AI Data Architect

hace 7 días

Desde casa, México Radar Hire LLC A tiempo completo

If you are interested and want to apply please go through our website to proceed:

About the Role:

Radar Hire is seeking a highly experienced and forward-thinking AI Data Architect to design and manage the foundational data infrastructure that powers AI, machine learning, and analytics initiatives for our clients. This is a strategic, hands-on role responsible for creating scalable data pipelines, optimizing data structures, and enabling real-time, intelligent decision-making across enterprise environments.

You'll work closely with AI engineers, data scientists, software developers, and business stakeholders to architect end-to-end data solutions—ensuring data is clean, accessible, secure, and actionable for advanced AI use cases.

Key Responsibilities

  • Design and implement scalable, secure, and high-performance data architectures for AI/ML models and systems
  • Build and optimize ETL/ELT pipelines that support real-time and batch data processing
  • Define and enforce best practices for data modeling, schema design, and metadata management
  • Collaborate with AI engineers and data scientists to ensure data pipelines support model training, inference, and retraining workflows
  • Architect and manage data lakes, warehouses, and cloud-based storage solutions (e.g., AWS, GCP, Azure)
  • Ensure data governance, compliance, and security policies are met (including HIPAA, GDPR, or SOC2, if applicable)
  • Monitor data quality and establish automated validation and anomaly detection processes
  • Create technical documentation, architecture diagrams, and data flow mappings for internal and external teams
  • Evaluate and integrate new tools, frameworks, and platforms to enhance data infrastructure capabilities

Required Skills & Qualifications

  • 5+ years in data architecture, data engineering, or a related field
  • Strong understanding of AI/ML systems and how they interface with structured and unstructured data
  • Expertise with cloud platforms such as AWS (e.g., S3, Redshift, Glue), GCP (BigQuery), or Azure
  • Proficient in Python, SQL, and modern data frameworks (e.g., Apache Spark, Kafka, Airflow)
  • Deep experience with relational and NoSQL databases (e.g., PostgreSQL, MongoDB, DynamoDB)
  • Experience architecting solutions that feed into or support AI models (e.g., LLMs, recommendation systems, predictive analytics)
  • Familiarity with MLOps, model lifecycle, and data versioning tools
  • Strong documentation, diagramming, and cross-functional communication skills
  • Security-first mindset with experience implementing data privacy and governance protocols

Nice to Have

  • Experience supporting LLM-based AI pipelines or Retrieval-Augmented Generation (RAG) architectures
  • Familiarity with vector databases (e.g., Pinecone, Weaviate, FAISS) and embeddings
  • Knowledge of Kubernetes, Docker, or cloud-native orchestration systems
  • Certifications in cloud architecture, data engineering, or AI/ML (AWS Certified Data Analytics, GCP Data Engineer, etc.)

Working Hours

  • Full-Time, Monday–Friday 8 hours per day
  • Aligned with U.S. business hours

Job Type: Full-time

Pay: $31, $58,674.00 per month

Application Question(s):

  • Please confirm if you applied through our website so we can proceed with your application.

Work Location: Remote

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