Senior Engineer, Enterprise Platforms

Job not on LinkedIn

🕒 May 5

🇺🇸 United States – Remote

💵 $141.5k - $203.5k / year

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

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Abnormal Security

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Abnormal provides total protection against the widest range of attacks including phishing, malware, ransomware, social engineering, executive impersonation, supply chain compromise, internal account compromise, spam, and graymail.

📋 Description

• Design and ship AI agents and copilots for Enterprise Platforms that automate joiner mover leaver flows, access requests, troubleshooting, and governance reviews • Wrap existing runbooks and policies in AI powered workflows across internal tools, automations, and conversational interfaces • Build safe data and integration layers for AI using platform APIs, logs, and internal knowledge content, including retrieval augmented patterns where appropriate • Implement prompts, tools, and orchestration flows with clear guardrails, access controls, approvals, and audit trails so governance is built in • Add evaluation, logging, and monitoring so AI features can be tested, rolled out, and debugged like any other production service • Use AI and event driven patterns to improve lifecycle automation, device baselines, and deprovisioning while staying within security and compliance requirements • Create self service experiences and enablement content so employees and support teams can resolve common IT needs and questions 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 inside Enterprise Platforms • Partner with Security, GRC, IT Service Delivery, AI Enablement, and platform owners to select high value AI use cases and land them safely and quickly

🎯 Requirements

• 5+ years experience in platform or systems engineering with ownership of complex, connected systems and a strong bias toward automation over manual work • 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 to 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 and tracking 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 that makes complex AI and systems topics understandable for technical and non technical audiences.

🏖️ Benefits

• Actual compensation will be determined based on several non-discriminatory factors including skills, experience, qualifications, and geographic location. • In addition to base salary, this role may be eligible for bonus or incentive compensation, equity, and a comprehensive benefits package.