2 дня назад
Staff Forward Deployed Engineer (AI)
124 646 - 168 272$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Forward Deployed Engineer (AI): Designing and prototyping AI agent systems, BI and ML pipelines, and customer-specific solutions within Alation's data intelligence platform with an accent on data governance, enterprise architecture, and measurable customer outcomes. Focus on building RAG-based workflows, translating complex data ecosystems into technical roadmaps, and creating reusable accelerators for enterprise deployments.
Location: USA-REMOTE
Base salary: $124,646–$168,272 per year; US on-target earnings are approximately $167,000–$227,000 with a 75/25 variable compensation split.
Company
provides an AI-powered data intelligence platform for self-service analytics, cloud transformation, data governance, and enterprise AI innovation.
What you will do
- Design and prototype AI agent systems and agentic workflows that automate data governance and complex reasoning tasks.
- Work with enterprise stakeholders to understand data ecosystems and translate governance challenges into technical roadmaps using ’s Knowledge Layer.
- Build BI and ML pipelines that turn cataloged data into actionable insights and demonstrate deployment ROI.
- Partner with Deployment Strategists, Account Executives, Product, Engineering, and GTM teams to connect technical delivery with customer outcomes.
- Create reusable solution patterns, accelerators, and internal tooling to improve delivery consistency.
- Provide technical guidance and mentorship while sharing customer patterns, edge cases, and AI use cases with Product and Engineering.
Requirements
- 8+ years of software engineering experience, including customer-facing technical work such as Solutions Engineering or Forward Deployed Engineering.
- Hands-on experience with LLM frameworks, AI tooling, orchestration patterns, vector databases, and RAG architectures.
- Experience delivering BI and data pipeline solutions with strong SQL skills.
- Familiarity with cloud data platforms such as Snowflake, Databricks, AWS, GCP, or Azure.
- Understanding of enterprise data governance, metadata management, and distributed systems architecture.
- Ability to turn ambiguous requirements into working prototypes and communicate effectively with technical and business stakeholders.
Culture & Benefits
- Full-time individual contributor role within the Forward Deployed Engineering organization.
- Remote work arrangement for the United States.
- Collaboration across field, Product, Engineering, and GTM teams.
- Variable compensation structure with a 75/25 split.
- Equal employment opportunity and reasonable accommodations throughout the hiring process.
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