Senior AI/ML Architect: Cloud-Native & Generative AI Leader

Zachary Piper Solutions; Sparks (NV); On-site; USD 150,000 - 200,000; Full time

Job summary

Zachary Piper Solutions seeks an experienced AI/ML Architect to lead the design, deployment, and scaling of enterprise AI and Generative AI solutions. You will drive AI strategy, architect cloud-native platforms, and build production-ready systems using AWS, Databricks, Spark SQL, Delta Lake, and MLflow.

The ideal candidate has deep cloud architecture, MLOps, and large-scale data platform experience, with hands-on skills in building enterprise-grade AI applications and integrating them with

Qualifications

• 7+ years of experience in software engineering, cloud architecture, data engineering, or related technical disciplines.
• 3+ years designing and implementing AI/ML and Generative AI solutions in cloud environments.
• Proven experience building enterprise-scale AI applications from concept through production deployment.
• AWS certifications and experience with AI frameworks are highly preferred.

Responsibilities

• Design and implement scalable AI/ML and Generative AI solutions within AWS environments.
• Develop enterprise architecture standards for AI platforms, model deployment, and governance.
• Architect and deploy autonomous AI agents and multi-agent workflows.
• Develop and optimize end-to-end data pipelines and ML workflows using Databricks and related tools.
• Lead technical decisions and mentor engineering teams to deliver AI-driven solutions.

Skills

Python development

MLOps practices

Architectural leadership

Cloud architecture

Tools

AWS services

Databricks

Spark SQL

Delta Lake

MLflow

Terraform

Job description

Zachary Piper Solutions seeks an experienced AI/ML Architect to lead the design, deployment, and scaling of enterprise AI and Generative AI solutions. You will drive AI strategy, architect cloud-native platforms, and build production-ready systems using AWS, Databricks, Spark SQL, Delta Lake, and MLflow.

The ideal candidate has deep cloud architecture, MLOps, and large-scale data platform experience, with hands-on skills in building enterprise-grade AI applications and integrating them with