Senior Engineer, Abnormal AI

• 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

Desirable

• The Senior Engineer, Enterprise Platforms builds and runs AI powered agents, copilots, and automations across identity, endpoints, SaaS, collaboration, network, and office IT
• You turn policies, runbooks, and telemetry into reliable AI workflows that reduce manual work, improve security, and make it easier for employees to get things done
• You understand code structures and connected systems, work closely with engineers on implementation, and treat AI and automation as first class, observable services
• This role reflects Abnormal VOICE values
• You move with velocity, design for long term ownership and governance, use data with intellectual honesty, stay close to customer needs, and aim for excellence in reliability and simplicity
• 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