Emerging Technology Solutions Architect – Machine Learning
Core
Evaluate, design, and guide the adoption of machine learning technologies across the enterprise to enable advanced analytics and AI-driven business outcomes.
Role type
Senior IC machine learning solutions architect
Builds
Scalable, secure, and reusable ML solutions and architecture patterns for the enterprise
Domain
Financial services + machine learning engineering
Deliverable
production ML models
Required skills
Machine learning engineering, solution architecture, MLOps, cloud platform design, model lifecycle management, vendor evaluation, technical leadership
Preferred skills
Generative AI and LLMs, feature stores, real-time inference, model explainability, cross-functional leadership
Technologies
Azure Machine Learning, AWS SageMaker, Databricks, Snowflake ML, MLflow, Kubeflow, PyTorch, TensorFlow, Scikit-learn, XGBoost
Responsibilities
Evaluate emerging ML technologies and platforms; Define scalable architectures for the end-to-end ML lifecycle; Establish reusable MLOps patterns and governance standards; Partner with data science and engineering teams to operationalize models at scale; Translate technical concepts into recommendations for stakeholders.
Seniority
Senior, hands-on IC
