Vice President, AI Solutions & Delivery
MGT · United States · 2 days ago
RemoteRemoteEngineeringFull-time
About the role
The Vice President, AI Solutions & Delivery will lead solution strategy, architecture, and delivery quality across MGT’s AI initiatives, with a primary focus on client-facing AI revenue and delivery. This role will also support internal MGT initiatives, reusable accelerators, internal products, and AI enablement priorities.
Responsibilities
- Lead AI solutioning for external client opportunities, including discovery, technical scoping, architecture, and delivery planning.
- Translate complex business problems into practical AI solutions that can be built, implemented, and supported.
- Partner with consultants, subject matter experts, and client stakeholders to shape high-value AI use cases.
- Support proposals, pursuits, demonstrations, and executive-level client conversations.
- Set architecture standards for AI solutions across client-facing and internal work.
- Guide solution design across LLM applications, RAG pipelines, agentic workflows, data pipelines, integrations, analytics, and model/tool selection.
- Establish reusable design patterns, components, templates, and accelerators.
- Ensure solutions are scalable, secure, maintainable, and aligned with client needs.
- Own quality standards for AI delivery across client engagements and internal builds.
- Review technical designs, delivery plans, implementation risks, and production-readiness considerations.
- Help teams move from prototype to production-ready AI solutions.
- Partner with internal operations and governance leaders to ensure delivery aligns with policies, data handling requirements, and stakeholder expectations.
- Mentor AI Solutions Architects, Data Engineers, Data Scientists, and other technical builders.
- Help define the AI builder talent model, including role expectations, growth paths, and delivery standards.
- Provide technical coaching to teams working across internal MGT priorities and external client projects.
- Build a culture of practical shipping, strong documentation, reusable delivery patterns, and delivery accountability.
- Contribute to MGT’s AI tool suite, accelerators, methods, and implementation playbooks.
- Identify repeatable solutions that can be packaged across clients or internal use cases.
- Partner with the VP, AI Strategy & Operations on portfolio visibility, resourcing, and delivery readiness.
Requirements
- Strong technical fluency across modern AI solution patterns, including LLM applications, RAG, agentic workflows, prompt engineering, vector databases, data pipelines, and integrations.
- Experience designing practical AI, data, analytics, or software solutions that solve real business problems.
- Demonstrated ability to lead technical teams that ship production-quality work.
- Ability to translate business needs into technical architectures, delivery plans, and implementation roadmaps.
- Strong understanding of production delivery considerations, including scalability, maintainability, security, governance, and user adoption.
- Executive presence with the ability to communicate effectively with clients, consultants, engineers, and senior leadership.
- Ability to support business development, proposal strategy, client demonstrations, and pursuit conversations.
- Strong architecture review skills, with the ability to identify design gaps, delivery risks, and practical remediation paths.
- Builder mentality with strong delivery instincts and a bias toward practical implementation.
- Ability to mentor technical talent and create delivery standards, documentation norms, and reusable solution patterns.
- Comfort operating in a fast-moving environment where solutions, teams, and delivery models are still being built.
Qualifications
- Bachelor’s degree in Computer Science, Information Technology, Data Science, Engineering, Business, or a related field preferred, or equivalent professional experience.
- Seven (7) or more years of experience in technology consulting, AI, data, analytics, software delivery, enterprise architecture, or professional services.
- Hands-on or deeply technical experience designing AI, data, analytics, or software solutions.
- Experience leading technical delivery teams, architecture reviews, solution design, or implementation work.
- Experience working with modern AI technologies, including large language models, RAG pipelines, agentic workflows, prompt engineering, data pipelines, and enterprise integrations.
- State and local government experience preferred.
- Consulting or client-facing technical delivery background preferred.
- Experience with cloud-based AI services, data platforms, ETL/ELT, analytics platforms, or enterprise integration tools preferred.
- Experience standing up an AI practice, AI Center of Excellence, product studio, or technical delivery function preferred.
- Prior experience mentoring architects, data engineers, data scientists, AI builders, or software delivery teams preferred.
- Familiarity with governance, security, privacy, and responsible AI considerations preferred.
Skills
- Technical fluency across modern AI solution patterns, including LLM applications, RAG, agentic workflows, prompt engineering, vector databases, data pipelines, and integrations.
- Strong ability to translate business needs into technical architectures, delivery plans, and implementation roadmaps.
- Strong understanding of production delivery considerations, including scalability, maintainability, security, governance, and user adoption.
- Executive presence with the ability to communicate effectively with clients, consultants, engineers, and senior leadership.
- Strong architecture review skills, with the ability to identify design gaps, delivery risks, and practical remediation paths.
- Builder mentality with strong delivery instincts and a bias toward practical implementation.
- Ability to mentor technical talent and create delivery standards, documentation norms, and reusable solution patterns.
- Comfort operating in a fast-moving environment where solutions, teams, and delivery models are still being built.
Benefits
- Fully Funded, Comprising Medical, dental, and vision coverage.
- Life insurance.
- Short and long-term disability coverage.
- Income protection benefits.
Pay
- Competitive compensation package including:
- Flexible paid time off.
- 5% 401K matching program.
- Equity opportunities.
- Incentive and bonus programs.
- Up to 16 weeks of paid parental leave.
- Flexible spending accounts.
- Full-health Benefits with Base Employee Coverage.
Schedule
- Flexible work options.