Data architect specializing in AI remote

ESR Healthcare; New Jersey; Remote; USD 120,000 - 150,000; Full time

Job summary

A top healthcare consultancy is seeking an AI/Data Architect to join their Enterprise Architecture group. This remote position requires expertise in data architecture, data governance, and AI applications. The ideal candidate will have strong skills in relational and NoSQL databases, data migration, and familiarity with AI architecture, including OpenAI and RAG models. Applicants must be US-based and willing to travel to New Jersey occasionally.

Qualifications

• General data architecture skills required.
• Familiarity with data migration and ETL techniques.
• Understanding of data governance and metadata management.

Responsibilities

• Act as the AI/Data Architect in the Enterprise Architecture group.
• Ensure effective data architecture for AI applications.
• Collaborate on data lake and warehouse projects.

Skills

Relational data (SQL Server, PostgreSQL, Snowflake)

NoSQL and document-oriented data structures (MongoDB)

Data governance concepts

Data migration, replication, and ETL techniques

Familiarity with AI architecture

Knowledge of OpenAI or other LLM

Familiarity with RAG architecture

Data lake and data warehouse concepts

Unstructured data applications in AI

Job description

Data architect specializing in AI

Consultant, if you are interested kindly send me your updated resume also

Job Title –Data architect specializing in AI

This position requires occasional travel to NJ and

Job Location –Remote

Duration - 6 Months+

Visa -Any Visa except H1B,CPT

Mode Of Interview - Phone/Skype

Note -Need LinkedIn

The person will be the AI/Data Architect and report to Ralph in the Enterprise Architecture group.

We want this person to be US-based

Requirements

The candidate should have general data architecture skills. This includes:

Relational data (SQL Server, PostgreSQL, Snowflake)

NoSQL and other document-oriented data structures (MongoDB)

Data lake, data warehouse, and data unification concepts

Data governance concepts, including metadata management, lineage tracking, and data catalogs

The candidate should be familiar with data migration, replication, and ETL techniques.

The candidate should be familiar with unstructured data (i.e., PDFs) and its application in AI.

The candidate should be familiar with AI architecture. Knowledge of OpenAI or other LLM is required.

The candidate should be familiar with RAG architecture, including the consumption and vectorization of data.