Mid Level AI Jobs
Mid level ai jobs go to practitioners ready to own projects end to end, drive model decisions with limited oversight, and mentor the engineers around them. 13% of openings are remote or hybrid across Education, Technology & Software, and Banking & Financial Services, with JPMorganChase, Goldman Sachs, and Villanova University hiring at this level now.
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INTRODUCTION
The Artificial Intelligence Engineer designs, develops, evaluates, and supports artificial intelligence and machine learning solutions across Upstate Academic Medical Center. This position translates clinical, operational, academic, and administrative needs into practical technical solutions, including natural language processing applications, generative AI, and machine learning tools.
The Artificial Intelligence Engineer collaborates with subject matter experts, data teams, cloud and infrastructure teams, and organizational leadership throughout the AI solution lifecycle, from use-case definition and technical feasibility assessment through development, validation, implementation, and monitoring. The position also evaluates externally developed AI technologies for safety and suitability at Upstate.
This role works closely with IMTs AI Governance Lead and other appropriate stakeholders to ensure that AI solutions are transparent, secure, appropriately validated, and implemented in alignment with Upstate's mission, vision, values, policies, and applicable laws and regulations.
ROLE AND RESPONSIBILITIES
Minimum Qualifications:
- Bachelor's degree in computer science, data science, artificial intelligence, engineering, statistics, mathematics, information systems, or another technical or data-driven field.
- 5+ years of relevant experience in artificial intelligence, machine learning, data science, software development, advanced analytics, or a related field.
- 2+ years programming experience in Python or C/C++/C# required.
- Demonstrated experience designing, developing, and evaluating artificial intelligence solutions.
- Proficiency in Python or another programming language commonly used for AI, machine learning, data analysis, or software development.
- Experience with natural language processing, machine learning techniques, model validation, and performance evaluation.
- Experience working with structured and unstructured data using data-processing and analytical libraries or platforms.
- Understanding of software-development practices, including source control, code documentation, testing, dependency management, and development across multiple environments.
- Ability to investigate technical problems, evaluate alternative approaches, and develop practical solutions involving data, models, applications, and system integrations.
Preferred Qualifications:
- Master's degree in computer science, data science, artificial intelligence, engineering, statistics, mathematics, informatics, or a related field.
- Experience with Microsoft Azure suite of AI Tools, Microsoft Fabric, Power Platform, Copilot Studio, Azure DevOps or comparable technologies.
- Prior work with healthcare data, including clinical, operational, claims, electronic health record, or healthcare administrative data.
- Familiarity with healthcare privacy, security, regulatory, and governance requirements, including appropriate handling of protected health information.
- Experience integrating technical solutions into established clinical, operational, academic, or administrative workflows.
- Willingness to learn Python programming language if not already proficient.
Work Days:
M - F 8 - 4:30
Message to Applicants:
Applicants must live within a reasonable commuting distance for regular on-campus requirements.
Recruitment Office: Human Resources
We are an Equal Opportunity Employer.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran status or disability or other protected classes under State and Federal law.
INTRODUCTION
The Artificial Intelligence Engineer designs, develops, evaluates, and supports artificial intelligence and machine learning solutions across Upstate Academic Medical Center. This position translates clinical, operational, academic, and administrative needs into practical technical solutions, including natural language processing applications, generative AI, and machine learning tools.
The Artificial Intelligence Engineer collaborates with subject matter experts, data teams, cloud and infrastructure teams, and organizational leadership throughout the AI solution lifecycle, from use-case definition and technical feasibility assessment through development, validation, implementation, and monitoring. The position also evaluates externally developed AI technologies for safety and suitability at Upstate.
This role works closely with IMTs AI Governance Lead and other appropriate stakeholders to ensure that AI solutions are transparent, secure, appropriately validated, and implemented in alignment with Upstate's mission, vision, values, policies, and applicable laws and regulations.
ROLE AND RESPONSIBILITIES
Minimum Qualifications:
- Bachelor's degree in computer science, data science, artificial intelligence, engineering, statistics, mathematics, information systems, or another technical or data-driven field.
- 5+ years of relevant experience in artificial intelligence, machine learning, data science, software development, advanced analytics, or a related field.
- 2+ years programming experience in Python or C/C++/C# required.
- Demonstrated experience designing, developing, and evaluating artificial intelligence solutions.
- Proficiency in Python or another programming language commonly used for AI, machine learning, data analysis, or software development.
- Experience with natural language processing, machine learning techniques, model validation, and performance evaluation.
- Experience working with structured and unstructured data using data-processing and analytical libraries or platforms.
- Understanding of software-development practices, including source control, code documentation, testing, dependency management, and development across multiple environments.
- Ability to investigate technical problems, evaluate alternative approaches, and develop practical solutions involving data, models, applications, and system integrations.
Preferred Qualifications:
- Master's degree in computer science, data science, artificial intelligence, engineering, statistics, mathematics, informatics, or a related field.
- Experience with Microsoft Azure suite of AI Tools, Microsoft Fabric, Power Platform, Copilot Studio, Azure DevOps or comparable technologies.
- Prior work with healthcare data, including clinical, operational, claims, electronic health record, or healthcare administrative data.
- Familiarity with healthcare privacy, security, regulatory, and governance requirements, including appropriate handling of protected health information.
- Experience integrating technical solutions into established clinical, operational, academic, or administrative workflows.
- Willingness to learn Python programming language if not already proficient.
Work Days:
M - F 8 - 4:30
Message to Applicants:
Applicants must live within a reasonable commuting distance for regular on-campus requirements.
Recruitment Office: Human Resources
We are an Equal Opportunity Employer.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran status or disability or other protected classes under State and Federal law.
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Who's Hiring
Top Industries Hiring
- Education
- Technology & Software
- Banking & Financial Services
- Investment & Asset Management
- Fintech
Mid Level AI Jobs: Frequently Asked Questions
How do I get a mid level ai job?
Position yourself around ownership, not just contribution. Highlight projects where you made architectural or modeling decisions, not just tasks you completed under direction. Lead with measurable outcomes, such as accuracy improvements or latency reductions you drove. In your application, show you can scope work, communicate tradeoffs to stakeholders, and unblock teammates without being asked.
Which companies hire mid level ais?
Companies hiring mid level ais right now include JPMorganChase, Goldman Sachs, and Villanova University, based on current listings on Migrate Mate as of November 2026. Hiring at this level comes from a wide range of employers, including large tech companies, data-driven consumer businesses, and specialized AI product teams that need engineers who can ship production systems independently.
Are there remote mid level ai jobs?
Yes, remote and hybrid options are common at this experience level. About 13% of mid level ai openings are remote or hybrid as of November 2026, reflecting how mature distributed engineering practices have become across AI teams. On-site roles still exist, particularly at companies building proprietary hardware or working with sensitive data.
How do I move up to a mid level ai role?
The path from entry level to mid level is built on demonstrated ownership over time. That means progressing from completing assigned tasks to scoping and shipping features independently, building a specialty in an area like NLP, computer vision, or MLOps, and showing measurable impact in your work. Engineers who document what they built, what broke, and what they learned accelerate this progression.
Which industries hire the most mid level ais?
Mid level ai roles concentrate in Education, Technology & Software, and Banking & Financial Services, based on current listings on Migrate Mate as of November 2026. These sectors hire heavily at the mid level because they have enough production AI infrastructure to need engineers who can maintain, improve, and expand existing systems rather than build from scratch.