Architect – Platform Engineering

This is a fully remote position, open to applicants in Illinois.

📋 Description

• Develop and execute the MLOps strategy for the program.

• Design and take ownership of enterprise-level ML/LLM pipelines.

• Create container-based ML platforms with a focus on GKE.

• Implement workflows that integrate hybrid MLOps and LLMOps.

• Act as a technical expert across various internal and customer projects.

• Facilitate observability, monitoring, drift detection, lineage tracking, and audit capabilities in ML/LLM systems.

• Collaborate with cross-functional teams to produce production-ready ML solutions.

• Ensure that all solutions meet security, governance, and compliance standards.

• Conduct architecture assessments, resolve complex ML system challenges, and guide teams through the implementation process.

• Mentor engineers and offer insights on modern MLOps tools.

⛳️ Requirements

• Over 10 years of experience in ML/AI platform engineering or AI/MLOps roles with a strong focus on architecture.

• Extensive expertise in the Google Cloud (GCP) native AI/ML ecosystem.

• Practical experience with the MLOps toolset.

• Profound understanding of model lifecycle management.

• Experience in implementing or supporting LLMOps pipelines.

• Significant experience with Google Cloud's Vertex AI platform.

• Proven experience in establishing ML CI/CD pipelines.

• Strong SQL skills and experience in data transformation using Snowflake, Databricks, and Spark.

• Knowledge of lineage tracking principles.

• Robust foundation in Python and cloud-native development methodologies.

• Comprehensive understanding of security best practices, Cloud IAM, secrets management, and artifact governance.

🏝️ Benefits

• Join the fastest-growing AI-first digital transformation and engineering company worldwide.

• Lead an energetic team of highly dynamic and talented professionals.

• Gain exposure to working with Fortune 500 companies and innovative market disruptors.

• Work with cutting-edge technologies in artificial intelligence and machine learning.

• Enjoy opportunities for learning, growth, and interaction with colleagues from diverse backgrounds globally.