Job Description

Salary: $87,400 - 305,000 per year Requirements:

• We need at least 8 years of engineering experience in production environments, with deep cybersecurity expertise in one or more areas such as AppSec, SecOps/detection engineering, cloud security, IAM, offensive security/penetration testing, or GRC.
• We require at least 1 year of hands-on experience designing and deploying agentic AI solutions in a production setting; theoretical exposure is not sufficient.
• We need at least 6 years of end-to-end security delivery ownership in a client-embedded or production environment; advisory-only or compliance-only experience does not qualify.
• We require at least 6 years of experience with cloud security fundamentals on at least one platform, such as AWS, Azure, or GCP, including IAM, network security, secrets management, and AI service security configuration.
• We require a bachelors degree or equivalent experience, or an associates degree with the required amount of work experience.
• We need proven ability to communicate security risk in business language and translate threat exposure into investment decisions a CISO or CFO would support.
• We need people leadership experience, including managing, developing, and performance-managing engineers, as well as setting development plans and holding career discussions.

• We lead AI security architecture and threat modeling for production agentic deployments across complex client environments, including LLM systems, multi-agent pipelines, RAG architectures, and MLOps infrastructure.
• We deliver hands-on security engineering using agentic coding tools as our primary build environment to create AI-powered detection systems, automated response tooling, security assessment frameworks, and governance automation.
• We own AI threat surface management at programme scale, including OWASP LLM Top 10 controls, prompt injection hardening, model extraction prevention, adversarial input defenses, and AI supply chain security.
• We architect and govern AI security controls across the enterprise stack, including identity and access, data pipeline security, model serving security, and integration risk across AWS, Azure, or GCP.
• We lead implementation of AI governance frameworks such as the EU AI Act, NIST AI RMF, and model risk management for live production systems.
• We shape AI reinvention security strategy for client CISO and CTO stakeholders by building risk-adjusted investment cases, security roadmaps, and AI governance operating models aligned to business outcomes.
• We define and publish reusable security patterns, playbooks, and accelerators that can scale across multiple client engagements and strengthen the Secure AI practice.
• We lead architecture design sessions, threat modeling workshops, and code-with sessions with client engineering and security leadership teams.
• We may travel as needed, with travel requirements varying from 0% to 100% depending on business need and client requirements.

• Agentic AI
• AI
• AWS
• Architect
• Azure
• Cloud
• CTO
• Embedded
• GCP
• IAM
• Support
• LLM
• MLOps
• Model Serving
• Network
• OWASP
• RAG
• Security
• Claude Code
• Copilot
• Cursor
• GitHub

More:

We are Accenture Security, working with hackajob to connect exceptional professionals to this role. We help organizations prepare for, protect against, detect, respond to, and recover from security threats across the full lifecycle, using global resources and advanced technologies to build tailored, end-to-end solutions that strengthen cyber resilience. This is a Cybersecurity Forward Deployed Engineer position embedded within a client environment, focused on making AI systems secure, governed, and resilient through hands-on production engineering. The role sits within our Reinvention Delivery Engine (RDE) Pod, a small, persistent team that works in 90-day delivery cycles and embeds directly into the clients technology organization. We offer a market-competitive benefits package that includes medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. The compensation range varies by location and experience, and the posting is expected to remain open until 08/10/2026. We are a global professional services company with a strong focus on technology, cloud, data, and AI, and we are committed to diversity, inclusion, and equal employment opportunities.

last updated 39 week of 2026

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