AI Specialist Jobs
AI Specialist jobs are open across technology, healthcare, finance, and manufacturing, from entry-level analyst to principal and director, with specializations in machine learning engineering, natural language processing, and computer vision. Find a role that fits from the openings below and apply directly.
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Are you passionate about AI and eager to transform the IT landscape? Join our dynamic Cloud & AI team as we lead the charge in AI transformation! As trusted advisors, we help customers modernize their infrastructure, optimize operations, and drive innovation with Cloud & AI's cutting-edge AI capabilities. Whether it's migrating and modernizing estates to be AI-ready, accelerating innovation with AI agents and platforms, empowering development teams with AI, or unifying and modernizing data estates, we help customers build technology solutions to achieve their business needs.
In this role, you'll be at the forefront of AI growth and disruption, guiding customers through their AI journey and helping them achieve their strategic goals. You'll ensure customers can fully harness the transformative potential of AI to stay ahead of the competition. If you're ready to make a significant impact and drive AI transformation, we invite you to join us and be part of this exciting journey!
At Small Medium Enterprises and Channel (SME&C), we are leading a high-growth, AI-powered global sales team—one that is deeply connected to our partners and driven by customer success. By uniting our Small Medium Business, Corporate, Strategy, and Partner teams, we are unlocking the largest customer opportunity, backed by the industry’s most significant investments. Leveraging the power of AI and our extensive partner ecosystem, we are redefining how businesses of all sizes adopt technology to drive growth and innovation.
SME&C is more than a sales organization—it’s a culture of innovation, opportunity, and inclusivity. Here, you’ll be part of a diverse, high-performing, and customer-obsessed team where collaboration, connection, and continuous learning fuel everything we do.
If you thrive in a fast-paced, digital-first environment and are eager to make a meaningful impact, explore how SME&C can be the next step in your career. Together, we are shaping the future of business.
As a Cloud & AI Digital Solution Area Specialist you will be a solution sales leader within our mid-market sales organization working with our most important customers. You will collaborate with a team of technical, partner, and consulting resources to advance the sales process and exceed quarterly Cloud & AI revenue targets in your assigned accounts.
This opportunity will allow you to:
- Accelerate your career growth by leading high-impact Cloud and AI Solution Plays across diverse industries and engaging in strategic customer conversations.
- Hone your technical and consultative selling skills through deep engagements with customers and partners, while building confidence in solution design and execution.
- Develop deep business acumen by aligning cloud strategies with customer transformation goals and success metrics, and by participating in immersive learning experiences.
- Strengthen your leadership and influence by collaborating across teams, contributing to a culture of innovation, and sharing best practices.
- Build future-ready capabilities through certifications, hands-on workshops, and continuous learning in cloud and AI technologies.
Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Responsibilities
Lead Customer Engagements: Act as the Cloud & AI Digital Solution Area Specialist, guiding customers through cloud transformation across infrastructure, data, and AI platforms. Address business and technical needs with demos, whiteboarding, and solution storytelling.
Own and Convert Pipeline: Manage forecast and pipeline from early-stage to close. Use tools like Industry Account Plans (IAP), Landing Experience Plans (LXP), and checklists to execute territory planning and strategies and drive revenue.
Orchestrate Across Teams: Partner with Account Executives, Solution Engineers, Cloud Solution Architects, and partners to co-sell, validate solutions, and ensure successful deployment through the Cloud & AI Marketplace.
Accelerate Decisions: Engage decision-makers with clear business cases using Cloud & AI Pricing Calculator, ROI, and TCO tools. Scope proofs of concept and lead customers from commitment to consumption.
Inspire and Influence: Bring technical fluency and inclusive leadership to virtual teams. Solve challenges with expertise in virtualization, cloud-native tech, data modernization, and AI.
Qualifications
Required/minimum qualifications
Additional or preferred qualifications
Digital Solution Area Specialists IC3 - The typical base pay range for this role across the U.S. is USD $31.15 - $64.95 per hour. 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 $48.37 - $69.18 per hour.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
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.
AI Specialist Jobs by Experience Level
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Find AI Specialist JobsAI Specialist Job Market
Who's Hiring
- Meridial142

- Amazon Web Services61

- Booz Allen Hamilton13

- JPMorganChase10

- Johns Hopkins University Applied Physics Laboratory9

Top Industries Hiring
- Technology & Software41
- Education13
- Banking & Financial Services11
- Electronics & Hardware9
- Investment & Asset Management6
What Employers Look For
The qualifications that appear most often in AI specialist jobs.
- Proficiency in Python and machine learning frameworks such as PyTorch or TensorFlow
- Experience designing, training, and deploying machine learning or deep learning models
- Familiarity with cloud platforms such as AWS, Google Cloud, or Azure for model serving
- Strong foundation in statistics, linear algebra, and probability theory
- Experience with MLOps tools for model versioning, monitoring, and pipeline automation
- Bachelor's or master's degree in computer science, data science, or a related quantitative field
Tips for Your AI Specialist Job Search
Tailor your resume to model types
Hiring managers scan for the specific model architectures you've worked with, such as transformer-based LLMs, diffusion models, or reinforcement learning systems. Name them explicitly in your experience bullets rather than describing AI work in general terms.
Show production deployments, not just experiments
Recruiters for ai specialist roles want evidence that your models left a notebook and ran in production. Quantify throughput, latency improvements, or error-rate reductions from deployed systems rather than listing Kaggle competitions or coursework projects.
Filter openings by the ML stack they use
Many ai specialist postings bury their required tools in the middle of a long description. Search by framework names like PyTorch, TensorFlow, or Hugging Face alongside the job title to surface roles that actually match your hands-on experience.
Apply early to roles that fit
Migrate Mate lists ai specialist openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Prepare a system design answer for AI pipelines
Most senior ai specialist interviews include a whiteboard or verbal exercise where you design a full ML pipeline from data ingestion to serving. Practice explaining data versioning, feature stores, model registries, and monitoring layers before your first technical screen.
Negotiate on compute access, not just salary
AI specialists often find that GPU cluster access, cloud budget, and dataset licensing matter more to day-to-day productivity than title alone. Ask about compute resources and data infrastructure before accepting an offer so you know what you're actually working with.
AI Specialist Jobs: Frequently Asked Questions
Which companies are hiring the most ai specialists?
The companies hiring the most ai specialists right now include Meridial, Amazon Web Services, and Booz Allen Hamilton, with the largest share of openings in Texas, California, and New York, based on current listings on Migrate Mate as of September 2026. Demand is concentrated in technology, financial services, and healthcare, though manufacturing and logistics employers are adding ai specialist roles at a growing pace.
How many ai specialist jobs are remote?
About 74% of ai specialist openings are fully remote or hybrid as of September 2026, making it one of the more location-flexible technical roles available. Research, NLP engineering, and model evaluation work tends to be most remote-friendly, while roles involving proprietary on-premise hardware or regulated data environments are more likely to require on-site presence.
How do you become an ai specialist?
Start by building a strong foundation in Python, linear algebra, and probability, then work through core machine learning concepts using open datasets to develop real projects you can show. Pursue a degree or structured program in computer science or data science if you haven't already, add hands-on experience with frameworks like PyTorch or TensorFlow, and document at least one end-to-end deployment in a public portfolio before applying.
Can you get hired as an ai specialist with little or no experience?
Entry-level ai specialist roles exist, but they typically require demonstrated technical ability even without a long work history. Build a portfolio of self-directed projects that show model training, evaluation, and deployment rather than just course completions. Target companies with dedicated ML infrastructure teams where junior specialists have structured mentorship, and apply to roles explicitly labeled associate, junior, or entry-level rather than generic ai specialist postings aimed at mid-career candidates.
What does the ai specialist interview process look like?
Most ai specialist interviews begin with a recruiter screen focused on your background and the role, followed by a technical phone screen covering Python, statistics, and ML fundamentals. Later rounds typically include a take-home or live coding exercise involving model training or evaluation, a system design session where you architect an ML pipeline, and a final round with cross-functional stakeholders or senior engineers who assess research judgment and communication.
Where can I find and apply to ai specialist jobs?
You can find and apply to ai specialist jobs on Migrate Mate, which lists current openings from employers across the United States. Search the listings to find roles that match your skills and experience, then apply directly to each one that fits.
See All 730+ AI Specialist Jobs
Find roles that match your experience and apply in just a few clicks.
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