Data Pipeline Security Cybersecurity Jobs

1 job found

1mo ago

Cybersecurity Forward Deployed Engineer - FDE Senior Manager

Accenture Arlington, VA

Arlington, VA

1mo ago Closed

$123k - $366k/yr Full time Manager Agent Ai Security

This position is no longer accepting applications (closed Aug 1, 2026).

Job Description

Accenture seeks a Senior Manager to serve as a Cybersecurity Forward Deployed Engineer, embedded in client environments to secure production AI deployments and govern AI security across the enterprise. This onsite role is based in Arlington, VA, with a salary range of USD 122,700 to 366,300 per year. The position blends hands-on security engineering with architecture leadership and governance, offering the chance to shape Secure AI practices across multiple client engagements, collaborate with client CISO and CTO, and lead teams through delivery.

Benefits

Medical
Dental
Vision
Life insurance
Long-term disability coverage
401(k) plan
Bonus opportunities
Paid holidays
Paid time off

Responsibilities

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, owning security design from assessment through hardened deployment
Deliver hands-on security engineering using agentic coding tools as the primary build environment, building AI-powered detection systems, automated threat response tooling, security assessment frameworks, and governance automation using Claude Code, Cursor, or GitHub Copilot in daily delivery practice
Own AI-specific threat surface management at program scale, covering OWASP LLM Top 10 controls, prompt injection 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, including identity and access for AI systems, data pipeline security, model serving security, and cross-system risk in cloud platforms (AWS, Azure, or GCP)
Lead AI governance framework implementation, aligning with 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, building risk-adjusted investment cases, security 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, developing and coaching managers and consultants through delivery

Technologies

Claude Code
Cursor
GitHub Copilot
AWS
Azure
GCP

Requirements

Minimum of 10 years of engineering experience in production environments with depth in at least one cybersecurity discipline (AppSec, SecOps / detection engineering, cloud security, IAM, offensive security / penetration testing, or GRC)
Minimum 2 years of hands-on experience designing and deploying agentic AI solutions in production environments; theoretical familiarity does not qualify
Minimum 8 years of end-to-end security delivery ownership experience in a client-embedded or production environment; internal advisory or compliance-only roles do not qualify
Minimum 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 (minimum 12 years); if an Associate’s Degree, a minimum of 6 years of work experience
Proven ability to communicate security risk in business terms, translating threat exposure into risk-adjusted investment rationale
People leadership experience with managing, developing, and performance-managing a team of engineers, including setting development plans and conducting career conversations

View full job page →

Get Data Pipeline Security Cybersecurity Jobs alerts

New Data Pipeline Security Cybersecurity Jobs, daily.