3 дня назад
AI Solutions Architect
170 000 - 320 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Solutions Architect (AI/ML): Designing and validating production AI/ML architectures that connect product strategy, customer requirements, and scalable system design with an accent on model evaluation, inference patterns, and productionization. Focus on building proof-of-concept solutions, balancing accuracy, performance, reliability, and cost, and translating technical trade-offs into product and customer outcomes.
Location: United States · Remote
Salary: $170,000–$320,000 base compensation annually
Company
is a specialist executive search firm focused on leadership hires for AI transformation.
What you will do
- Design and validate AI/ML solution architectures aligned with product strategy, customer requirements, and scalability constraints.
- Partner with product management, engineering, and data science to turn AI capabilities into shipped features and customer value.
- Evaluate AI models, frameworks, and platforms, and lead build-versus-buy decisions.
- Build reference implementations and proof-of-concept solutions to reduce product roadmap risk.
- Lead technical design reviews, architecture governance, and development of AI system patterns and best practices.
- Define technical requirements and success metrics, and communicate architecture trade-offs to executives, customers, and other non-technical stakeholders.
Requirements
- At least 5 years of hands-on experience architecting and shipping AI/ML solutions in production.
- Expertise in model evaluation, AI inference system design, and production challenges including latency, cost, reliability, and drift.
- Experience translating business requirements into technical architecture decisions across product, engineering, and business contexts.
- Strong systems-level thinking with the ability to assess accuracy, performance, maintainability, and operational cost trade-offs.
- Experience in early-to-growth-stage product teams or other fast-moving environments.
- Ability to scope ambiguous problems, define success metrics, and iterate with incomplete information.
Culture & Benefits
- Permanent remote opportunity based in the United States.
- Potential future opportunity: applications are added to a candidate network rather than matched to one specific current opening.
- Work focused on bridging AI research, engineering, product strategy, and go-to-market outcomes.
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