AI Workforce Specialist

Active / Open Until Filled

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Job role insights

  • Date posted

    September 12, 2026

  • Closing date

    Not Disclosed (Open Until Filled)

  • Location

    Reston

  • Salary

    USD107,600 - USD187,500 /year

  • Career level

    Mid / Professional Level

  • Experience

    4+ Years

Description

Microsoft Corporation is actively seeking an exceptional professional to join our organization as a AI Workforce Specialist within the Solution Area Specialists division. Positioned at the core of Microsoft’s technological innovation, this role offers direct involvement in mission-critical engineering initiatives, planetary-scale cloud services, and next-generation product architectures.

Role Overview & Strategic Impact

As a AI Workforce Specialist based in Reston, Virginia, United States, you will play an integral role in architecting, engineering, and delivering transformative technology solutions. Operating within Microsoft’s Solution Area Specialists practice, your efforts will directly shape the scalability, performance, and security of software systems and platforms trusted by billions of users worldwide.

Microsoft’s enduring mission is to empower every person and every organization on the planet to achieve more. Team members thrive within an inclusive culture grounded in a growth mindset, cross-team empathy, and uncompromising customer focus. In this position, you will collaborate with industry-leading engineers, researchers, and product leaders to solve complex technical problems at unprecedented scale.

Technical Domain: Hyperscale Cloud Architecture & Frontier AI Integration

Operating at the nexus of planetary-scale cloud infrastructure, Microsoft Azure powers the foundation for enterprise digital transformation and generative AI breakthroughs. Engineers and architects in this domain design, deploy, and optimize highly resilient, multi-region cloud services, intelligent API pipelines, and secure data topologies. Leveraging deep integrations with Azure OpenAI, foundational LLMs, and distributed microservices, team members accelerate production-grade intelligence while upholding strict standards for reliability, zero-trust security, and operational latency.

Professionals in this specialization combine strong computer science fundamentals with practical, real-world systems engineering. Whether delivering distributed microservices, designing custom silicon interconnects, managing physical datacenter infrastructure, or scaling AI-powered customer workflows, you will operate within a mature engineering ecosystem supported by Microsoft’s global technical community.

Key Responsibilities & Scope of Work

In this capacity, your daily priorities and core technical contributions will center on the following key operational deliverables:

  • Orchestrate a virtual team and assess agency needs to develop strategies that proactively build a stakeholder network to accelerate and close AI Workforce opportunities.
  • Drive incremental revenue growth through personal campaigns (e.g., portfolio and seat analysis) and internal sources (marketing, account teams); qualify and expand new opportunities and build pipeline through Microsoft’s sales process (MSP).
  • Drive growth across the core Microsoft 365 estate — ME3, ME5, ME7, Microsoft Teams, Microsoft Viva, Frontline Worker, Windows 365, and Azure Virtual Desktop — through seat growth, workload adoption, competitive displacement, and renewal motions, recognizing that a healthy productivity and collaboration foundation is what makes AI deployment possible.
  • Land Copilot and agent deployments that actually get used — ensure a rapid, robust deployment plan at point of sale, validated by services and partners, and identify and remove blockers to consumption and renewal.
  • Grow existing agency footprints by expanding from initial Copilot pilots into enterprise-wide, mission-aligned AI adoption.
  • Foster and expand Microsoft’s relationship with agency Business Decision Makers, mission owners, and CIO/CTO/CDAO organizations. Hunt new AI Workforce opportunities by identifying and engaging with key business contacts. Understand agencies’ mission, business and technology priorities, governance, decision and budget processes, and land the value proposition of AI Workforce solutions.
  • Articulate the business value of the Microsoft 365 productivity and collaboration platform against competing solutions, and position the portfolio as an integrated whole rather than a set of individual workloads.
  • Maintain rigorous code quality, comprehensive automated test coverage, and security compliance throughout all phases of software delivery.
  • Participate actively in technical design reviews, operational post-mortems, and architectural discussions across global engineering cohorts.

Candidate Profile & Experience Requirements

Candidates for the AI Workforce Specialist position are evaluated based on their practical experience, technical depth, and demonstrated track record of problem-solving:

  • Professional Background: Minimum of 4 years (48 months) of verified experience directly relevant to solution area specialists or related technical specializations.
  • Bachelor’s Degree in Computer Science, Information Technology, Business Administration, Information Security, or related field AND 4+ years of experience in technology-related sales or account management, OR equivalent experience.
  • 6+ years of experience forecasting, developing demand and building pipeline, and leading/orchestrating complex, matrixed teams.
  • 2+ years of experience with Generative and Agentic AI.
  • Technical Competence: Demonstrated mastery of programming environments, distributed systems, modern cloud infrastructure, or specialized analytical methodologies relevant to the domain.
  • Cross-Functional Leadership: Strong written and verbal communication skills, with an established ability to articulate complex technical architectures clearly to engineering peers and executive stakeholders.
  • Culture & Values: Demonstrated alignment with Microsoft’s core values of respect, integrity, and accountability, alongside a proactive dedication to diversity and inclusion.

Work Environment, Workplace Schedule & Location Structure

This position is designated with an official location in Reston, Virginia, United States. Work arrangements for this role are structured as Onsite Model with Hybrid Work Flexibility (Reston, Virginia). Microsoft provides modern, accessible work environments equipped with state-of-the-art developer tooling, ergonomic facilities, and collaborative hybrid infrastructure.

Compensation, Total Rewards & Comprehensive Benefits

Microsoft offers a comprehensive, highly competitive total rewards framework designed to support employees’ personal, professional, and financial well-being:

  • Legally Disclosed Base Salary Range: USD $107,600 – USD $187,500 per annum across typical US geographic zones (regional geographic differentials apply for high-cost zones such as the San Francisco Bay Area and New York City metropolitan areas).
  • Incentive & Equity Rewards: Eligibility for annual performance-based cash bonuses and Microsoft restricted stock units (RSUs).
  • Comprehensive Healthcare: Premium medical, dental, and vision coverage, including mental health support programs and wellness reimbursements.
  • Retirement & Financial Security: Robust 401(k) / national retirement savings plans with generous company matching contributions, alongside financial planning resources.
  • Time Off & Work-Life Harmony: Generous paid time off, comprehensive parental leave programs, public holiday allowances, and caregiver leave support.
  • Growth & Learning: Unlimited access to Microsoft Learn, internal technical conferences, tuition assistance, and structured career mobility pathways across worldwide business units.

Application Process & Requisition Reference

This position is actively open and monitored by Microsoft Talent Acquisition. In alignment with corporate hiring policies, applications are accepted on an ongoing basis with no rigid pre-determined closing deadline until a qualified candidate is formally selected (Open Until Filled).

To submit your application, select the Apply Now button on this listing to navigate directly to the official Microsoft Careers requisition portal. When submitting your candidacy, reference Requisition ID 200054307. Ensure your resume and supporting documentation highlight your relevant technical deliverables, system achievements, and professional qualifications.

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