AI security strategy at Accenture and partner with industry leaders.

• 4x9 workweek
• Hybrid working
• Annual bonus
• Employee share purchase plan
• Health insurance
• Mental health support

• Architect AI security capability across domains ensuring cohesive integration with identity, detection and response, vulnerability management, GRC, and data security
• Architect secure AI systems including threat modelling, adversarial testing, MLSecOps, model/pipeline security, and secure-by-design principles
• Translate control frameworks (OWASP LLM Top 10, MITRE ATLAS, NIST AI RMF, internal Secure AI controls) into actionable guidance for client development and MLOps teams
• Engage in hands-on delivery, configuring and deploying Cyber.AI, building agents on Anthropic stack, extending Agent Shield governance, and integrating AI into client environments
• Lead technical delivery on client engagements, directing AI security workstreams from scoping to implementation and handover
• Contribute across technical, consulting, and commercial activities including RFPs, proposals, and opportunity development
• Grow technical capability by mentoring junior colleagues and raising the practice's technical bar

• Approximately 7–10 years of relevant experience in cybersecurity, technology consulting, security engineering, or related field
• Demonstrable hands-on experience building or securing AI systems (LLM apps, agentic architectures, ML pipelines)
• Strong security architecture background with ability to reason at capability and platform level
• Practical fluency with modern AI engineering (APIs, agent frameworks, retrieval architectures, model deployment patterns)
• Experience translating security frameworks or policy into engineering practice with development teams
• Familiarity with modern AI architecture (LLM apps, RAG pipelines, agent frameworks, deployment patterns) and security-relevant seams
• Leadership capable of cross-domain security thinking, credibility with engineers and senior client stakeholders, and experience leading engagement teams
• Comfort setting technical direction in an emerging discipline where playbooks are still developing

• Cross-functional collaboration
• Mentoring and developing others
• Credibility with engineers and senior stakeholders
• AI security architecture
• LSLM/ML pipeline security
• Threat modelling and red-teaming