Mid Level AI Solutions Lead Jobs
Mid level ai solutions lead jobs call for professionals ready to own projects end to end, guide junior colleagues, and shape client-facing AI strategy with limited oversight. Openings are split across on-site, hybrid, and remote settings in Technology & Software, Banking & Financial Services, and Education, with employers like Ombud, Stripe, and Amazon 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.
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Top Industries Hiring
- Technology & Software
- Banking & Financial Services
- Education
- Science & Research
- Investment & Asset Management
Mid Level AI Solutions Lead Jobs: Frequently Asked Questions
How do I get a mid level ai solutions lead job?
Position yourself around ownership, not just contribution. Highlight projects where you led the solution design, managed stakeholder expectations, or translated complex AI capabilities into business outcomes. Tailor your application to show you can work with limited oversight, have guided others, and have delivered measurable results. A portfolio of end-to-end projects carries more weight than a list of tools.
Which companies hire mid level ai solutions leads?
Companies hiring mid level ai solutions leads right now include Ombud, Stripe, and Amazon, based on current listings on Migrate Mate as of November 2026. At this level, hiring comes from a mix of enterprise technology firms, consulting practices, and industry verticals that are actively scaling their AI solution capabilities.
Are there remote mid level ai solutions lead jobs?
Yes, though availability varies by employer and industry. About 55% of mid level ai solutions lead openings are remote or hybrid as of November 2026, reflecting strong demand for flexible arrangements in this role. Roles that involve heavy client engagement or cross-functional workshops may lean toward hybrid rather than fully remote.
How do I move up to a mid level ai solutions lead role?
The path runs through deepening both technical and client-facing skills over your first few years. Focus on taking ownership of increasingly complex AI projects, documenting measurable outcomes, and developing the ability to explain AI solutions to non-technical stakeholders. Building experience with the full solution lifecycle, from discovery through deployment, is what distinguishes mid level candidates from those still early in their careers.
Which industries hire the most mid level ai solutions leads?
Mid Level ai solutions lead 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 operationalizing AI strategies and need professionals who can bridge technical delivery with business goals.