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Senior Engineer, Enterprise Platforms

1 week, 3 days ago
United States
Full-time
Senior
AI Engineer
DevOps and Infrastructure
LLM
Apply Now
Abnormal AI

Abnormal AI

Abnormal AI provides advanced email security solutions designed to block malicious email attacks, including credential phishing, business email compromise, and account takeover.

Internet Software & Services
Founded 2018
View All Jobs 73

Description

  • Design and ship AI agents and copilots that automate joiner-mover-leaver flows, access requests, troubleshooting, and governance reviews.
  • Wrap existing runbooks and policies into AI-powered workflows across internal tools, automations, and conversational interfaces.
  • Build safe data and integration layers using platform APIs, logs, internal knowledge content, and retrieval-augmented patterns where appropriate.
  • Implement prompts, tools, and orchestration flows with guardrails, access controls, approvals, and audit trails.
  • Add evaluation, logging, and monitoring so AI features can be tested, rolled out, and debugged like production services.
  • Use AI and event-driven patterns to improve lifecycle automation, device baselines, and deprovisioning within security and compliance requirements.
  • Create self-service experiences and enablement content that help employees and support teams resolve common IT needs without escalation.
  • Lead Tier 3 incidents in your areas and feed incident learnings back into automations, agents, runbooks, and governance rules.
  • Mentor engineers on AI design, code structure, and evaluation, and help shape standards and patterns for AI and automation work.
  • Partner with Security, GRC, IT Service Delivery, AI Enablement, and platform owners to select and deliver high-value AI use cases safely and quickly.

Requirements

  • 5+ years of experience in platform or systems engineering with ownership of complex, connected systems and a strong bias toward automation.
  • Strong understanding of code structures, APIs, and integration patterns, and how changes in one system affect others.
  • Familiarity with large language models and practical AI application design, including prompts, tools, guardrails, and evaluation.
  • Hands-on experience building or operating AI or automation workflows that integrate with enterprise platforms.
  • Ability to read and reason about code and automation frameworks and collaborate effectively with engineers on implementation details.
  • Solid understanding of identity and access concepts including SSO, MFA, least privilege, provisioning, and device trust.
  • Comfort with observability practices and defining metrics such as quality, latency, safety, and cost.
  • Proven incident and change management habits, including root cause analysis, documented follow-through, and evidence of improvements.
  • Clear written and verbal communication for technical and non-technical audiences.
  • Preferred: 5+ years working in remote-first and SaaS-heavy environments with zero trust concepts.
  • Preferred: Experience building or operating internal copilots, workflow or conversational interfaces, or agents for IT, security, or operations teams.
  • Preferred: Familiarity with AI orchestration or workflow systems and evaluation methods such as golden sets or human review.
  • Preferred: Awareness of security and compliance frameworks such as SOC 2 or ISO 27001 and how they apply to AI systems and data governance.
  • Preferred: Prior experience mentoring others or leading technical work related to AI, automation, or platform governance.

Benefits

  • Base salary range of $141,500 to $203,500 USD.
  • Eligible for bonus or incentive compensation.
  • Eligible for equity.
  • Comprehensive benefits package.
  • Equal opportunity employer with consideration for applicants regardless of protected characteristics.

Interested in this position?

Apply directly on the company website

Apply Now

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