Top Tech Jobs & Startup Jobs

Designs, builds, and maintains scalable batch and streaming data pipelines, data warehouses/lakes, and ETL/ELT processes. Collaborates with BI, Data Science, and Architecture teams to model data, validate sources, ensure data quality, optimize performance, and enable analytics using cloud and big-data technologies (AWS, Snowflake, Databricks, Spark, Kafka).

Lead QA for cloud-native AI/ML platforms: define test strategies, build and maintain automated test suites, validate data pipelines, models, and infrastructure (IaC), integrate tests into CI/CD, perform observability and non-functional testing, and collaborate with data scientists, engineers, and vendor teams to ensure reliability and scalability.

Lead enterprise financial planning, budgeting, forecasting, and reporting for technology and business investments. Build financial and capital models, track performance and risks, produce dashboards and variance analyses, support technology cost governance (cloud, software, vendor spend), and partner cross-functionally to align funding, optimize costs, and inform strategic decisions.

The AI Architect II will provide technical leadership in modernizing the technology platform, focusing on AI solutions, cloud strategy, and architectural standards while ensuring reliable model deployment and lifecycle management.

Design, deploy, and maintain generative AI solutions and ML pipelines. Fine-tune and operationalize LLMs on AWS, use Snowflake for feature engineering, ensure security/compliance, monitor and optimize model performance, and document processes while collaborating with cloud, AI, and MLOps teams.