Mid Level AI Team Lead Jobs
Mid level ai team lead jobs go to professionals ready to own AI initiatives end to end, mentor junior teammates, and shape technical direction without waiting for every decision to be made above them. Openings are distributed across Education, Banking & Financial Services, and Investment & Asset Management, with a mix of on-site, remote, and hybrid settings, and employers like JPMorganChase, Goldman Sachs, and Villanova University hiring at this level now.
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Showing 5 of 6+ Mid Level AI Team Lead jobs
- Syracuse
- Information Management & Technology
- Full-time
- Opening on: Oct 14 2026
- IMT-Moonshot
- State of New York
- Senior Programmer/Analyst, NSSL4
- 90856
Job Summary:
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 Upstates mission, vision, values, policies, and applicable laws and regulations.
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.
- Syracuse
- Information Management & Technology
- Full-time
- Opening on: Oct 14 2026
- IMT-Moonshot
- State of New York
- Senior Programmer/Analyst, NSSL4
- 90856
Job Summary:
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 Upstates mission, vision, values, policies, and applicable laws and regulations.
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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Mid Level AI Team Lead Jobs: Frequently Asked Questions
How do I get a mid level ai team lead job?
Position yourself around ownership, not just contribution. Highlight projects where you led the work, made architectural or modeling decisions, and delivered measurable outcomes. Employers at this level want to see that you can coordinate across functions, give direction to others, and handle ambiguity without close supervision. Tailor your resume to show scope and impact, not just the tools you used.
Which companies hire mid level ai team leads?
Companies hiring mid level ai team leads 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 established technology firms, fast-growing startups, and large enterprises building out dedicated AI functions.
Are there remote mid level ai team lead jobs?
Yes, though availability varies by employer and industry. About 20% of mid level ai team lead openings are remote or hybrid as of November 2026, reflecting the sustained demand for flexible work in AI-focused roles. On-site positions still exist, particularly at companies where proximity to data infrastructure or cross-functional teams is a priority.
How do I move up to a mid level ai team lead role?
The progression from entry level to mid level comes from deliberately deepening your ownership over time. Start by moving beyond assigned tasks to proposing solutions, taking responsibility for a full project lifecycle, and mentoring newer teammates. Building a record of measurable impact, whether in model performance, process improvements, or team output, is what distinguishes mid level candidates from those still in support roles.
Which industries hire the most mid level ai team leads?
Mid Level ai team lead roles concentrate in Education, Banking & Financial Services, and Investment & Asset Management, based on current listings on Migrate Mate as of November 2026. These sectors tend to drive hiring at this level because they have both the data infrastructure to support applied AI work and the organizational scale to need team leads who can bridge technical execution with broader business goals.