Staff Platform Architect, Data & AI

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

📋 Description

• Enhance the current batch, analytics, and MLOps platforms to boost reliability, reduce costs, and increase operational efficiency.

• Create infrastructure for semantic and ontology layers, incorporating authoring and governance tools, lifecycle management, and catalog integration.

• Architect usage infrastructure, including APIs, libraries, and services for internal users, client-facing products, and AI agents.

• Execute permission-aware semantic discovery.

• Facilitate technology adoption across engineering teams through well-considered architectural decisions.

• Spearhead prototyping and R&D initiatives alongside analytics product and engineering teams.

• Provide mentorship to engineers in system design, first-principles thinking, and product understanding.

• Report directly to the Sr. Director of Platform Engineering as an individual contributor.

⛳️ Requirements

• Over 10 years of software engineering experience emphasizing enterprise-scale data platforms, analytics infrastructure, and AI/ML systems.

• Bachelor's Degree or higher in science, technology, engineering, or a related discipline.

• Proven experience in building or managing MLOps platforms, from data access and feature engineering to model deployment and monitoring.

• Proficient in data modeling, schema design, and ensuring data quality.

• Hands-on experience with AI agent-based architectures for governed data access, semantic discovery, and enterprise data retrieval.

• Skilled in designing federated catalog architectures for cohesive data access across various platforms and data silos.

• Knowledgeable in security, compliance, governance, data residency, and access control concerning AI/ML workloads.

• Experience with distributed computing, cloud-native infrastructure, and large-scale public-cloud data workloads such as AWS.

• Familiarity with infrastructure as code and managing production workloads.

• Proven track record in managing and evolving shared platform architectures.

• Ability to drive architectural consensus through technical influence, reference architectures, and collaborative efforts.

• Experience in credit risk, financial services, or other regulated data sectors.

🏝️ Benefits

• Attractive compensation package along with a bonus plan.

• Comprehensive medical, dental, and vision benefits.

• 401K matching contributions.

• Flexible work environment.

• Options to work remotely, in a hybrid model, or in-office.

• Flexible time off policy, including volunteer time off, vacation, sick leave, and 12 paid holidays.

• Opportunity for variable pay.

• Extensive benefits package.