Mid Level AI Solutions Specialist Jobs
Mid level ai solutions specialist jobs go to professionals ready to own end-to-end deployments, drive client-facing recommendations, and mentor junior colleagues with limited oversight. Hiring runs across Technology & Software, Banking & Financial Services, and Education, with 55% remote or hybrid availability, and employers like Ombud, Stripe, and Amazon competing for specialists at this level now.
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Role: Manager of AI Solutions
Location: Tysons Corner, VA
Work Arrangement: Hybrid (4 days onsite, 1 day remote)
Employment Type: Full-time
Relocation: Relocation Assistance Not offered; candidates must be able to meet the onsite requirement
Role Overview:
We are seeking a highly credible, hands-on Manager of AI Solutions to lead technical solutioning for enterprise AI initiatives. The role combines deep experience designing and building AI/ML solutions, including LLM applications, retrieval-augmented generation (RAG), and reusable AI frameworks, with the ability to turn business challenges into practical solution architectures. Working alongside sales, client partners, engineering, and delivery teams, this individual will guide enterprise clients through discovery, solution design, and the early stages of AI transformation. This is a technically led role, not a primarily sales-oriented position.
Key Responsibilities
- Act as a senior technical advisor for enterprise opportunities, partnering with Account Executives and Client Partners throughout discovery and solution development.
- Lead client discovery, AI strategy workshops, use-case prioritization, and roadmapping sessions to clarify business needs, outcomes, and technical requirements.
- Develop conceptual architectures, tailored AI solution approaches, value propositions, demos, and proof-of-value scopes; contribute to proposals and RFP/RFI responses.
- Design and build scalable AI/ML solutions, including LLM-based applications, RAG pipelines, reusable frameworks, and supporting data workflows, with engineering and data science teams.
- Validate solution feasibility, integration needs, implementation risks, delivery scope, and required capabilities while keeping business value and technical rigor aligned.
- Explain complex AI concepts to both technical and nontechnical stakeholders; present and defend proposed solutions to senior executives and technical decision-makers.
- Coordinate with sales, delivery, engineering, and product teams on solution packaging, technical positioning, service offerings, and market or customer feedback.
- Represent the AI practice in client workshops, webinars, industry events, and thought-leadership initiatives; contribute to technical content when needed.
- Develop solutioning playbooks, architecture standards, and reusable best practices; mentor junior consultants and engineers on solution design and technical storytelling.
Required Qualifications:
- 5–7 years of hands-on experience in AI/ML solution architecture, applied AI/ML engineering, or technical consulting.
- Demonstrated experience designing and building LLM-based systems, RAG architectures, and reusable AI/ML frameworks in real-world environments.
- Deep understanding of AI/ML concepts, solution architecture, data pipelines, LLM implementation patterns, and the engineering considerations of scalable deployment.
- Ability to translate ambiguous customer needs into structured solution proposals, supported by practical technical judgment and a clear understanding of business outcomes.
- Strong written, verbal, presentation, and facilitation skills, with the credibility to engage C-suite executives and senior technical stakeholders.
- Comfort working in fast-paced, client-focused environments and collaborating across sales, engineering, data science, delivery, and other stakeholder groups.
- Bachelor’s or Master’s degree in Computer Science, Engineering, AI/ML, or a related technical discipline preferred.
- Must be able to work onsite in Tysons Corner, VA, four days per week; relocation assistance is not available.
Role: Manager of AI Solutions
Location: Tysons Corner, VA
Work Arrangement: Hybrid (4 days onsite, 1 day remote)
Employment Type: Full-time
Relocation: Relocation Assistance Not offered; candidates must be able to meet the onsite requirement
Role Overview:
We are seeking a highly credible, hands-on Manager of AI Solutions to lead technical solutioning for enterprise AI initiatives. The role combines deep experience designing and building AI/ML solutions, including LLM applications, retrieval-augmented generation (RAG), and reusable AI frameworks, with the ability to turn business challenges into practical solution architectures. Working alongside sales, client partners, engineering, and delivery teams, this individual will guide enterprise clients through discovery, solution design, and the early stages of AI transformation. This is a technically led role, not a primarily sales-oriented position.
Key Responsibilities
- Act as a senior technical advisor for enterprise opportunities, partnering with Account Executives and Client Partners throughout discovery and solution development.
- Lead client discovery, AI strategy workshops, use-case prioritization, and roadmapping sessions to clarify business needs, outcomes, and technical requirements.
- Develop conceptual architectures, tailored AI solution approaches, value propositions, demos, and proof-of-value scopes; contribute to proposals and RFP/RFI responses.
- Design and build scalable AI/ML solutions, including LLM-based applications, RAG pipelines, reusable frameworks, and supporting data workflows, with engineering and data science teams.
- Validate solution feasibility, integration needs, implementation risks, delivery scope, and required capabilities while keeping business value and technical rigor aligned.
- Explain complex AI concepts to both technical and nontechnical stakeholders; present and defend proposed solutions to senior executives and technical decision-makers.
- Coordinate with sales, delivery, engineering, and product teams on solution packaging, technical positioning, service offerings, and market or customer feedback.
- Represent the AI practice in client workshops, webinars, industry events, and thought-leadership initiatives; contribute to technical content when needed.
- Develop solutioning playbooks, architecture standards, and reusable best practices; mentor junior consultants and engineers on solution design and technical storytelling.
Required Qualifications:
- 5–7 years of hands-on experience in AI/ML solution architecture, applied AI/ML engineering, or technical consulting.
- Demonstrated experience designing and building LLM-based systems, RAG architectures, and reusable AI/ML frameworks in real-world environments.
- Deep understanding of AI/ML concepts, solution architecture, data pipelines, LLM implementation patterns, and the engineering considerations of scalable deployment.
- Ability to translate ambiguous customer needs into structured solution proposals, supported by practical technical judgment and a clear understanding of business outcomes.
- Strong written, verbal, presentation, and facilitation skills, with the credibility to engage C-suite executives and senior technical stakeholders.
- Comfort working in fast-paced, client-focused environments and collaborating across sales, engineering, data science, delivery, and other stakeholder groups.
- Bachelor’s or Master’s degree in Computer Science, Engineering, AI/ML, or a related technical discipline preferred.
- Must be able to work onsite in Tysons Corner, VA, four days per week; relocation assistance is not available.
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Top Industries Hiring
- Technology & Software
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- Education
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Mid Level AI Solutions Specialist Jobs: Frequently Asked Questions
How do I get a mid level ai solutions specialist job?
Position your existing experience around ownership and outcomes, not just task completion. Highlight projects where you led the solution design, managed stakeholder expectations, or delivered measurable business impact independently. Employers at this level want to see that you can operate without close supervision, so lead with specific deployments, models you shaped, or clients you supported from scoping through delivery.
Which companies hire mid level ai solutions specialists?
Companies hiring mid level ai solutions specialists right now include Ombud, Stripe, and Amazon, based on current listings on Migrate Mate as of November 2026. Hiring at this level comes from a broad mix of enterprise technology vendors, consulting firms, and large enterprises building out internal AI capabilities.
Are there remote mid level ai solutions specialist jobs?
Yes, though availability varies by employer and role type. About 55% of mid level ai solutions specialist openings are remote or hybrid as of November 2026, reflecting strong demand for distributed talent across this specialization. Client-facing roles may require more on-site presence, while internally focused implementation positions tend to offer greater location flexibility.
How do I move up to a mid level ai solutions specialist role?
Moving into a mid level ai solutions specialist role requires building depth beyond foundational skills, taking on project ownership, and demonstrating measurable impact. Focus on expanding your ability to scope solutions independently, deepening expertise in one or two AI domains, and accumulating a record of end-to-end delivery. Mentoring peers or leading small workstreams, even informally, signals readiness for the increased responsibility mid level roles carry.
Which industries hire the most mid level ai solutions specialists?
Mid Level ai solutions specialist roles concentrate in Technology & Software, Banking & Financial Services, and Education, 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 professionals who can bridge technical implementation with real-world business requirements.