Cybersecurity AI Forward Deployed Engineer - Atlanta

Salary: $54,400 - 235,100 per year Requirements:

• We need at least 3 years of engineering experience in production environments, with depth in one cybersecurity area such as AppSec, SecOps or detection engineering, cloud security, IAM, offensive security or 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 familiarity is not enough.
• We need at least 3 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 configurations.
• We require a bachelors degree or equivalent experience, defined as at least 12 years of work experience.
• If you hold an associates degree, we require at least 6 years of work experience.
• We need proven ability to communicate security risk in business language and translate threat exposure into investment rationale that a CISO or CFO would act on.

• We support AI security architecture and threat modeling for production agentic deployments across complex, multi-stakeholder environments, covering 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, creating AI-powered detection systems, automated threat response tooling, security assessment frameworks, and governance automation.
• We manage AI-specific threat surfaces 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 for AI systems, data pipeline security, model serving security, and multi-system integration risk across cloud platforms.
• We help implement AI governance frameworks such as the EU AI Act, NIST AI RMF, and model risk management in live production environments.
• We shape AI reinvention security strategy for client CISO and CTO stakeholders by building risk-adjusted investment cases, security architecture roadmaps, and AI governance operating models.
• We define and publish reusable security patterns, playbooks, and accelerators that can scale across multiple client engagements and support the growth of the Secure AI practice.
• We contribute to architecture design sessions, threat modeling workshops, and code-with sessions with client engineering and security leadership teams.

• 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, helping organizations prepare, protect, detect, respond, and recover across the full security lifecycle. We combine global resources, advanced technologies, and a broad mix of risk strategy, digital identity, cyber defense, application security, and managed services to create tailored solutions that strengthen cyber resilience. This role sits within our Reinvention Delivery Engine pod, where we work in small, persistent teams embedded in client environments and focused on 90-day outcome-driven delivery cycles. Travel may be required, ranging from 0% to 100% depending on business needs and client requirements. 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. Accenture is a global professional services company with approximately 791,000 people serving clients in more than 120 countries, and we are committed to diversity, inclusion, and creating 360 value for our clients, our people, and our communities.

last updated 37 week of 2026