Generative AI Enterprise Architect (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Generative AI Enterprise Architect (AI/Data Architecture): Designing and scaling Generative AI capabilities across the enterprise with an accent on data structuring, LLM orchestration, and RAG patterns. Focus on defining architectural strategies, ensuring system reliability for non-deterministic AI behaviors, and integrating complex data flows.
Location: Remote (Must be authorized to work in the US)
Salary: $151,800 - $220,050
Company
is a financial services company focused on transforming financial lives and helping customers achieve financial freedom.
What you will do
- Define the architectural strategy for Generative AI, LLM, and AI platform capabilities across the enterprise.
- Shape the structure and access of enterprise data, knowledge, and metadata for AI-driven use cases.
- Establish data flow patterns for ingestion, transformation, indexing, embeddings, and retrieval.
- Guide the handling of ambiguity, variability, and non-deterministic behavior in AI systems.
- Orchestrate models, data sources, APIs, and workflows into scalable systems.
- Implement evaluation and observability frameworks for production AI systems, focusing on quality and reliability.
Requirements
- Bachelor’s degree in Computer Science, Engineering, Data Science, or a related technical field.
- 10+ years of experience in data architecture, AI/ML systems, or distributed platform design.
- Strong background in data modeling, data pipelines, and large-scale data systems.
- Expertise in RAG, embeddings, tool-calling agents, and multi-agent patterns.
- Experience with AWS (Bedrock) and Snowflake, including vector databases and event-driven architecture.
- Must be authorized to work for any employer in the U.S. (no sponsorship provided).
Nice to have
- Experience architecting or scaling Generative AI or LLM-based systems in production environments.
- Depth in information retrieval, semantic search, or knowledge-based architectures.
- Recognized expertise through certifications in AWS, Snowflake, or applied machine learning.
Culture & Benefits
- Medical, dental, vision, and life insurance.
- 401(k) plan with company matching contributions up to 6%.
- Tuition reimbursement up to $5,250 per year.
- Generous paid time off, including floating holidays and paid parental leave.
- Paid volunteer time (16 hours per calendar year).
- Flexible work environment with an emphasis on internal mobility and work-life balance.
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