AI Architect

Overview

We’re looking for an experienced AI Architect to help shape and scale our enterprise AI ecosystem. In this role, you’ll design end to end AI/ML architectures, build robust data and platform integrations, and lead the deployment of high impact AI solutions across cloud and hybrid environments.

• You’ll partner across data science, engineering, cloud, cybersecurity, and business teams to architect and deliver enterprise-grade AI solutions. Your work will span model design, data pipeline architecture, cloud and compute optimization, and implementing MLOps pipelines for deployment and monitoring. You’ll guide responsible AI governance, ensure security and scalability, and help drive AI strategies that deliver real business value.

• Proven experience architecting full stack AI/ML solutions (models, data pipelines, MLOps).
• Hands on expertise with AWS, Azure, or GCP and GPU/compute infrastructure.
• Strong knowledge of MLflow, Kubeflow, Databricks, Sage Maker, Vertex AI, or Azure ML.
• Deep understanding of model governance, monitoring, and responsible/ethical AI.
• Ability to architect data ingestion, feature engineering, storage, and processing layers.
• Experience implementing CI/CD and MLOps deployment frameworks.
• Strong cross functional communication and leadership skills.

• Experience with LLMs or generative AI workloads.
• AI platform integration with APIs, knowledge bases, and cloud native services.
• Familiarity with AI security, compliance, and risk assessment.
• Experience mentoring engineering teams.

$__75__/hr to $__80___/hr.

Exact compensation may vary based on several factors, including skills, experience, and education.

Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.