Entry Level AI Specialist Jobs
New grad ai specialist jobs are open to recent graduates and entry level candidates with zero to two years of experience, where a strong portfolio or hands-on internship work can matter more than a long resume. Most openings mix on-site and remote settings across Technology & Software, Education, and Insurance, with employers like Ramp, WilmerHale, and Highmark Health hiring at this level now.
Find JobsOverview
Showing 5 of 54+ Entry Level AI Specialist jobs
With more than 45,000 employees and partners worldwide, the Customer Experience and Success (CE&S) organization is on a mission to empower customers to accelerate business value through differentiated customer experiences that leverage Microsoft's products and services, ignited by our people and culture. We drive cross-company alignment and execution, ensuring that we consistently exceed customers' expectations in every interaction, whether in-product, digital, or human-centered. CE&S is responsible for all up services across the company, including consulting, customer success, and support across Microsoft's portfolio of solutions and products. Join CE&S and help us accelerate AI transformation for our customers and the world.
As part of the Experience Innovation Office team within CE&S, you'll help set the operational strategy and drive execution for technology initiatives impacting our front-line customer-facing roles, including Support Engineers, Supervisors, Customer Success Managers, and Professional Services professionals. You'll be part of a group that connects business strategy to delivery execution, optimizing systems for efficiency and impact, and ensuring our organization is ready for the future of AI-powered customer engagement.
We are looking for a Technical Solution Management Specialist (TSM) - AI Evaluation, Research, and Technical Architecture Function to help establish the XIO AI Innovation Lab as a focused pre 0-to-1 research, validation, and handoff capability for CE&S AI innovation. This role is responsible for translating emerging AI signals, customer needs, Nebula/KM opportunities, and frontier technology patterns into validated research, reference architectures, evaluation plans, and Test Kitchen-ready Proof of Concept candidates.
The TSM will implement a unified framework for hypothesis-driven research, comprehensive evaluation, rigorous testing, safe experimentation, and reusable publication while working closely with portfolio, engineering, data science, business, governance, and prototyping teams.
This role will be pivotal in transforming how CE&S evaluates early AI opportunities by ensuring candidate solutions are researched, responsibly evaluated, technically grounded, and packaged for downstream prototyping or product engagement only when the evidence supports it. The TSM will work at the intersection of technology, business, research, and governance, driving innovation while safeguarding customer and employee experiences.
The primary work location for this position is Redmond, Washington, with a hybrid work requirement of three days per week in the office. However, this role is also open to candidates located anywhere in the United States and may be performed remotely.
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
Strategic Planning & Vision
- Define and communicate a future-state vision for AI evaluation, research quality, and technical architecture across the XIO AI Innovation Lab.
- Develop and maintain technical blueprints for research, validation, evaluation, experimentation, and Test Kitchen-ready handoff capabilities.
- Define and maintain related processes and playbooks for scaling pre 0-to-1 motions using the lab flow: Signal -> Research -> Validation -> Research Paper -> PoC Candidate -> Test Kitchen.
- Influence technical roadmaps for consistent product evaluation frameworks and tooling.
- Track best practices, Microsoft product updates, frontier AI research, and emerging AI trends to inform lab strategy and publication direction.
- Ensure alignment of evaluation frameworks with business priorities and Responsible AI standards.
Technical Roadmapping & Execution
- Build and scale multi-dimensional evaluation approaches for diverse lab-stage AI workloads, including chatbots, customer self-service agents, predictive models, and generative tools.
- Develop automated testing frameworks, including synthetic scenario generation, adversarial stress-testing, and batch evaluation.
- Implement lab-appropriate experimentation patterns, including offline evaluation, synthetic scenario testing, feature-flagged trials where appropriate, and monitoring plans for downstream PoC owners.
- Partner with engineering, data science, and prototyping teams to integrate evaluation tools into prototype scaffolds, CI/CD pipelines where relevant, and Test Kitchen handoff plans.
- Develop reference architectures, data needs assessments, secure data pipeline considerations, hosting-model options, and reusable solution patterns for candidate AI solutions.
- Package validated research into PoC candidate artifacts with value proposition, evidence, architecture, evaluation plan, governance considerations, and owner model.
Cross-Functional Program Management
- Coordinate across business, technical, and governance teams to ensure successful delivery of evaluation programs.
- Help establish and operate the XIO AI Innovation Lab as a lightweight research and validation capability, acting as a consultant and trainer for project teams.
- Drive organizational adoption of best practices, shared infrastructure, common metrics, research publication standards, and Test Kitchen handoff discipline.
- Support focused leadership alignment, research reviews, Demo Showcase updates, and handoffs to prototyping or product teams without slowing early-stage research autonomy.
Customer Experience & UX Research
- Apply UX research principles to understand lived experiences and translate insights into actionable improvements for AI solutions.
- Collaborate with domain experts, support engineers, CSU/account managers/CSAMs, and business owners to define success criteria and evaluation rubrics.
- Lead direct customer and field-team engagements and collect performance metrics to inform continuous improvement and readiness for PG engagement.
Governance & Responsible AI
- Integrate Responsible AI evaluations, safety, ethics, and compliance checks into all testing and experimentation processes.
- Manage gate reviews, documentation, risk findings, and RAI oversight appropriate to lab-stage research and Test Kitchen handoff readiness.
- Foster a culture of "fail fast, learn fast" with accountability and continuous improvement.
Other
- Embody our culture and values.
Qualifications
Required/Minimum Qualifications
Bachelor's Degree AND 4+ years experience in technical program management, preferably in AI, machine learning, research, data science, technical architecture, or customer experience domains.
- OR equivalent experience.
2+ years of experience managing cross-functional and/or cross-team projects.
Additional or Preferred Qualifications
- Bachelor's Degree AND 8+ years experience in technical program management, preferably in AI, machine learning, research, data science, technical architecture, or customer experience domains
- OR product development
- OR equivalent experience.
- 6+ years of experience managing cross-functional and/or cross-team projects.
- 1+ year(s) of experience reading and/or writing code (e.g., sample documentation, product demos).
- Proven track record of AI evaluation, testing methodologies, and performance metrics.
- Experience with automated testing pipelines, synthetic data generation, and A/B experimentation.
- Familiarity with Responsible AI frameworks, governance, and compliance standards.
- Demonstrated ability to produce research papers, decision-grade technical artifacts, reference architectures, or reusable solution patterns.
- Ability to adapt strategy based on emerging technology trends, frontier AI research, customer signals, and industry research.
- Comfort operating in ambiguous pre 0-to-1 environments and moving work from research to prototype-ready handoff.
Technical Solution Management IC4 - The typical base pay range for this role across the U.S. is USD $97,600 - $188,400 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 $125,000 - $206,400 per year.
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.
With more than 45,000 employees and partners worldwide, the Customer Experience and Success (CE&S) organization is on a mission to empower customers to accelerate business value through differentiated customer experiences that leverage Microsoft's products and services, ignited by our people and culture. We drive cross-company alignment and execution, ensuring that we consistently exceed customers' expectations in every interaction, whether in-product, digital, or human-centered. CE&S is responsible for all up services across the company, including consulting, customer success, and support across Microsoft's portfolio of solutions and products. Join CE&S and help us accelerate AI transformation for our customers and the world.
As part of the Experience Innovation Office team within CE&S, you'll help set the operational strategy and drive execution for technology initiatives impacting our front-line customer-facing roles, including Support Engineers, Supervisors, Customer Success Managers, and Professional Services professionals. You'll be part of a group that connects business strategy to delivery execution, optimizing systems for efficiency and impact, and ensuring our organization is ready for the future of AI-powered customer engagement.
We are looking for a Technical Solution Management Specialist (TSM) - AI Evaluation, Research, and Technical Architecture Function to help establish the XIO AI Innovation Lab as a focused pre 0-to-1 research, validation, and handoff capability for CE&S AI innovation. This role is responsible for translating emerging AI signals, customer needs, Nebula/KM opportunities, and frontier technology patterns into validated research, reference architectures, evaluation plans, and Test Kitchen-ready Proof of Concept candidates.
The TSM will implement a unified framework for hypothesis-driven research, comprehensive evaluation, rigorous testing, safe experimentation, and reusable publication while working closely with portfolio, engineering, data science, business, governance, and prototyping teams.
This role will be pivotal in transforming how CE&S evaluates early AI opportunities by ensuring candidate solutions are researched, responsibly evaluated, technically grounded, and packaged for downstream prototyping or product engagement only when the evidence supports it. The TSM will work at the intersection of technology, business, research, and governance, driving innovation while safeguarding customer and employee experiences.
The primary work location for this position is Redmond, Washington, with a hybrid work requirement of three days per week in the office. However, this role is also open to candidates located anywhere in the United States and may be performed remotely.
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
Strategic Planning & Vision
- Define and communicate a future-state vision for AI evaluation, research quality, and technical architecture across the XIO AI Innovation Lab.
- Develop and maintain technical blueprints for research, validation, evaluation, experimentation, and Test Kitchen-ready handoff capabilities.
- Define and maintain related processes and playbooks for scaling pre 0-to-1 motions using the lab flow: Signal -> Research -> Validation -> Research Paper -> PoC Candidate -> Test Kitchen.
- Influence technical roadmaps for consistent product evaluation frameworks and tooling.
- Track best practices, Microsoft product updates, frontier AI research, and emerging AI trends to inform lab strategy and publication direction.
- Ensure alignment of evaluation frameworks with business priorities and Responsible AI standards.
Technical Roadmapping & Execution
- Build and scale multi-dimensional evaluation approaches for diverse lab-stage AI workloads, including chatbots, customer self-service agents, predictive models, and generative tools.
- Develop automated testing frameworks, including synthetic scenario generation, adversarial stress-testing, and batch evaluation.
- Implement lab-appropriate experimentation patterns, including offline evaluation, synthetic scenario testing, feature-flagged trials where appropriate, and monitoring plans for downstream PoC owners.
- Partner with engineering, data science, and prototyping teams to integrate evaluation tools into prototype scaffolds, CI/CD pipelines where relevant, and Test Kitchen handoff plans.
- Develop reference architectures, data needs assessments, secure data pipeline considerations, hosting-model options, and reusable solution patterns for candidate AI solutions.
- Package validated research into PoC candidate artifacts with value proposition, evidence, architecture, evaluation plan, governance considerations, and owner model.
Cross-Functional Program Management
- Coordinate across business, technical, and governance teams to ensure successful delivery of evaluation programs.
- Help establish and operate the XIO AI Innovation Lab as a lightweight research and validation capability, acting as a consultant and trainer for project teams.
- Drive organizational adoption of best practices, shared infrastructure, common metrics, research publication standards, and Test Kitchen handoff discipline.
- Support focused leadership alignment, research reviews, Demo Showcase updates, and handoffs to prototyping or product teams without slowing early-stage research autonomy.
Customer Experience & UX Research
- Apply UX research principles to understand lived experiences and translate insights into actionable improvements for AI solutions.
- Collaborate with domain experts, support engineers, CSU/account managers/CSAMs, and business owners to define success criteria and evaluation rubrics.
- Lead direct customer and field-team engagements and collect performance metrics to inform continuous improvement and readiness for PG engagement.
Governance & Responsible AI
- Integrate Responsible AI evaluations, safety, ethics, and compliance checks into all testing and experimentation processes.
- Manage gate reviews, documentation, risk findings, and RAI oversight appropriate to lab-stage research and Test Kitchen handoff readiness.
- Foster a culture of "fail fast, learn fast" with accountability and continuous improvement.
Other
- Embody our culture and values.
Qualifications
Required/Minimum Qualifications
Bachelor's Degree AND 4+ years experience in technical program management, preferably in AI, machine learning, research, data science, technical architecture, or customer experience domains.
- OR equivalent experience.
2+ years of experience managing cross-functional and/or cross-team projects.
Additional or Preferred Qualifications
- Bachelor's Degree AND 8+ years experience in technical program management, preferably in AI, machine learning, research, data science, technical architecture, or customer experience domains
- OR product development
- OR equivalent experience.
- 6+ years of experience managing cross-functional and/or cross-team projects.
- 1+ year(s) of experience reading and/or writing code (e.g., sample documentation, product demos).
- Proven track record of AI evaluation, testing methodologies, and performance metrics.
- Experience with automated testing pipelines, synthetic data generation, and A/B experimentation.
- Familiarity with Responsible AI frameworks, governance, and compliance standards.
- Demonstrated ability to produce research papers, decision-grade technical artifacts, reference architectures, or reusable solution patterns.
- Ability to adapt strategy based on emerging technology trends, frontier AI research, customer signals, and industry research.
- Comfort operating in ambiguous pre 0-to-1 environments and moving work from research to prototype-ready handoff.
Technical Solution Management IC4 - The typical base pay range for this role across the U.S. is USD $97,600 - $188,400 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 $125,000 - $206,400 per year.
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.
See All 54 Entry Level AI Specialist Jobs
Find roles that match your experience and apply in just a few clicks.
Find JobsEntry Level AI Specialist Job Market
Who's Hiring
- Ramp2
- WilmerHale2
- Highmark Health2
- Amazon Web Services2
- University of Florida2
Top Industries Hiring
- Technology & Software16
- Education7
- Insurance5
- Manufacturing4
- Consulting & Professional Services4
Entry Level AI Specialist Jobs: Frequently Asked Questions
How do I get an entry level ai specialist job?
Entry level ai specialist employers look for demonstrated hands-on ability over years of experience. A portfolio of personal or academic projects, familiarity with Python and machine learning frameworks like TensorFlow or PyTorch, and any internship or research experience will carry significant weight. Bootcamp graduates and self-taught candidates who can show working models or Kaggle competition results are competitive at this stage.
Which companies hire entry level ai specialists?
Companies hiring entry level ai specialists right now include Ramp, WilmerHale, and Highmark Health, based on current listings on Migrate Mate as of July 2026. Hiring at this level comes from a mix of large technology firms, AI-focused startups, and enterprise companies building out their first dedicated AI teams.
Are there remote entry level ai specialist jobs?
Yes, though availability varies by employer and team. About 27% of entry level ai specialist openings are remote or hybrid as of July 2026, making this one of the more flexible fields for candidates who need location flexibility. On-site roles still exist, particularly at startups and companies that prefer in-person collaboration for early-career hires.
Are these new grad ai specialist jobs?
Yes, many of these postings are new grad roles that explicitly welcome recent graduates and junior candidates with little or no professional experience. A new grad-friendly posting typically lists zero to two years of experience as sufficient, accepts internships or academic projects in place of full-time work history, and values a strong portfolio over a lengthy resume. Junior and associate-level titles signal the same entry point.
Which industries hire the most entry level ai specialists?
Entry Level ai specialist roles concentrate in Technology & Software, Education, and Insurance, based on current listings on Migrate Mate as of July 2026. These sectors are expanding their AI teams rapidly and are among the most willing to bring in entry level talent because demand for skilled practitioners outpaces the available experienced candidate pool.