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Position: Cloud Architect with AI/ML
Location: McLean, VA (locals Preffered)
Contract Type: C2C / W2 / 1099
Overview
We are seeking an experienced Cloud Architect to design and optimize cloud-based data and AI/ML architectures on Azure. This role combines hands-on data engineering with strategic architecture to deliver scalable, secure, and high-performance analytics and machine learning solutions.
Key Responsibilities
Position: Cloud Architect with AI/ML
Location: McLean, VA (locals Preffered)
Contract Type: C2C / W2 / 1099
Overview
We are seeking an experienced Cloud Architect to design and optimize cloud-based data and AI/ML architectures on Azure. This role combines hands-on data engineering with strategic architecture to deliver scalable, secure, and high-performance analytics and machine learning solutions.
Key Responsibilities
- Design end-to-end cloud data and AI/ML architectures aligned with business objectives
- Architect AI/ML pipelines including ingestion, training, deployment, and monitoring
- Select, design, and implement Azure cloud services and data platforms
- Build scalable solutions for both batch and real-time data workloads
- Implement MLOps, CI/CD pipelines, and automation for ML models
- Ensure security, governance, and regulatory compliance
- Collaborate with business stakeholders, data scientists, and engineering teams
- Monitor system performance, optimize costs, and document architectures
- Bachelor’s degree in a related technical field
- 5 years of data engineering experience (Spark, Databricks, MapReduce)
- Strong experience designing Azure-based cloud data solutions
- Solid understanding of data modeling and databases (SQL and NoSQL)
- Proficiency in Python and SQL
- Strong documentation and architectural diagramming skills
- Hands-on experience with Azure Databricks and Azure Data Lake
- Experience with big data technologies (Hadoop, Spark)
- Knowledge of data security, governance, and compliance frameworks
- Experience with Kubernetes and MLOps tools