VP of Solutions Architect - AI
No longer listedThis position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a VP of Solutions Architect - AI based in United States.
This executive-level role focuses on designing and delivering enterprise-grade AI solutions built on advanced cloud technologies.
You will lead the architecture strategy for generative and agentic AI platforms, helping organizations transform complex business challenges into scalable solutions.
The position combines deep technical expertise, strategic consulting, and hands-on innovation across modern AI and cloud ecosystems.
You will collaborate with engineering teams, executives, and enterprise clients to define secure, production-ready architectures.
This role offers the opportunity to influence AI adoption strategies, establish best practices, and shape the future of AI-powered solutions.
The ideal candidate thrives in ambiguity, enjoys solving complex problems, and brings a strong passion for responsible AI innovation.
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a VP of Solutions Architect - AI based in United States.
This executive-level role focuses on designing and delivering enterprise-grade AI solutions built on advanced cloud technologies.
You will lead the architecture strategy for generative and agentic AI platforms, helping organizations transform complex business challenges into scalable solutions.
The position combines deep technical expertise, strategic consulting, and hands-on innovation across modern AI and cloud ecosystems.
You will collaborate with engineering teams, executives, and enterprise clients to define secure, production-ready architectures.
This role offers the opportunity to influence AI adoption strategies, establish best practices, and shape the future of AI-powered solutions.
The ideal candidate thrives in ambiguity, enjoys solving complex problems, and brings a strong passion for responsible AI innovation.
Accountabilities:
- Serve as the primary technical advisor for strategic clients, leading AI architecture discussions from concept development to production implementation.
- Design advanced generative AI and agentic AI solutions using cloud-native AI services, including foundation models, retrieval-augmented generation (RAG), multi-agent systems, and orchestration frameworks.
- Create reference architectures, technical documentation, architecture decision records, and implementation roadmaps aligned with business objectives.
- Validate solution feasibility through hands-on prototyping, development, and experimentation using programming languages, AI SDKs, and cloud services.
- Ensure solutions follow cloud architecture best practices related to security, reliability, scalability, cost optimization, and operational excellence.
- Guide technical teams through complex architecture decisions involving AI models, performance requirements, governance, compliance, and infrastructure choices.
- Provide leadership and mentorship to engineering teams, helping establish best practices for AI engineering, MLOps, observability, and secure cloud development.
- Develop reusable accelerators, infrastructure modules, and automation frameworks to improve delivery efficiency.
- Support customer engagements, workshops, pre-sales activities, and strategic initiatives by translating technical concepts into business value.
- Collaborate with product, engineering, research, and customer-facing teams to continuously improve AI solution offerings and delivery capabilities.
- Bachelor’s degree in Computer Science, Engineering, or a related technical discipline, or equivalent practical experience.
- 10+ years of experience in software engineering, cloud architecture, or enterprise technology leadership roles.
- Extensive expertise designing and implementing AI solutions using cloud platforms and modern AI/ML services.
- Strong experience with generative AI architectures, agentic workflows, RAG systems, and AI orchestration patterns.
- Hands-on experience with cloud-native development, serverless architectures, distributed systems, and event-driven solutions.
- Proficiency with Infrastructure as Code tools such as Terraform, CloudFormation, or CDK.
- Strong programming skills in Python and experience working with cloud SDKs and AI development frameworks.
- Experience with machine learning platforms, model deployment, monitoring, and lifecycle management.
- Knowledge of security best practices, governance frameworks, compliance requirements, and responsible AI principles.
- Proven ability to lead enterprise-scale technology transformations and advise senior stakeholders.
- Exceptional communication, presentation, and collaboration skills across technical and executive audiences.
- Experience with professional cloud certifications is highly preferred.
- Familiarity with advanced AI reasoning patterns, secure multi-account cloud environments, and data engineering platforms is a plus.
- Strong leadership qualities, including accountability, adaptability, innovation mindset, and the ability to operate effectively in complex environments.
- Competitive compensation package based on experience and qualifications.
- Opportunity to lead cutting-edge AI initiatives and influence enterprise technology strategies.
- Fully remote work environment with flexibility across the United States.
- Chance to collaborate with talented engineers, architects, and industry experts on impactful projects.
- Opportunity to shape AI solutions using some of the most advanced cloud technologies available.
- Professional growth through leadership opportunities, innovation initiatives, and exposure to complex enterprise challenges.
As a VP of Solutions Architect - AI, you will own the technical vision and execution of enterprise AI architecture initiatives, guiding clients and internal teams from initial discovery through successful production deployment. You will combine architecture leadership, hands-on technical expertise, and business understanding to deliver secure, scalable, and impactful AI solutions.
Requirements:
The ideal candidate is a highly experienced cloud and AI architecture leader with a strong background in enterprise technology, software engineering, and customer-focused solution delivery. You should have the ability to communicate complex technical concepts clearly while driving innovation and execution.