Cybersecurity Forward Deployed Engineer - FDE Senior Manager
Manager
Senior
Agent
Ai Governance
Ai Security
Application Security
Cloud Platforms
Data Security
Enterprise Risk
Identity and Access Management
Information Security
InfoSec
Management
Prompt Injection
Risk Governance
Risk Management
Security
Security Automation
Security Compliance
Solution Architecture
Job Description
Accenture offers a comprehensive benefits package and a culture focused on practical cybersecurity leadership in AI. This onsite role in Albany, NY places you inside client environments to secure AI systems, shape governance, and drive resilient deployments.
Benefits
- Medical, dental, vision, life, and long-term disability insurance
- 401(k) plan
- Bonus opportunities
- Paid holidays
- Paid time off
Responsibilities
- Lead AI security architecture and threat modeling for production deployments across complex client environments including LLMs, multi-agent pipelines, RAG architectures, and MLOps infrastructure, owning the security design from assessment to hardened deployment
- Provide hands-on security engineering using agentic coding tools as the primary build environment; develop AI-powered detection, automated threat response tooling, security assessment frameworks, and governance automation using Claude Code, Cursor, or GitHub Copilot
- Manage AI threat surface at program scale: implement OWASP LLM Top 10 controls, prompt hardening, model extraction prevention, adversarial input defenses, and AI supply chain security across concurrent client workstreams
- Architect and govern AI security controls across the enterprise stack: IAM for AI systems, data pipeline security, model serving security, and cross-system integration risk across AWS, Azure, or GCP
- Lead AI governance framework implementation: EU AI Act, NIST AI RMF, and model risk management applied to live production systems
- Shape AI reinvention security strategy for client CISO and CTO: build risk-adjusted investment cases, security architecture roadmaps, and AI governance operating models aligned to commercial outcomes
- Define and publish reusable security patterns, playbooks, and accelerators to scale across client engagements and grow the Secure AI practice
- Lead architecture design sessions, threat modeling workshops, and code-with sessions with client engineering and security leadership teams
- Contribute cybersecurity domain expertise in at least one discipline (AppSec, SecOps, IAM, cloud, GRC, or offensive security)
- Support proposal and SOW development, solution shaping, and client commercial engagement
- Facilitate executive workshops and communicate with C-suite and CISO level stakeholders
- Apply structured analytical thinking and hypothesis-driven problem decomposition
- Provide team leadership by developing and coaching managers and consultants through delivery
Requirements
- At least 10 years of engineering experience in production with depth in a cybersecurity discipline (AppSec, SecOps, cloud security, IAM, offensive security / penetration testing, or GRC)
- At least 2 years of hands-on experience designing and deploying agentic AI solutions in production
- At least 8 years of end-to-end security delivery ownership in a client-embedded or production environment
- At least 8 years working with cloud platform security fundamentals across AWS, Azure, or GCP, including IAM, network security, secrets management, and AI service security configurations
- Bachelor's degree or equivalent work experience; if holding an Associate’s Degree, a minimum of 6 years of work experience is required
Technologies
- Claude Code
- Cursor
- GitHub Copilot
- AWS
- Azure
- GCP
Compensation
Salary range: USD 122,700 - 366,300 per year. Compensation varies by location, role, skill set, and experience. The posting is expected to remain open through 08/10/2026.