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 50% remote or hybrid across Technology & Software, Banking & Financial Services, and Education, with Ombud, Stripe, and JPMorganChase hiring 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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Find JobsMid Level AI Solutions Engineer Job Market
Who's Hiring
Top Industries Hiring
- Technology & Software
- Banking & Financial Services
- Education
- Science & Research
- Investment & Asset Management
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 Ombud, Stripe, and JPMorganChase, based on current listings on Migrate Mate as of November 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 50% of mid level ai solutions engineer openings are remote or hybrid as of November 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, Banking & Financial Services, and Education, based on current listings on Migrate Mate as of November 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.