Solution Engineer - AI Workforce Solution
- Location
- United States
- Job type
- Full-time
- Level
- Mid-level
- Experience
- 3+ years
- Education
- Bachelor's degree
- Listed
- 28 days ago
Skills & highlights for this role
- technical pre-sales
- solution architecture
- enterprise sales cycles
- Microsoft 365 Copilot
- consultative selling
Also useful
- Copilot Studio
- agent development
- executive relationship building
Overview
Our purpose is to empower organizations to transform the way they work by harnessing the full potential of artificial intelligence. We guide customers through the evolving digital landscape, enabling them to unlock new opportunities, enhance productivity, and deliver exceptional employee and customer experiences. By integrating advanced AI capabilities across devices, cloud platforms, and everyday business applications, we help organizations realize seamless, innovative, and secure solutions that drive sustained growth and success in the AI era.
As a Solution Engineer in the AI Business Solutions – Copilot team, you will lead technical engagements that drive AI transformation for enterprise customers. Your mission is to win technical decisions and accelerate adoption of Microsoft 365 Copilot, Copilot Chat, Copilot Studio and Agents, and related solutions by delivering compelling demos, envisioning sessions, and scalable architectures. You will act as a trusted advisor, guiding customers through secure, compliant, and value-driven implementations that align with their enterprise strategies.
This role is pivotal in shaping the future of work by enabling customers to realize the full potential of AI-powered productivity. You will collaborate closely with sales, customer success, engineering, and partner teams to remove technical blockers, generate pipeline, and ensure seamless handoffs for deployment and adoption. Your success will be measured by technical wins, customer adoption, partner engagement, and your contributions to a high-performance, learning-oriented team culture.
- Drive AI transformation by orchestrating complex technical engagements across multiple stakeholders.
- Lead architecture design for secure, scalable solutions aligned with enterprise strategy.
- Influence product and go-to-market strategy by providing structured feedback to engineering and sales leadership.
- Proactively identify and escalate unresolved technical blockers through formal channels.
- Champion compliance, diversity, and inclusion by modeling ethical behavior and inclusive practices.
Responsibilities
Lead AI transformation engagements (e.g., demos and pilots) to win technical decisions and drive customer commitment to Copilot and Agents. This includes documenting adoption plans and ensuring a smooth handoff to Customer Success teams or partners for usage onboarding.
- Support AI Workforce SSP hunting efforts by engaging with customer contacts, qualifying leads, and identifying partner co-sell opportunities.
- Assist with ME3, ME5, and ME7 upsell opportunities.
Generate new pipeline and competitive wins for M365 Copilot, Copilot Chat, Copilot Studio and Agents, ME3, ME5, ME7, and Frontline Worker solutions. Deliver impactful AI-powered demos and Art of the Possible sessions, remove technical blockers, and highlight Microsoft’s differentiation to secure deals and protect the installed base.
- Craft scalable, secure, and modular architectures that align with the customer’s enterprise strategy and technical roadmap while embedding security at every level.
- Maintain operational excellence with 100% deal hygiene: capture technical close plans and consumption plans in MSX for every opportunity, attach a partner to every qualified deal, and promptly escalate unresolved technical blockers.
- Continuously upskill to meet role expectations by achieving L200 consultative and L400 technical-depth certifications. Contribute to team excellence by sharing at least one deal win or loss insight per quarter and engaging in regular coaching.
Required/Minimum Qualifications
- A bachelor’s degree in Computer Science, Information Technology, or a related field and 3+ years of technical pre-sales or technical consulting experience; a master’s degree in Computer Science, Information Technology, or a related field and 3+ years of technical pre-sales or technical consulting experience; 3+ years of technical pre-sales or technical consulting experience; or equivalent experience.
Additional or Preferred Qualifications
- 3+ years of solution or services sales experience.
- Proven ability to build and maintain strong business and executive relationships.
- Strong grasp of sales cycles and strategic decision-making.
- Skilled in consultative selling and persuasive negotiation.
- Able to manage and optimize sales pipelines through informed change processes.
- Focused on advancing opportunities for both current and future customers.
Additional information
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Equal opportunity and legal notices
Microsoft is an equal opportunity employer.
All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances.
If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
From Microsoft's careers page, first listed on Rolev.ai on October 11, 2026. Rolev.ai is not the employer.
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Common questions
Where is the Solution Engineer - AI Workforce Solution job at Microsoft located?
This Solution Engineer - AI Workforce Solution position at Microsoft is located in United States. Always check Microsoft's application page for specific state eligibility or relocation policies.
What qualifications are required for Solution Engineer - AI Workforce Solution at Microsoft?
For the Solution Engineer - AI Workforce Solution role, Microsoft highlights 3+ years of relevant experience; a bachelor's degree; experience with technical pre-sales, solution architecture, enterprise sales cycles, Microsoft 365 Copilot, consultative selling. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.
How do I apply for the Solution Engineer - AI Workforce Solution position at Microsoft?
This listing links directly to Microsoft's application page. You can apply directly on Microsoft's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.