Overview
Engage with customer IT and business leaders to understand their application, agent, data, and AI priorities, and design secure, scalable solutions that drive business value, customer confidence, and production adoption. Lead technical engagements across architecture design, proof of concepts, pilots, and production milestones to accelerate adoption of Azure AI Foundry, Agent Factory, GitHub, app platforms, integration services, and supporting data services. Own end-to-end technical delivery results for dispatched engagements, consumption plans, customer success plans, and workload-level RACIs are complete, accurate, and feasible for delivery. Use and contribute repeatable IP, templates, frameworks, agents, and centralized IP development to achieve targeted MCEM outcomes, accelerate ACR, and improve scalable delivery quality. Provide delivery oversight and escalation support for key Fact
Full job description
Full Job Description
Engage with customer IT and business leaders to understand their application, agent, data, and AI priorities, and design secure, scalable solutions that drive business value, customer confidence, and production adoption. Lead technical engagements across architecture design, proof of concepts, pilots, and production milestones to accelerate adoption of Azure AI Foundry, Agent Factory, GitHub, app platforms, integration services, and supporting data services. Own end-to-end technical delivery results for dispatched engagements, consumption plans, customer success plans, and workload-level RACIs are complete, accurate, and feasible for delivery. Use and contribute repeatable IP, templates, frameworks, agents, and centralized IP development to achieve targeted MCEM outcomes, accelerate ACR, and improve scalable delivery quality. Provide delivery oversight and escalation support for key Factory engagements across AI Apps, agents, and app innovation projects, using Factory as a delivery differentiator to accelerate time-to-value. Lead the health, resiliency, sovereignty, security, capacity management, and optimization of mission-critical workloads, including service and model retirements, to ensure readiness for production-scale AI and agent use cases. Act as the Voice of the Customer by sharing adoption issues, capacity constraints, product gaps, deployment blockers, platform readiness feedback, and preview limitations with engineering teams to accelerate resolution and improve product outcomes. Support customer and partner skilling through technical workshops, readiness activities, and guidance on AI Apps, agents, GitHub, app modernization, resiliency, and production readiness. Maintain deep technical expertise and stay current with Azure, AI, GitHub, and cloud-native development trends, while contributing to internal and external technical communities. Demonstrate a growth mindset by continuously aligning your skills to customer needs, contributing to knowledge sharing, and mentoring others to accelerate customer outcomes. Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, or related field AND multiple years experience in AI, GitHub, Agentic DevOps, AI Agent development, cloud, developer, application platform, agents, or related technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting
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