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
Aware of security and compliance frameworks such as SOC 2 or ISO 27001 and how they to AI systems and data governance
Prior experience mentoring others or leading technical work related to AI, automation, or platform governance
#LI-AW1
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. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by law. For our EEO policy statement please click here. If you would like more information on your EEO rights under the law, please click here.
