Senior Engineer, Enterprise Platforms

About the Role 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. What you will do 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 Must Haves 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 Nice to Have 5+ years working in remote first and SaaS heavy environments with zero trust concepts Experience building or operating internal copilots, workflow or conversational interfaces, or agents for IT, security, or operations teams Familiarity with AI orchestration or workflow systems and with evaluation methods such as golden sets or human review Awareness of security and compliance frameworks such as SOC 2 or ISO 27001 and how they apply to AI systems and data governance Prior experience mentoring others or leading technical work related to AI, automation, or platform governance #LI-AW1 Actua