Senior AI/ML Architect

Ethereum Technologies; Santa Clara (CA); Sur place; USD 180 000 - 230 000; Plein temps

Résumé du poste

Ethereum Technologies in Santa Clara (CA) seeks a seasoned data/AI engineer to design enterprise-grade solutions for sales, marketing, and product research. You will translate business requirements into scalable data and AI specifications and drive implementations end-to-end.

Responsibilities include building AI/ML pipelines, integrating with orchestration APIs, and developing LLM-powered applications and RAG retrieval systems, while adhering to enterprise architecture standards.

Qualifications

• Translate business requirements into data/AI solutions.
• Align with enterprise architecture standards and production readiness.
• Collaborate with cross-functional teams to deliver features.

Responsabilités

• Translate business requirements into data/AI/ML technical requirements.
• Ensure solutions align with long-term production standards and enterprise architecture guidelines at CG.
• Coordinate with cross-functional teams and business stakeholders on feature development, prioritization, and delivery.
• Design and document: AI/ML pipelines for data ingestion and integration with orchestration APIs and backend systems.
• Agent-based / Agentic AI workflows and automation systems.
• LLM-powered applications, including prompt engineering and structured outputs.
• RAG solutions, including vector search, embeddings, indexing, and retrieval pipelines.

Connaissances

Data engineering

AI/ML pipeline design

LLM integration

RAG architectures

Prompt engineering

Description du poste

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other

Summary:

This engagement focuses on designing enterprise-grade Data and AI solutions for sales, marketing, product research, and other NACG business use cases.

Key Responsibilities:

• Review functional documents and translate business requirements into Data, AI, and ML technical requirements.
• Ensure solutions align with long-term production standards and enterprise architecture guidelines at CG.
• Coordinate with cross-functional teams and business stakeholders on feature development, prioritization, and delivery.
• Design and document:
• AI/ML pipelines for data ingestion and integration with orchestration APIs and backend systems.
• Agent-based / Agentic AI workflows and automation systems.
• LLM-powered applications, including prompt engineering and structured outputs.
• RAG solutions, including vector search, embeddings, indexing, and retrieval pipelines.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.