Mid Level AI Solutions Engineer Jobs
Mid level ai solutions engineer jobs go to professionals ready to own solution delivery end to end, guide junior teammates, and make architectural decisions without constant oversight. Roles are distributed 37% remote or hybrid across Technology & Software, Consulting & Professional Services, and Electronics & Hardware, with Amazon Web Services, Google, and NVIDIA hiring at this level now.
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Posting Details
This position is designated as Exempt from the Human Resources Act (EHRA).
Employees of UNCW are provided a comprehensive benefits package as well as other programs, resources, policies, and practices that help to support a work/life balance. Our programs have been designed to provide a variety of choices to best fit your needs and the needs of your family. Full time employees are eligible for dental, vision and health insurance plans. Health insurance benefit plans eligibility begins on the first of the month following date of hire. Retirement plan contributions begin on the eligibility date following election and include employer contributions for either a defined contribution or a defined benefit plan. Optional disability plans are also available.
Full time employees are also eligible for the tuition waiver program which covers the cost of tuition and fees for up to three (3) undergraduate or graduate courses per academic year at UNCW or any other university within the UNC System. In addition, UNCW covers the cost of tuition and fees for one UNCW course each summer session.
We also offer an abundance of training and development programs through our Dare to Learn Academy, and the employee assistance program, many of which are offered free of charge.
- Bachelor’s degree.
- 4 years of experience in application development, data engineering, or related technical roles.
- Demonstrated experience designing and implementing solutions using AI, automation, or advanced data tools.
- Experience taking responsibility for designing, delivering, and implementing technical solutions, including translating business requirements into working systems.
- Experience working directly with business stakeholders to solve complex problems.
- Demonstrated experience designing, implementing, or supporting AI- or automation-enabled solutions using platforms such as Azure AI, Open AI, Power Platform, or comparable tools in an enterprise environment
- Experience working with APIs, system integrations, and modern application architectures, including connecting multiple systems and managing data exchanges.
- Working knowledge of data architecture concepts, including structured and unstructured data, and how operational data supports reporting and analytics.
- Experience working in higher education or similarly complex, highly regulated organizations, with diverse stakeholders, legacy systems, and formal governance structures.
- Experience supporting or collaborating on research, analytics, or innovation initiatives in a higher education or research-intensive environment.
- Experience participating in enterprise technology evaluation and selection, including requirements gathering, technical review, and vendor assessment.
- Demonstrated ability to lead and implement technical solutions, balancing architectural decision-making with hands-on development, configuration, or prototyping.
- Proven ability to deliver solutions with a focus on usability, adoption, and operational effectiveness, ensuring technology meets practical business needs.
- Experience applying data governance, security, and sustainability practices, such as defining data ownership, ensuring appropriate access controls, documenting integrations, and considering long-term support, risk, and compliance requirements.
The Department of ESS provides:
- Innovative, stable, cost effective and secure technical support and maintenance of enterprise solutions to the campus community
- Day to day support for production applications and systems
- Timely implementation of upgrades and releases
- Development and analysis to support the operational requirements and mandates for production applications and systems
- User access for production applications
A public institution with nearly 18,000 students, UNCW offers a full range of baccalaureate- and graduate-level programs, as well as doctoral degrees in educational leadership, marine biology, nursing practice and psychology; and many distance learning options, including clinical research, an accelerated RN-to-BSN program, an Executive M.B.A. program structured for working professionals, and the nation’s only bachelor’s degree program focused on coastal engineering.
The university’s efforts to advance research and scholarly activities have earned UNCW the elevated designation of “Doctoral Universities: High Research Activity” institution (R2 University) by the Carnegie Classification of Institutions of Higher Education.
UNCW has been part of the University of North Carolina System since 1969.
Applicant Documents
- Resume
- Cover Letter
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Find JobsMid Level AI Solutions Engineer Job Market
Who's Hiring
- Amazon Web Services10
- Google4
- NVIDIA4
- AvePoint4
- Booz Allen Hamilton4
Top Industries Hiring
- Technology & Software39
- Consulting & Professional Services15
- Electronics & Hardware10
- Distribution & Wholesale10
- Banking & Financial Services9
Mid Level AI Solutions Engineer Jobs: Frequently Asked Questions
How do I get a mid level ai solutions engineer job?
Position your existing experience around ownership: highlight projects where you drove a solution from requirements through deployment, not just contributed to one. Emphasize hands-on work with large language models, ML pipelines, or AI integration APIs, and show the business impact of what you built. Applications that demonstrate independent judgment and measurable outcomes stand out over those that just list tools.
Which companies hire mid level ai solutions engineers?
Companies hiring mid level ai solutions engineers right now include Amazon Web Services, Google, and NVIDIA, based on current listings on Migrate Mate as of July 2026. Hiring at this level covers technology consultancies, enterprise software vendors, and large organizations across finance, healthcare, and retail that are actively building internal AI capabilities.
Are there remote mid level ai solutions engineer jobs?
Yes, remote and hybrid roles are a substantial share of the market at this level. About 37% of mid level ai solutions engineer openings are remote or hybrid as of July 2026, reflecting how much AI engineering work can be done distributed. On-site roles tend to cluster at companies with regulated data environments or hands-on infrastructure requirements.
How do I move up to a mid level ai solutions engineer role?
The path from entry level to mid level centers on taking on increasing ownership rather than accumulating years. Build depth in one or two AI domains, such as NLP, computer vision, or ML ops, until you can design solutions independently. Seek out projects where you lead delivery, handle stakeholder communication, and make technical tradeoffs. Demonstrating measurable impact on real systems is what signals readiness for mid level responsibilities.
Which industries hire the most mid level ai solutions engineers?
Mid Level ai solutions engineer roles concentrate in Technology & Software, Consulting & Professional Services, and Electronics & Hardware, based on current listings on Migrate Mate as of July 2026. These sectors drive hiring because they are actively embedding AI into customer-facing products, internal workflows, and data platforms, creating sustained demand for engineers who can own solution design at a mid level of seniority.