Mid Level AI Solutions Consultant Jobs
Mid level ai solutions consultant jobs go to professionals ready to own client engagements end to end, guide junior teammates, and shape solution architecture with minimal oversight. Roles are concentrated in Education, Banking & Financial Services, and Investment & Asset Management, with a mix of on-site, hybrid, and remote positions, and employers like JPMorganChase, Deloitte, and Goldman Sachs hiring at this level now.
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Role Name: Forward Deployed Engineer (AI Solutions Consultant)
Location: Ohio City Cleveland (Hybrid)
Job Type: Contract
Primary
- Run working sessions with business teams (Finance, Legal, HR, Marketing, Operations) to map workflows and pick the best AI opportunities.
- Able to run a workshop with non-technical staff and explain trade-offs to leaders.
- Set up solutions in Claude and Copilot.
- Turn one-off wins into templates other teams can reuse.
- Deliver training and help build a network of business-side AI Champions.
- Look for people who have both built it and taught it.
Secondary
- Strong prompt-writing skills and a working understanding of what AI tools can and can't do.
- Experience in insurance or financial services.
- Support platform operations.
- Organize process knowledge.
- Write short use-case documents.
- 3+ years in a client-facing role such as solutions consulting, implementation, business analysis or technical training.
- Hands-on experience getting real work done with Claude, Microsoft Copilot or ChatGPT Enterprise, including building agents, Projects or custom GPTs.
- Microsoft 365 experience (SharePoint, Teams, Copilot Studio).
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Who's Hiring



Top Industries Hiring
- Education
- Banking & Financial Services
- Investment & Asset Management
- Fintech
- Science & Research
Mid Level AI Solutions Consultant Jobs: Frequently Asked Questions
How do I get a mid level ai solutions consultant job?
Position yourself around ownership, not just contribution. Highlight projects where you led the solution design, managed client relationships, or drove measurable outcomes independently. Mid level roles want candidates who can translate AI capabilities into business value with limited hand-holding, so your application should emphasize decisions you made, problems you scoped, and results you delivered, not just tasks you completed.
Which companies hire mid level ai solutions consultants?
Companies hiring mid level ai solutions consultants right now include JPMorganChase, Deloitte, and Goldman Sachs, based on current listings on Migrate Mate as of November 2026. Hiring at this level comes from a wide range of employers, including large technology firms, boutique AI consultancies, and enterprise organizations building out dedicated AI practices.
Are there remote mid level ai solutions consultant jobs?
Yes, though availability varies by employer and engagement type. About 43% of mid level ai solutions consultant openings are remote or hybrid as of November 2026, reflecting strong demand for flexible arrangements in this role. Client-facing responsibilities sometimes require periodic on-site presence, so check each listing for specific location expectations before applying.
How do I move up to a mid level ai solutions consultant role?
Moving from entry level into a mid level ai solutions consultant role takes deliberate skill deepening over time. Focus on taking ownership of discrete project phases, building proficiency in specific AI platforms or use cases, and accumulating measurable client or business impact. Demonstrating that you can work independently, communicate technical concepts to non-technical stakeholders, and mentor newer colleagues signals readiness for mid level responsibility.
Which industries hire the most mid level ai solutions consultants?
Mid Level ai solutions 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 are actively scaling AI adoption and need consultants who can bridge technical implementation with strategic business outcomes across complex organizations.