Architecting GenAI Ecosystems: Design and implement production-grade GenAI agents using AWS Bedrock, AgentCore, and Strands Agents. Build robust RAG (Retrieval-Augmented Generation) pipelines utilizing OpenSearch and S3 Vector stores.
Scale Modern MLOps & Feature Stores: Lead the development and integration of a world-class MLOps platform. Build and maintain Varo's Feature Store Platform architecture and ensure low-latency data availability for both real-time lending decisions and batch model training.
Data Fabric & Integration: Oversee the integration of core AWS analytics services (Glue, Glue Data Catalog, Athena) to ensure AI models have high-quality, governed data "fuel."
High-Velocity Execution: Navigate the complexities of a fast-changing environment, collaborating across Data Science, Credit, and Product teams to move from PoC to production in weeks, not months.
Executive Influencing: Act as a key contributor to the Architecture Guild, using strong presentation skills to translate complex EKS/EC2 infrastructure and AI scaling strategies for executive stakeholders.
Drive Strategy: Serve as a subject matter expert within the Architecture Guild, presenting technical proposals and influencing senior leadership on emerging AI trends.
Collaborate Horizontally: Partner across domains including Data Science, Credit Policy, and Data Engineering to ensure technical alignment with business goals.

Requirements

Deep Experience: Ideally 10+ years in technical architecture with at least 5–7 years specifically focused on Machine Learning.
Architectural Foundation: Strong mastery of foundational architecture, with proven experience building agents, context stores, and vector stores.
AWS Mastery: Deep, hands-on experience with AWS SageMaker AI, Bedrock, S3, and OpenSearch. Familiarity with AgentCore and Strands Agents for autonomous task execution.
Infrastructure & Compute: Proficiency in managing server infrastructure for AI workloads, specifically Amazon EKS (Kubernetes) and EC2 optimization for model hosting.
Data Engineering Foundation: Expert knowledge of the AWS data stack: AWS Glue for ETL, Glue Data Catalog for metadata management, and Athena for serverless querying.
Certifications: AWS Certified Solutions Architect – Professional or AWS Certified Machine Learning – Specialty is highly preferred.
The "Bridge" Mindset: A unique ability to balance high-level strategic thought leadership with a passion for hands-on, tactical execution.

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

GenAI agentsMLOpsFeature Store architectureRAG pipelinesAWS GlueAWS AthenaAWS SageMakerOpenSearchEKSEC2

Soft Skills

executive influencingpresentation skillscollaborationstrategic thought leadershiptactical execution

Certifications

AWS Certified Solutions Architect – ProfessionalAWS Certified Machine Learning – Specialty