Unknown Company

Data & AI Architect

allentown, ny • Posted 5 days ago
Remote Full Time Software Architecture & Engineering

Section

Details

Job Title

Data & AI Architect

Job Type

Full Time

Client Location

Allentown, NY

Work Arrangement

Remote

Duration

Full Time

Pay Rate / Salary

$150-$160k/yr.

Job Summary

  • Strong expertise in Microsoft Azure AI & Data services: Azure Machine Learning, Azure Synapse, Azure Data Factory, Azure Data Lake, Azure Functions.
  • Hands-on experience with Databricks: Spark, Delta Lake, MLflow, notebooks, and job orchestration.
  • Proficiency in Python, SQL, and ML frameworks like TensorFlow, PyTorch, Scikit-learn.
  • Experience with MLOps tools and practices: CI/CD, model versioning, monitoring, and retraining.

Key Responsibilities

  • Architect end-to-end AI/ML solutions using Azure services (Azure ML, Synapse, Data Lake, etc.) and Databricks.
  • Lead technical design sessions and guide teams on best practices for scalable and secure AI solutions.
  • Collaborate with data scientists, engineers, and business stakeholders to translate business problems into AI solutions.
  • Design and implement MLOps pipelines for model training, deployment, monitoring, and governance.
  • Optimize data pipelines and feature engineering workflows using Spark and Delta Lake on Databricks.
  • Ensure compliance with data privacy, security, and governance standards.
  • Evaluate and integrate emerging AI technologies and framework
  • Provide technical leadership and mentorship to junior architects and engineers.

Required Qualifications

  • Deep understanding of data architecture, feature stores, and real-time inference.
  • Familiarity with containerization (Docker, Kubernetes) and API development for model serving.
  • Excellent communication and stakeholder management skill
  • Azure certifications (e.g., Azure AI Engineer Associate, Azure Solutions Architect Expert) are a plus.

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Data & AI Architect in allentown at Unknown Company

This position is listed as full time and able to be worked remotely.

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