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Senior Data Architect with strong AI expertise

JBS TechnologiesUnited States🇺🇸United States

Quick overview

SeniorityMid Senior
Work modeHybrid
LocationUnited States
MicroservicesAWSETLSnowflakeLLMGenerative AIMachine LearningRAG

Job description

Position Overview
We are seeking a Senior Data Architect / Senior AI Data Engineer with approximately 10+ years of experience designing and building enterprise-scale data platforms and modern AI solutions. This is a senior-level, hands-on role requiring a strong combination of data architecture, cloud engineering, Snowflake, AWS, Generative AI, and AI/ML technologies.
The ideal candidate will have deep expertise in AWS Bedrock and Snowflake Cortex and experience designing solutions that integrate enterprise data with Large Language Models (LLMs), Generative AI, and advanced AI capabilities.
Key Responsibilities
  • Design and implement scalable enterprise data and AI architectures.
  • Architect and develop Generative AI and LLM-based solutions using AWS Bedrock.
  • Design AI-enabled data solutions leveraging Snowflake Cortex.
  • Provide hands-on engineering leadership across data, cloud, and AI initiatives.
  • Develop architectures integrating Snowflake, AWS services, AI/ML platforms, APIs, and enterprise applications.
  • Design secure, scalable data pipelines and data integration frameworks.
  • Build solutions that enable enterprise data to support Generative AI, LLM, RAG, analytics, and machine learning use cases.
  • Work with structured and unstructured data for AI-driven applications.
  • Define architecture standards and best practices for cloud, data, and AI solutions.
  • Partner with engineering, data science, application development, and business teams to translate requirements into technical architectures.
  • Evaluate emerging AI technologies and determine how they can be integrated into enterprise platforms.
  • Provide technical guidance and mentorship while remaining hands-on with architecture and engineering.
  • Ensure solutions meet enterprise standards for security, scalability, performance, availability, and governance.
Required Qualifications
  • Approximately 10+ years of experience in data architecture, data engineering, software engineering, or related technology roles.
  • Senior-level experience designing and implementing enterprise data architectures.
  • Strong hands-on engineering background with the ability to contribute beyond high-level architecture.
  • Deep understanding of Artificial Intelligence, Machine Learning, Generative AI, and LLM architectures.
  • Strong hands-on experience with AWS Bedrock and building Generative AI solutions.
  • Strong expertise with Snowflake and modern cloud data architectures.
  • Hands-on experience with Snowflake Cortex and Snowflake AI/ML capabilities.
  • Experience architecting RAG-based AI solutions and connecting LLMs to enterprise data is highly preferred.
  • Experience designing cloud-native data and AI platforms within AWS.
  • Strong understanding of APIs, microservices, data integration, ETL/ELT, data pipelines, and distributed systems.
  • Experience working with both structured and unstructured data.
  • Strong understanding of enterprise data security, governance, privacy, and access controls.
  • Ability to communicate complex AI and data architecture concepts to both technical and non-technical stakeholders.
Core Technical Skills

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