Mid Level Data and AI Architect Jobs
Mid level data and ai architect jobs go to professionals ready to own end-to-end data and AI initiatives, guide junior engineers, and shape architectural decisions without close supervision. Roles are 20% remote or hybrid, concentrated in Education, Banking & Financial Services, and Investment & Asset Management, with JPMorganChase, Goldman Sachs, and Villanova University hiring at this level now.
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Showing 5 of 6+ Mid Level Data and AI Architect 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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Who's Hiring
Top Industries Hiring
- Education
- Banking & Financial Services
- Investment & Asset Management
- Fintech
- Science & Research
Mid Level Data and AI Architect Jobs: Frequently Asked Questions
How do I get a mid level data and ai architect job?
Position yourself around ownership, not just contribution. Highlight projects where you designed data pipelines, led model deployment, or made architectural trade-offs independently. Emphasize cross-functional collaboration, documentation you authored, and decisions you drove. Applications that show you moved from executing tasks to shaping solutions stand out at this level, so make that shift visible in your resume and portfolio.
Which companies hire mid level data and ai architects?
Companies hiring mid level data and ai architects 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 mix of enterprise technology firms, financial services organizations, and fast-growing companies building out dedicated data and AI practices.
Are there remote mid level data and ai architect jobs?
Yes, remote work is common at this level given the nature of the work. About 20% of mid level data and ai architect openings are remote or hybrid as of November 2026, reflecting strong employer flexibility for professionals who can operate independently across distributed teams and asynchronous workflows.
How do I move up to a mid level data and ai architect role?
Moving into a mid level role requires building depth beyond task execution. Over your first few years, focus on owning a full project from requirements to delivery, deepening expertise in cloud data platforms and AI frameworks, and demonstrating measurable impact such as reduced pipeline latency or improved model accuracy. Mentoring peers and contributing to architectural decisions signals readiness for mid level responsibility.
Which industries hire the most mid level data and ai architects?
Mid Level data and ai architect roles concentrate in Education, Banking & Financial Services, and Investment & Asset Management, based on current listings on Migrate Mate as of November 2026. These sectors drive demand because they are actively scaling data infrastructure and deploying AI to support complex operations, compliance requirements, and competitive differentiation.