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Microsoft Recruiting Jobs in Raleigh, NC (NOW HIRING)

The Maven Group, LLC

Entry Level Technical Recruiter

Apex, NC · Hybrid

$27K - $36K/yr

... recruiting firm located in the highly desired Historic District of Apex, NC. We provide Direct-Hire ... Must be familiar with Microsoft Office Products such as Office365, Word, Excel, Outlook and ...

The Maven Group, LLC

Entry Level Technical Recruiter

Apex, NC · Hybrid

$27K - $36K/yr

... recruiting firm located in the highly desired Historic District of Apex, NC. We provide Direct-Hire ... Must be familiar with Microsoft Office Products such as Office365, Word, Excel, Outlook and ...

The Maven Group, LLC

Entry Level Technical Recruiter

Apex, NC · On-site

$27K - $36K/yr

... recruiting firm located in the highly desired Historic District of Apex, NC. We provide Direct-Hire ... Must be familiar with Microsoft Office Products such as Office365, Word, Excel, Outlook and ...

Fujifilm

Senior Recruiter

Holly Springs, NC · On-site +1

Lead full-cycle recruiting for professional, executive, niche, and highly complex roles using ... in Microsoft Office/365 (Outlook, Teams, SharePoint, Word, PowerPoint, Excel). Why you'll love it ...

Oningroup

Staffing Recruiter - Creedmoor, NC

Creedmoor, NC

$12.75 - $16.50/hr

What You'll Do Staffing Recruiter - Join the Onin Team! Who We Are At Onin Staffing, we don't just ... Proficient in Microsoft Office and G Suite. * Passionate about helping people succeed and ...

CYNET SYSTEMS

MS Power Platform Developer

Raleigh, NC · On-site

$60 - $65/hr

Strong understanding of Microsoft 365 (Teams, SharePoint, Outlook) integrations. * Strong SQL ... recruiting powerhouse. Proudly recognized as a nationally and locally certified diversity firm ...

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Microsoft Recruiting information

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How much do microsoft recruiting jobs pay per hour?

As of Jul 20, 2026, the average hourly pay for microsoft recruiting in Raleigh, NC is $18.22, according to ZipRecruiter salary data. Most workers in this role earn between $15.87 and $19.62 per hour, depending on experience, location, and employer.

How does Microsoft recruiting work?

Microsoft recruiting involves submitting an online application through their careers website, where candidates are screened based on skills, experience, and role requirements. Selected applicants may undergo multiple interview rounds, including technical assessments and behavioral interviews, often conducted virtually or in person. Successful candidates receive offers and onboarding, with some roles requiring specific certifications or technical skills.

What are some unique challenges recruiters face when hiring for roles at Microsoft?

Recruiters at Microsoft often navigate a highly competitive talent market, especially when sourcing candidates for specialized technical and leadership roles. The company’s high standards mean that recruiters must thoroughly assess both technical expertise and alignment with Microsoft's culture and values. Additionally, they often collaborate closely with hiring managers and technical interviewers across global teams, coordinating complex interview processes and ensuring a positive candidate experience. These factors require strong organizational skills, adaptability, and excellent communication.

Does Microsoft have recruiters?

Yes, Microsoft employs recruiters who are responsible for sourcing, screening, and hiring candidates for various roles within the company. These recruiters often use tools like applicant tracking systems and may specialize in areas such as technical, sales, or corporate recruiting to find suitable talent efficiently.

How to get recruited in Microsoft?

To get recruited for a role at Microsoft, candidates should have relevant technical skills, a strong educational background, and experience aligned with the position. Applying through the official Microsoft Careers website, preparing for technical interviews, and demonstrating problem-solving abilities are key steps in the process.

How difficult is it to get hired at Microsoft?

Getting hired at Microsoft for a recruiting role is competitive, often requiring relevant experience, strong technical skills, and a solid understanding of the company's hiring processes. Candidates typically go through multiple interview rounds, including technical assessments and behavioral interviews, and having certifications or experience with tools like LinkedIn Recruiter can be advantageous.

What are the key skills and qualifications needed to thrive as a Microsoft Recruiter, and why are they important?

To excel as a Microsoft Recruiter, you need strong knowledge of talent acquisition strategies, candidate sourcing, and interviewing techniques, often supported by a bachelor's degree in human resources or a related field. Familiarity with applicant tracking systems (such as Microsoft Dynamics 365 Talent or LinkedIn Recruiter) and HR analytics tools is typically required. Exceptional interpersonal skills, attention to detail, and the ability to build relationships set top recruiters apart. These skills ensure the identification and selection of high-quality talent aligned with Microsoft’s culture and business needs.

What is Microsoft recruiting?

Microsoft recruiting refers to the process Microsoft uses to identify, attract, and hire talented individuals for various roles within the company. This process includes sourcing candidates, conducting interviews, and evaluating applicants for positions in engineering, sales, marketing, and more. Microsoft recruiters often use a combination of campus events, online applications, employee referrals, and professional networking to find qualified candidates. The company is known for its thorough interview process, which typically includes technical assessments, behavioral questions, and cultural fit evaluations.

What is the difference between Microsoft Recruiting vs Microsoft Talent Acquisition?

AspectMicrosoft RecruitingMicrosoft Talent Acquisition
FocusHiring for multiple roles across departmentsStrategic planning and long-term talent sourcing
ResponsibilitiesCandidate screening, interview coordination, job postingsWorkforce planning, employer branding, talent pipeline development
CredentialsRecruitment certifications, HR experienceSimilar credentials, often with strategic HR background
Work EnvironmentFast-paced, operationalStrategic, collaborative

Microsoft Recruiting typically handles the day-to-day hiring processes, while Microsoft Talent Acquisition focuses on strategic talent planning and employer branding. Both roles require similar credentials and work within the same industry environment, but their scope and focus differ.

What are popular job titles related to Microsoft Recruiting jobs in Raleigh, NC? For Microsoft Recruiting jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Microsoft Recruiting jobs in Raleigh, NC look for? The top searched job categories for Microsoft Recruiting jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Microsoft Recruiting jobs? Cities near Raleigh, NC with the most Microsoft Recruiting job openings:
Microsoft Recruiting jobs near you
Forward Deployed Engineer, Microsoft AI & Data

Forward Deployed Engineer, Microsoft AI & Data

Deloitte

Raleigh, NC • On-site

$111K - $133K/yr

Other

This job post has expired today. Applications are no longer accepted.

Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 90 frontline employees who took The Breakroom Quiz

59th of 148 rated financial services

Job description

At Deloitte, Forward Deployed Engineers (FDE) don't just build AI solutions, they help clients turn AI ambition into enterprise-scale impact, pairing leading class engineering with pod-based delivery and vertical expertise. If you thrive at the intersection of product, engineering, problem-solving, and client impact, this role puts you at the forefront of AI transformations.

Recruiting for this role ends on 10/30/2026.

Work you'll do

As a Microsoft AI&Data FDE, you will work side by side with senior functional and technical client team members to rapidly prototype and deliver high-impact GenAI-enabled solutions. This requires a highly motivated practitioner who moves with speed and precision, building working software, engaging confidently with senior stakeholders and engineers to bring measurable business impact from day one. Additional responsibilities include:

Client Engagement

  • Embed with clients to identify business needs and translate high-value GenAI use cases into solutions.
  • Partner with leaders, product owners, architects, and engineers to align priorities and delivery.
  • Lead working sessions to shape solutions and drive client outcomes.
  • Prototype and deliver working AI solutions using industry expertise and emerging capabilities.
  • Contribute independently within an FDE pod while mentoring newer team members.

Solution Engineering

  • Build AI-enabled solutions, agentic platforms, and workflows across enterprise AI platforms.
  • Develop scalable AI engineering patterns, tool-use approaches, and human-in-the-loop controls.
  • Apply architecture decisions that balance quality, safety, latency, cost, and model risk.
  • Deliver production-quality code using strong practices in testing, CI/CD, logging, versioning, and documentation.
  • Design extensible functionality, support sprint sizing, and align solutions with senior team members.
  • Contribute reusable assets including code, prompt libraries, runbooks, and reference implementations.


The team

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Required qualifications 

  • Bachelor's degree (or equivalent) in Computer Science, Data Science or Engineering.
  • 3+ years of experience in software engineering, data engineering, data science, or analytics engineering. 
  • 1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments
  • 1+ years of experience with Microsoft AI&Data including hands on experience with Azure AI Foundry.
  • 1+ years of experience leading project workstreams/engagements and translating business problems into AI solutions
  • 1+ years of experience building reliable, maintainable, and well-documented code 
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve
  • Limited immigration sponsorship may be available

Preferred qualifications

  • Experience with cloud environments (AWS, Azure, and/or Google Cloud) and common platform services (storage, compute, IAM, networking)
  • Demonstrated ability to work directly alongside client technical teams and program stakeholders in fast-paced, ambiguous delivery environments 
  • Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation
  • Experience with MLOps/LLMOps practices: evaluation frameworks, model monitoring, and prompt management 
  • Experience integrating LLM solutions with enterprise systems via APIs, microservices, or event-driven architectures 
  • Experience operating within hybrid onshore/offshore teams 
  • Familiarity with security, privacy, and compliance considerations

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $134,500 to $265,100.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Qualifications:

At Deloitte, Forward Deployed Engineers (FDE) don't just build AI solutions, they help clients turn AI ambition into enterprise-scale impact, pairing leading class engineering with pod-based delivery and vertical expertise. If you thrive at the intersection of product, engineering, problem-solving, and client impact, this role puts you at the forefront of AI transformations.

Recruiting for this role ends on 10/30/2026.

Work you'll do

As a Microsoft AI&Data FDE, you will work side by side with senior functional and technical client team members to rapidly prototype and deliver high-impact GenAI-enabled solutions. This requires a highly motivated practitioner who moves with speed and precision, building working software, engaging confidently with senior stakeholders and engineers to bring measurable business impact from day one. Additional responsibilities include:

Client Engagement

  • Embed with clients to identify business needs and translate high-value GenAI use cases into solutions.
  • Partner with leaders, product owners, architects, and engineers to align priorities and delivery.
  • Lead working sessions to shape solutions and drive client outcomes.
  • Prototype and deliver working AI solutions using industry expertise and emerging capabilities.
  • Contribute independently within an FDE pod while mentoring newer team members.

Solution Engineering

  • Build AI-enabled solutions, agentic platforms, and workflows across enterprise AI platforms.
  • Develop scalable AI engineering patterns, tool-use approaches, and human-in-the-loop controls.
  • Apply architecture decisions that balance quality, safety, latency, cost, and model risk.
  • Deliver production-quality code using strong practices in testing, CI/CD, logging, versioning, and documentation.
  • Design extensible functionality, support sprint sizing, and align solutions with senior team members.
  • Contribute reusable assets including code, prompt libraries, runbooks, and reference implementations.


The team

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Required qualifications 

  • Bachelor's degree (or equivalent) in Computer Science, Data Science or Engineering.
  • 3+ years of experience in software engineering, data engineering, data science, or analytics engineering. 
  • 1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments
  • 1+ years of experience with Microsoft AI&Data including hands on experience with Azure AI Foundry.
  • 1+ years of experience leading project workstreams/engagements and translating business problems into AI solutions
  • 1+ years of experience building reliable, maintainable, and well-documented code 
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve
  • Limited immigration sponsorship may be available

Preferred qualifications

  • Experience with cloud environments (AWS, Azure, and/or Google Cloud) and common platform services (storage, compute, IAM, networking)
  • Demonstrated ability to work directly alongside client technical teams and program stakeholders in fast-paced, ambiguous delivery environments 
  • Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation
  • Experience with MLOps/LLMOps practices: evaluation frameworks, model monitoring, and prompt management 
  • Experience integrating LLM solutions with enterprise systems via APIs, microservices, or event-driven architectures 
  • Experience operating within hybrid onshore/offshore teams 
  • Familiarity with security, privacy, and compliance considerations

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $134,500 to $265,100.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Education:Bachelor's DegreeEmployment Type:

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