Lead AI Engineer - AI Platform

What you'll do

• Lead AI platform architecture, reusable APIs, tools, frameworks, and compute resource optimization.
• Establish LLMOps/MLOps practices and pipelines for training, deployment, monitoring, evaluation, and reliability.
• Guide engineers and cross-functional initiatives while promoting security, governance, and responsible AI.

What they ask for

• Bachelor’s degree in a related field or equivalent years of experience in lieu of education, if applicable.
• 6 years executing and deploying data science, ML, and DL; ML platform engineering, MLOps tools, and ML frameworks (fewer years may be accepted with a Master's or Doctorate degree).
• 6 years of programming experience in Java and/or Python.
• 4 years of experience working with cross-functional partners.

Nice to have

• Master’s degree in a listed quantitative or related field.
• 5 years with SQL and NoSQL databases, Hadoop ecosystem, Druid, Trino, Big Query, Google Vertex AI; 6 years of Python programming; 3 years of AI technology experience outside educational training preferred.

Tools

Java, Python, SQL, NoSQL, Hadoop, Druid, Trino, Google Vertex AI

AI focus

AI platform engineering for ML/DL, LLMs, and agentic AI, including RAG, MCP and tool integration, agent orchestration, guardrails, evaluation, and production observability.