Mid Level AI Automation Consultant Jobs
Mid level ai automation consultant jobs go to professionals ready to own automation initiatives end to end, mentor junior teammates, and make architectural decisions without constant oversight. Roles are split across 20% remote and hybrid settings in Education, Banking & Financial Services, and Investment & Asset Management, with employers like JPMorganChase, Goldman Sachs, and Villanova University hiring at this level now.
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Showing 5 of 6+ Mid Level AI Automation Consultant 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 Automation Consultant Jobs: Frequently Asked Questions
How do I get a mid level ai automation consultant job?
Position yourself around ownership, not just contribution. Highlight projects where you led the design and delivery of an automation solution, not just supported one. Emphasize the business outcomes you drove, such as reduced manual effort or faster cycle times. Tailor your resume to show that you can operate independently, communicate trade-offs to stakeholders, and bring junior team members along.
Which companies hire mid level ai automation consultants?
Companies hiring mid level ai automation consultants 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, management consultancies, and large industry operators that have moved past early automation experiments and need professionals who can scale solutions reliably.
Are there remote mid level ai automation consultant jobs?
Yes, and remote availability at this level is strong. About 20% of mid level ai automation consultant openings are remote or hybrid as of November 2026, reflecting how project-based consulting work adapts well to distributed teams. Most fully remote roles still expect occasional on-site presence for client workshops or key delivery milestones, so confirming travel expectations upfront is worthwhile.
How do I move up to a mid level ai automation consultant role?
The move from entry level to mid level hinges on demonstrated ownership over time. Focus on deepening your expertise in one or two automation platforms or AI toolchains while building a record of projects you guided from requirements through delivery. Seeking out cross-functional assignments, taking on small mentorship responsibilities, and quantifying the impact of your work all signal readiness to operate at a higher scope.
Which industries hire the most mid level ai automation consultants?
Mid Level ai automation consultant 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 hiring at this level because they have both the process complexity that makes automation high-value and the organizational maturity to invest in consultants who can own delivery rather than simply execute tasks under close supervision.