AI Automation Specialist Jobs
AI Automation Specialist jobs are open across technology, financial services, healthcare, and manufacturing, from entry-level implementation roles to senior architects, with specializations in RPA development, AI workflow design, and intelligent process automation. Scan the live roles below and apply to whichever ones fit.
Find AI Automation Specialist JobsOverview
Showing 5 of 675+ AI Automation Specialist jobs
Posting Details
The successful candidate will teach graduate-level courses in Artificial Intelligence and Machine Learning, with a particular emphasis on applications in Biomedical Sciences, Environmental Science, and Environmental Public Health, as well as undergraduate courses as needed.
We seek an enthusiastic, innovative, and student-centered educator who is passionate about advancing AI education, mentoring students, and applying emerging technologies to real-world scientific and public health challenges.
The selected candidate will have the opportunity to contribute to the University’s new interdisciplinary Master’s program in Artificial Intelligence and Machine Learning for Biomedical and Environmental Health Systems (AIM-BEHS), helping prepare the next generation of professionals to use AI-driven approaches to address critical challenges in healthcare, biomedical research, environmental sustainability, and public health.
- A Ph.D. in Artificial Intelligence, Machine Learning, Data Science, Computer Science, Computational Science, Biomedical Sciences, Environmental Science, Environmental Health, Environmental Public Health, Engineering, or a closely related field by the start date of appointment.
- Demonstrated expertise or a strong academic or research background in AI, Machine Learning, Data Science, or computational methods, with the ability to apply these technologies to biomedical, environmental, or public health challenges.
- Demonstrated ability or strong potential to teach graduate-level courses in Artificial Intelligence, Machine Learning, and related disciplines, including interdisciplinary applications.
- Evidence of scholarly achievement, research experience, or strong potential to develop research projects and engage graduate and undergraduate students in research and applied learning.
- Ability and willingness to collaborate with faculty and researchers from diverse scientific and technical disciplines.
- Strong communication, organizational, and interpersonal skills, with a commitment to effective teaching, student mentorship, and academic excellence.
- Commitment to supporting student success, interdisciplinary education, scholarly activities, and university service.
- Teaching, research, postdoctoral, or relevant industry experience in Artificial Intelligence, Machine Learning, or Data Science.
- Experience with AI/ML tools and programming environments such as Python, R, TensorFlow, PyTorch, or related technologies.
- Experience applying AI/ML techniques to biomedical research, Bioinformatics, healthcare, environmental monitoring, environmental health, or public health data.
- Experience developing interdisciplinary research projects, mentoring students, or collaborating on externally funded research.
- Familiarity with emerging AI technologies, including deep learning, generative AI, and advanced data analytics.
- Interest in contributing to the development and growth of a new interdisciplinary graduate program.
- Curriculum vitae.
- One combined document that includes:
- Cover letter describing teaching and research interests.
- Statement of teaching philosophy.
- Statement of research interests, including plans for student involvement.
- All graduate transcripts (unofficial transcripts are acceptable for initial review).
- Names and contact information for three professional references.
- Three professional reference letters.
Equal Opportunity Statement
Supplemental Questions
Required fields are indicated with an asterisk (*).
Documents Needed To Apply
- Resume
- Cover Letter
- Transcripts
- Letter of Recommendation
- Curriculum Vitae
- Portfolio
Posting Details
The successful candidate will teach graduate-level courses in Artificial Intelligence and Machine Learning, with a particular emphasis on applications in Biomedical Sciences, Environmental Science, and Environmental Public Health, as well as undergraduate courses as needed.
We seek an enthusiastic, innovative, and student-centered educator who is passionate about advancing AI education, mentoring students, and applying emerging technologies to real-world scientific and public health challenges.
The selected candidate will have the opportunity to contribute to the University’s new interdisciplinary Master’s program in Artificial Intelligence and Machine Learning for Biomedical and Environmental Health Systems (AIM-BEHS), helping prepare the next generation of professionals to use AI-driven approaches to address critical challenges in healthcare, biomedical research, environmental sustainability, and public health.
- A Ph.D. in Artificial Intelligence, Machine Learning, Data Science, Computer Science, Computational Science, Biomedical Sciences, Environmental Science, Environmental Health, Environmental Public Health, Engineering, or a closely related field by the start date of appointment.
- Demonstrated expertise or a strong academic or research background in AI, Machine Learning, Data Science, or computational methods, with the ability to apply these technologies to biomedical, environmental, or public health challenges.
- Demonstrated ability or strong potential to teach graduate-level courses in Artificial Intelligence, Machine Learning, and related disciplines, including interdisciplinary applications.
- Evidence of scholarly achievement, research experience, or strong potential to develop research projects and engage graduate and undergraduate students in research and applied learning.
- Ability and willingness to collaborate with faculty and researchers from diverse scientific and technical disciplines.
- Strong communication, organizational, and interpersonal skills, with a commitment to effective teaching, student mentorship, and academic excellence.
- Commitment to supporting student success, interdisciplinary education, scholarly activities, and university service.
- Teaching, research, postdoctoral, or relevant industry experience in Artificial Intelligence, Machine Learning, or Data Science.
- Experience with AI/ML tools and programming environments such as Python, R, TensorFlow, PyTorch, or related technologies.
- Experience applying AI/ML techniques to biomedical research, Bioinformatics, healthcare, environmental monitoring, environmental health, or public health data.
- Experience developing interdisciplinary research projects, mentoring students, or collaborating on externally funded research.
- Familiarity with emerging AI technologies, including deep learning, generative AI, and advanced data analytics.
- Interest in contributing to the development and growth of a new interdisciplinary graduate program.
- Curriculum vitae.
- One combined document that includes:
- Cover letter describing teaching and research interests.
- Statement of teaching philosophy.
- Statement of research interests, including plans for student involvement.
- All graduate transcripts (unofficial transcripts are acceptable for initial review).
- Names and contact information for three professional references.
- Three professional reference letters.
Equal Opportunity Statement
Supplemental Questions
Required fields are indicated with an asterisk (*).
Documents Needed To Apply
- Resume
- Cover Letter
- Transcripts
- Letter of Recommendation
- Curriculum Vitae
- Portfolio
See All 675+ AI Automation Specialist Jobs
Find roles that match your experience and apply in just a few clicks.
Find AI Automation Specialist JobsAI Automation Specialist Job Market
Who's Hiring
- JPMorganChase13
- Booz Allen Hamilton12
- Johns Hopkins University Applied Physics Laboratory9
- Amazon8
- AMD7
Top Industries Hiring
- Technology & Software18
- Banking & Financial Services11
- Education10
- Healthcare & Medical Services5
- Investment & Asset Management4
What Employers Look For
The qualifications that appear most often in AI automation specialist jobs.
- Hands-on experience with at least one major RPA platform such as UiPath, Automation Anywhere, or Power Automate
- Proficiency in Python or another scripting language for custom automation and API integrations
- Ability to analyze and document business processes before designing automation solutions
- Experience connecting automation workflows to enterprise systems including CRM, ERP, and cloud services
- Familiarity with AI and machine learning components such as natural language processing or computer vision within automation pipelines
- Bachelor's degree in computer science, information systems, or a related technical field, or equivalent hands-on experience
Tips for Your AI Automation Specialist Job Search
Tailor your resume to automation stacks
Hiring managers scan for specific tools, so list the platforms you've deployed alongside measurable outcomes. Name the RPA platforms, orchestration tools, and AI frameworks you've used in real projects, not just categories like 'automation software.'
Build a portfolio of automation projects
A GitHub repo or project writeup showing a live workflow you built from requirements to deployment tells employers far more than a job title can. Document the business problem, the tool you chose, and the outcome you measured.
Apply early to roles that fit
Migrate Mate lists ai automation specialist openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Target job titles beyond the obvious label
Many ai automation specialist roles are posted under titles like RPA Developer, Intelligent Automation Engineer, or Process Automation Analyst. Search those variants so you don't miss openings that match your skills exactly.
Prepare a live demo for technical screens
Interviewers for automation roles frequently ask you to walk through a workflow you built or to design one on the spot. Bring a short screen recording or a shareable sandbox so you can show, not just tell, how you approach a build.
Negotiate scope alongside compensation
Automation roles vary widely in whether you own strategy, implementation, or both. Before accepting an offer, clarify what tools you'll work with, whether you'll have input on process selection, and how success is measured in the first year.
AI Automation Specialist Jobs: Frequently Asked Questions
Which companies are hiring the most ai automation specialists?
JPMorganChase, Booz Allen Hamilton, and Johns Hopkins University Applied Physics Laboratory are hiring the most ai automation specialists right now, with openings concentrated in California, Texas, and Virginia, based on current listings on Migrate Mate as of November 2026. Demand is especially strong in financial services, healthcare operations, and enterprise technology services.
How many ai automation specialist jobs are remote?
About 67% of ai automation specialist openings are fully remote or hybrid as of November 2026, reflecting strong employer comfort with distributed automation work. Roles focused on building and maintaining cloud-based workflows tend to be the most remote-friendly, while positions requiring on-site process discovery or change management more often require a physical presence.
How do you become a ai automation specialist?
Start by building a foundation in a scripting language like Python and completing hands-on training in at least one RPA platform. Work through vendor certification programs to formalize your credentials, then build real projects, even personal or volunteer ones, that you can show employers. Apply to entry-level automation analyst or junior RPA developer roles to gain production experience, and expand into AI integrations and process consulting as your portfolio grows.
How do you get hired as an ai automation specialist with little experience?
Focus on earning a recognized platform certification, such as those offered by major RPA vendors, and build two or three portfolio projects that automate real tasks you can describe end to end. Apply to roles titled automation analyst, process improvement associate, or junior RPA developer, which often have lower experience bars than specialist titles. Demonstrating that you can read a process map, pick an appropriate tool, and document a working solution matters more to most hiring managers than years of tenure.
What does the ai automation specialist interview process look like?
Most hiring processes start with a recruiter screen focused on your tool experience and the types of processes you've automated. A technical round follows, usually involving a workflow design exercise or a live walkthrough of something you've built. Final rounds typically include a conversation with a process owner or business stakeholder to assess whether you can translate business requirements into an automation brief without heavy IT support.
Where can I find and apply to ai automation specialist jobs?
You can find and apply to ai automation specialist jobs on Migrate Mate, which lists current openings from across the United States. Search for roles that match your tool experience and seniority level, then apply directly to each listing that fits.
See All 675+ AI Automation Specialist Jobs
Find roles that match your experience and apply in just a few clicks.
Find AI Automation Specialist Jobs