2 дня назад
Principal Solution Architect (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Principal Solution Architect (AI): Leading technical customer journeys and scalable enterprise solution architectures for agentic workflows, AI-powered automation, and enterprise-grade deployments with an accent on technical discovery, proofs of concept, and cross-functional execution. Focus on defining repeatable benchmark methodologies, building reference architectures and demo environments, and mentoring Solutions Engineers across strategic accounts.
Location: Remote within the United States time zone
Company
develops a platform for agentic workflows, AI-powered automation, and enterprise-grade deployments.
What you will do
- Serve as the primary technical counterpart for strategic enterprise accounts throughout the customer lifecycle.
- Lead technical discovery and translate complex business problems into scalable solution architectures covering workflows, agents, integrations, and governance.
- Define and guide proofs of concept, pilots, technical validations, and production rollouts.
- Establish measurable POC success criteria and benchmarks covering accuracy, latency, coverage, usability, reliability, and business impact.
- Build reusable reference architectures, workflow patterns, benchmark templates, technical validation frameworks, and credible demo environments.
- Partner with Sales, Customer Success, Product, Engineering, and Solutions Engineering while mentoring customer-facing technical staff.
Requirements
- 7+ years of experience in a customer-facing technical role such as Solution Architect, Enterprise Architect, Solutions Engineer, or Sales Engineer.
- Strong experience with enterprise customers and complex software environments.
- Hands-on technical fluency with APIs, integrations, data flows, workflow systems, and enterprise software architectures.
- Experience with AI/ML systems, including LLM-based applications, orchestration, RAG, automation workflows, or related applied AI use cases.
- Demonstrated ability to lead enterprise proofs of concept, technical validations, or pilot programs and communicate with executive and technical stakeholders.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or equivalent practical experience.
Nice to have
- Experience in AI, automation, enterprise SaaS, infrastructure, or data platforms.
- Experience in a high-growth startup or scale-up environment.
- Experience supporting global enterprise accounts or working in regulated industries.
- Experience building benchmark methodologies, demo environments, or internal technical enablement systems.
- Previous team lead, guild lead, or functional mentoring experience in Solutions or Architecture.
Culture & Benefits
- Remote work aligned with the United States time zone.
- Global scope across enterprise accounts and Solutions Engineering operations.
- Emphasis on systems thinking, technical quality, pragmatism, ownership, and repeatable standards.
- Opportunities to mentor colleagues and influence Product, Engineering, and Solutions operating models.
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