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Senior Forward Deployed Engineer, AI Security

11 hours, 42 minutes ago
United States
Full-time
Senior
AI (Artificial Intelligence)
Artificial Intelligence and Machine Learning
AWS Azure Bash CI/CD GCP PowerShell Python REST API
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AHEAD

AHEAD

AHEAD accelerates the impact of technology on clients by engineering customized data, developer, and infrastructure platforms that improve IT operations. By weaving together cloud infrastructure, intelligent operations, and modern applications, we help...

IT Services
1001-5000
$43M raised
View All Jobs 20

Description

  • Deploy and operationalize AI security solutions in customer and enterprise environments.
  • Translate business, operational, and AI security requirements into deployable architectures and implementation plans.
  • Develop technical proposals, statements of work, and solution architectures for AI security engagements.
  • Design and implement integrations across AI platforms, model registries, LLM gateways, vector databases, and AI security tooling.
  • Build cloud-native pipelines for AI telemetry, model activity logs, and prompt/response data.
  • Implement AI security controls including prompt-injection defenses, model access controls, data-leakage prevention, and agentic-workflow monitoring.
  • Secure non-human identities such as service accounts, API keys, tokens, and agent credentials.
  • Implement AI red teaming, adversarial testing, model risk scoring, and anomaly detection with partner teams.
  • Troubleshoot production integration and deployment issues while improving reliability through testing, monitoring, documentation, and engineering standards.
  • Lead cross-functional delivery, mentor engineers and consultants, and provide field feedback on product and platform direction.

Requirements

  • 7+ years of experience in security engineering, AI engineering, platform engineering, forward deployed engineering, solutions consulting, or related roles, with progression to a principal or senior consulting level.
  • Hands-on experience securing AI systems, LLM applications, or AI production pipelines.
  • Experience deploying cloud-native architectures on AWS, Azure, or GCP.
  • Strong experience with data integration, telemetry pipelines, normalization, and security analytics for AI systems.
  • Customer-facing implementation experience with executive stakeholders or cross-functional delivery teams.
  • Experience developing technical proposals, statements of work, and engagement-scoping documents.
  • Understanding of AI security risks, including prompt injection, model theft, data poisoning, adversarial attacks, and agentic AI risks.
  • Experience with Python, PowerShell, or Bash; REST APIs, webhooks, and event-driven integrations.
  • Working knowledge of LLMs, vector search, retrieval-augmented generation, model evaluation, and AI agents; bachelor’s degree in a related field or equivalent practical experience.
  • Preferred: experience with OpenAI Daybreak Blue/Red or Anthropic models, AI governance frameworks, MITRE ATLAS, regulated environments, IaC, CI/CD, reusable delivery frameworks, or relevant cloud, security, or AI certifications.

Benefits

  • On-target earnings including base salary and applicable target bonus.
  • Medical, dental, and vision insurance.
  • 401(k) plan.
  • Paid company holidays and paid time off.
  • Paid parental and caregiver leave.
  • Cross-department training, professional development, and sponsored certifications and credentials.

Interested in this position?

Apply directly on the company website

Apply Now

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