Чёткая стартовая роль в сильной продуктовой компании в сфере данных и AI даёт опыт внедрения решений в production и путь к техническому лидерству, но предполагает поездки к клиентам и работу из офиса.
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Офис и поездкиСовременный стекСильный AI-доменПуть к лидерству
Оценка от Hirify AI
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Текст:
Hirify AI/Оригинал
TL;DR
Associate Forward Deployed Engineer (AI): Building and productionizing data and AI solutions for enterprise customers on the Databricks platform with an accent on full-stack engineering, secure architecture, and production delivery. Focus on embedding with customer teams, designing scalable systems, integrating cloud and AI technologies, and moving projects from prototype to production.
Location: Mountain View, California; hybrid office expectation with up to 20% travel to customer sites. Hub cities include New York City and Mountain View.
Company
Data and AI platform company providing unified tools for data engineering, analytics, machine learning, and AI application development.
What you will do
Deliver production-grade data and AI systems and reference architectures on the platform.
Support enterprise customers through transformational projects from prototype to production deployment.
Contribute to secure, scalable, full-stack architecture and design decisions.
Embed with customer teams to understand technical and business challenges and deliver measurable impact.
Collaborate with senior forward deployed engineers, engineering, customer support, project managers, architects, and customer teams.
Manage technical scope and timelines while growing toward end-to-end delivery ownership.
Requirements
2+ years of experience in software engineering, data engineering, or data platforms and analytics.
Strong full-stack software engineering skills with proficiency in Python and JavaScript or TypeScript, including back-end services, APIs, and modern front-end frameworks.
Solid computer science fundamentals covering data structures, algorithms, testing, and version control.
Experience with at least one major cloud platform: AWS, Azure, or GCP; alternatively, a strong desire to develop cloud expertise quickly.
Familiarity with CI/CD and interest in production data architectures, MLOps, ML/AI models, and AI APIs.
Excellent communication skills and genuine interest in customer-facing engineering work.
Curiosity, adaptability, and eagerness to explore technologies supporting the deployment and integration of platform-based solutions.
Nice to have
Experience with Apache Spark or distributed data processing.
Databricks Certification, which can also be obtained after joining.
Culture & Benefits
Hybrid office-based work in Mountain View with customer-site travel of approximately 20%.
Comprehensive employee benefits and perks, varying by region.
Inclusive workplace committed to equal employment opportunity and diversity.
Opportunity to build deeper platform expertise alongside senior engineers and the broader engineering organization.
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