AI Ops Architect -AI Governance

Role : AI Ops Architect

Fulltime role

Location : Phoenix Arizona, USA.

Role Overvie

wThe AI Ops Architect is the end-to-end technical owner of enterprise AIOps and Agentic AI solutions responsible for designing scalable secure and business aligned AI drivenn automation ecosystems The AI Architect is the technical owner of theentunednd AI Agents program This individual defines the overall system architecture governs design decisions and ensures all 16 GitHub Copilot Agent extensions are built cohesively securely and in alignment with enterprise standards across Splunk Dynatrace ServiceNow Ansible and MRD platform

s
Key Responsibiliti

es
1 Architecture Owners

hipSolution Des

ignDefine and own enterprise AI agent architecture including multiagent orchestration frameworks and context managem

entDesign scalable AIOps solutions integrating ServiceNow Splunk Dynatrace and Ansi

bleDesign and own the enterprise AI agent architect

ureincluding the GitHub Copilot Agent SDK Agent Router Dispatcher MCP Model Context Protocol server contracts and the onprem vector DB Context Memory St

oreEstablish reusable agent extension patterns tool call schemas and prompt engineering standards to be followed across all 16 use cases spanning Splunk Dynatrace Midrange and MRD doma

ins
2 Agentic AI Automation Enginee

ringDesign multiagent systems for proposal automation incident triage and knowledge genera

tionDefine agent collaboration patterns and prompt engineering stand

ards
3 Enterprise Integration AIOps Enabl

ementIntegrate AI solutions using APIs webhooks and event st

reamsImplement AIdriven anomaly detection and automated remedi

ation
4 Security Governance Risk Mana

gementEstablish RBAC approval workflows and audit logging mech

anismsMitigate risks related to autonomous actions and data p

rivacy
5 Delivery Leadership Agile Gov

ernanceLead AIAIOps delivery programs and conduct architecture

reviews
6 Customer Engagement Value Rea

lizationLead architecture workshops and executive prese

ntationsTranslate AI insights into business

outcomes
7 Innovation Product

ThinkingBuild AI accelerators such as RFP automation tools and

copilots
MustH

ave SkillsMultiagent architecture and orchestration

frameworksExperience with ADK Lan

gGraph MCPIntegration with enterprise platforms ServiceNow Splunk

DynatraceStrong Python programming and API d

evelopmentKnowledge of RBAC and governa

nce modelsAILLM Agent Architecture Deep expertise in designing multiagent systems agent orchestration frameworks GitHub Copilot Agent SDK LangChain or equivalent MCP protocol and toolcal

l patternsEnterprise Integration Ar

chitectureStrong experience integrating AI systems with enterprise platforms ServiceNow Splunk Dynatrace Ansible TowerAWX via REST APIs and webhoo

k patternsSecurity

ComplianceDesign Proficient in designing RBAC zerotrust access models audit logging and approval workflows for automatedautonomous systems in regulated enterprise en

vironments
Technical

LeadershipAgile Delivery Proven track record leading crossfunctional engineering teams using AgileScrum ability to manage scope velocity and stakeholder expectations across multipha

se programsPython Infrastructure as Code Strong Python development skills familiarity with GitHub Enterprise CICD pipelines and IaC tooling Terraform Ansible for enterprise AI

deploymentsStrong customer presentation and storytelling skills with the ability to translate AIML and AIOps insights into business releva

nt outcomesAbility to lead customer workshops architecture walkthroughs and executive briefings on AIOps strategy platforms and value

realizationExperience presenting AIdriven incident intelligence anomaly detection insights and automation outcomes to senior s

takeholdersExcellent communication skills with proficiency in creating impactful executive presentations dashboards and data vis

ualizations