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Leads technical sales and cloud modernization engagements for mid-market customers. Designs secure, scalable Azure architectures; guides migrations for Windows, SQL Server, Linux, PostgreSQL, Oracle, SAP, and VMware workloads; and supports hybrid networking, containerization, resiliency, security, and compliance. Conducts technical demonstrations, proofs of concept, architecture sessions, and workshops while collaborating with customers, partners, and engineering teams to resolve blockers and accelerate Azure adoption.

Designs, develops, deploys, and sustains Azure infrastructure for AI training and inference workloads. Responsibilities include coding, hardware and software integration, distributed systems, networking, GPU and cluster design, performance optimization, debugging, automation, test-driven engineering, documentation, partner collaboration, and on-call incident response. The role drives scalable, reliable infrastructure and mentors engineers while improving quality, maintainability, and customer outcomes.

Leads consultative AI business process sales engagements with senior customer executives. Identifies high-value AI scenarios, delivers solution demonstrations, drives platform adoption, resolves technical blockers, develops pipeline, and manages complex sales processes through close. Coaches sales teams on deal strategy, coordinates cross-functional resources, communicates Microsoft's competitive value, and builds repeatable solution-selling practices and assets.

Designs and builds highly scalable, fault-tolerant Azure compute services, microservices, REST APIs, billing pipelines, and distributed systems. Responsibilities include improving availability, security, scalability, performance, disaster recovery, and compute utilization; using telemetry and data-driven insights; developing cloud-native solutions with containers, NoSQL, and Big Data technologies; and leveraging AI-assisted development in an Agile environment.

Design and lead development of high-performance networking infrastructure for large-scale AI training and inference in Azure. Architect low-latency, low-jitter communication frameworks, optimize distributed systems, benchmark scalability, resolve complex networking issues, and improve reliability, observability, and performance. Mentor engineers, create technical designs, manage dependencies, and participate in on-call operations for critical services.

Drive technical sales for Microsoft Cloud and AI platforms by leading demonstrations, proofs of concept, architecture sessions, workshops, migration planning, and solution design. Help mid-market customers modernize Windows, SQL Server, Linux, PostgreSQL, and enterprise workloads through secure hybrid and cloud-native architectures. Guide containerization, Kubernetes, networking, resiliency, compliance, and AI infrastructure initiatives while collaborating with engineering teams, partners, and technical and business stakeholders.

Leads architecture and development of Azure Storage table, metadata, and indexing systems at massive cloud scale. Designs distributed-system primitives for partitioning, indexing, transactions, consistency, replication, caching, and high-performance data access. Drives architectural decisions, prototypes innovations through production, and improves performance, scalability, reliability, and cost efficiency. Requires deep expertise in distributed storage, databases, or large-scale systems.

Deliver proactive and reactive support for mission-critical Azure solutions. Assess and improve customer solution health, performance, availability, and resilience; troubleshoot critical incidents; provide technical guidance and workshops; and collaborate with support, account, engineering, and customer teams. Manage Azure opportunities, participate in on-call rotations, strengthen customer relationships, communicate service offerings, and drive continuous delivery improvements.

Leads go-to-market strategy and operating models that drive adoption of Microsoft Security AI capabilities, including Security Copilot and agentic SOC workflows. Designs customer usage motions from targeting and activation through sustained adoption, value realization, renewal, and expansion. Analyzes customer and operational data, develops playbooks and enablement, coordinates cross-functional teams, and establishes feedback loops to improve measurable customer and business outcomes.

Drive enterprise sales of Microsoft AI workforce solutions, including Microsoft 365, Copilot, and AI agents. Engage senior business and technology leaders, identify transformation opportunities, build business cases, manage complex sales cycles, develop pipeline, forecast accounts, and orchestrate Microsoft teams, services, customer success groups, and partners to accelerate adoption and measurable business outcomes.