AI Foundry Engineer

Fractal Analytics is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite empowers imagination with intelligence.

And that it will be such Fractalites that will continue to build the company for the next 100 years.

Please visit Fractal | Intelligence for Imagination for more information about Fractal.

Location: Remote

Note: This Position Is Not Eligible for Immigration Sponsorship at This Time.

8+ years of experience

We are seeking a highly skilled Azure Databricks Engineer with expertise in building scalable data platforms on Microsoft Azure and experience working with Azure AI Foundry to support advanced analytics, machine learning, and Generative AI solutions. The ideal candidate will have strong data engineering fundamentals, hands‑on experience with Azure cloud services, and the ability to design and implement end‑to‑end data pipelines that enable AI‑driven business solutions.

• Design, develop, and optimize scalable data pipelines using Azure Databricks
  .
• Build and maintain data ingestion frameworks from structured and unstructured data sources.
• Develop ELT/ETL processes using PySpark, Spark SQL, and Delta Lake
  .
• Implement modern data architectures including Data Lakehouse solutions.
• Integrate enterprise data platforms with Azure AI Foundry to enable AI and Generative AI use cases.
• Support AI/ML model development by preparing, transforming, and managing training datasets.
• Develop and manage data workflows using Azure Data Factory (ADF).
• Build data quality, validation, monitoring, and governance frameworks.
• Collaborate with Data Scientists, AI Engineers, Architects, and Business Stakeholders to deliver scalable AI solutions.
• Implement CI/CD pipelines and Dev Ops best practices for data engineering workflows.
• Ensure compliance with data security, privacy, and governance standards.

• Py Spark
• Spark SQL
• Data Modeling

• Python
• SQL
• Scala (Preferred)

• Git
• Infrastructure as Code (Terraform preferred)
• Experience working with Azure AI Foundry and Azure AI Services.
• Understanding of LLMs, RAG (Retrieval Augmented Generation), Vector Databases, Embeddings, and Prompt Engineering
  .
• Experience building data pipelines that feed AI and GenAI applications.
• Knowledge of Azure OpenAI integration patterns.
• Exposure to AI model lifecycle management and monitoring.
• Experience integrating enterprise knowledge repositories with AI applications.
• Understanding of AI governance, security, and responsible AI principles.

• Experience with Microsoft Fabric
  .
• Experience with Vector Databases such as Azure AI Search, Pinecone, or Chroma.
• Exposure to MLflow and MLOps frameworks.
• Familiarity with Kubernetes and containerization.
• Knowledge of real-time streaming using Spark Structured Streaming or Kafka.
• Experience supporting conversational AI or GenAI use cases.

• Bachelor's or master's degree in computer science, Engineering, Data Science, Information Technology, or related field.

• Microsoft Azure Solutions Architect Expert

Pay:

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable…