Generative AI Engineer

Job Title: AI Engineer – GenAI / Azure AI Foundry & Databricks

Duration: 12 Months

Location: Remote (PST Hours)

Job Summary

We are seeking an experienced AI Engineer with strong expertise in Generative AI, Azure AI Foundry, and Databricks. The ideal candidate will be responsible for designing, developing, deploying, and governing scalable AI/ML and GenAI solutions, with a focus on orchestration, model lifecycle management, and enterprise-grade deployments.

Key Responsibilities

Design and develop Generative AI (GenAI) solutions using Azure AI services and modern LLM frameworks

Build, deploy, and manage AI/ML pipelines using Databricks

Implement end-to-end model deployment, including CI/CD, monitoring, and optimization

Work with Azure AI Foundry for model development, experimentation, and orchestration

Develop scalable data pipelines and integrate with enterprise data platforms

Establish AI governance frameworks, including model versioning, security, compliance, and responsible AI practices

Implement orchestration workflows using tools like Azure ML pipelines, Databricks workflows, or similar

Collaborate with cross-functional teams including Data Engineers, Architects, and Business stakeholders

Optimize model performance, cost, and scalability in cloud environments

Required Skills

Strong experience in Generative AI / LLMs (OpenAI, Azure OpenAI, etc.)

Hands-on experience with Azure AI Foundry / Azure Machine Learning

Expertise in Databricks (Delta Lake, Spark, MLflow)

Experience in model deployment and MLOps practices

Proficiency in Python and ML frameworks (TensorFlow, PyTorch, or similar)

Experience with API development and integration

Knowledge of CI/CD pipelines for ML (Azure DevOps, GitHub Actions, etc.)

Strong understanding of data engineering concepts