Director, Solution Engineering- Cloud & AI

We are looking for a Director of Solution Engineering to lead our Cloud & AI team and help customers move from AI ambition to real business impact with Azure. In this people leadership role, you will build and develop a high-performing team of Solution Engineers who shape technical strategy, influence critical customer decisions, and drive technical wins and business growth across Microsofts Cloud & AI portfolio, including Azure infrastructure, data, applications, and AI.

You and your team will remove technical blockers and build trusted roadmaps for cloud modernization, AI adoption, and long-term Azure value. You will partner closely with sales, customer success, partner, and engineering teams, as well as executive stakeholders, to align technical strategy with business priorities and land secure, scalable solutions. You will also coach your team to deliver high-quality customer engagements, consistent pipeline discipline, and measurable outcomes.

You will play a key role in scaling Microsofts AI transformation in the field, showing sellers and customers why Azure sits at the center of their AI journey. This role is ideal for a leader who pairs deep technical credibility with a focus on customer outcomes and a passion for building collaborative teams.

Responsibilities

• Lead, coach, and develop a team of Cloud & AI Solution Engineers, building a culture of technical excellence, customer focus, accountability, inclusion, and psychological safety. Hold regular one-on-ones about career growth and skill development, and give ongoing feedback that helps each person grow.
• Drive customer technical strategy across Azure and AI, helping customers turn business priorities into secure, scalable cloud architectures and actionable adoption plans.
• Accelerate adoption of Microsofts Cloud & AI portfolio, including Azure infrastructure, data and application platforms, Microsoft Foundry, Copilot, AI agents, and AI operations.
• Partner with sales and customer success leaders to shape pipeline, advance technical milestones, remove blockers, and improve forecast accuracy.
• Build trusted relationships with customer executives, technical decision makers, partners, and internal stakeholders to influence strategic technology decisions.
• Bring clarity and momentum to complex customer engagements by connecting technical depth, business value, partner execution, and measurable customer outcomes.
• Champion continuous learning by keeping your own knowledge current across the Cloud & AI portfolio and coaching your team to deep technical expertise in their areas. Protect time for team learning, and celebrate certifications and customer wins.

Artificial Intelligence (AI), Software Engineering, Cloud Computing, Cloud Computing, Technical Strategy, Software Engineering, Microsoft Windows Azure, Leadership, Customer Support/Service, Artificial Intelligence (AI), * Masters Degree in Computer Science, Information Technology, Business or related field AND 4+ years technical pre-sales or technical consulting experience OR Bachelors Degree in Computer Science, Information Technology, or related field AND 6+ years technical pre-sales or technical consulting experience OR 7+ years technical pre-sales or technical consulting experience OR equivalent experience., * Experience leading technical sales, solution engineering, cloud architecture, consulting, or customer-facing engineering teams.

• Demonstrated ability to coach and develop technical talent, build inclusive teams, and lead through influence across matrixed organizations.
• Understanding of cloud platforms, AI, data, application modernization, security, and enterprise architecture patterns.
• Experience partnering with sales leadership to drive pipeline, technical wins, consumption growth, and customer transformation outcomes.
• Ability to engage senior customer stakeholders, simplify complex technology decisions, and connect technical solutions to business value.
• Familiarity with Microsoft Azure, AI platforms, Copilot, developer tools, data platforms, and competitive cloud/AI market dynamics, or similar platforms.
• Track record of managing complex customer engagements, removing technical blockers, and delivering results through cross-functional teams.
• 7+ years’ technology-related pre-sales or account management experience

Solution Engineering M5 - The typical base pay range for this role across the U.S. is USD $130,900 - $251,900 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $165,600 - $272,300 per year.