Robots and Pencils - Sr. AI Data Engineer

• 5+ years professional software or data engineering experience, with 2+ years building data platforms or AI/ML systems in production on AWS • Strong software engineering background (Python and SQL, or similar) • AWS Certified Data Engineer – Associate. Candidates without it are considered if there is a clear, near-term path to earning it • Hands-on experience building data lakes on AWS, including S3, Lake Formation, Glue, Athena, and Iceberg or Parquet, with exposure to streaming on Kinesis or MSK • Experience with observability for distributed and AI systems, including CloudWatch, X-Ray, OpenTelemetry/ADOT, Amazon Managed Service for Prometheus and Grafana, and drift monitoring with SageMaker Model Monitor • Working knowledge of agent enablement on AWS, including Amazon Bedrock Knowledge Bases, Guardrails, RAG patterns, and Bedrock Agents • Experience shipping agentic or ML systems in production environments • Experience with MLOps and LLMOps practices, including evaluation, deployment, and monitoring of models and agents • Experience with infrastructure as code using AWS CDK, and CI/CD for data and AI systems • Understanding of IAM and KMS security, data governance, responsible AI principles, and PII handling • Cost optimization experience across storage, query, compute, and model usage • Experience delivering solutions in a consulting or professional services setting, working alongside client and partner teams • Demonstrable, day-to-day usage and knowledge of AI-forward coding tools such as Claude Code and Cursor • Strong problem-solving skills and the ability to navigate ambiguous technical challenges with sound judgment • Experience in regulated enterprise environments such as financial services • Additional AWS certifications such as Machine Learning Engineer – Associate, Security – Specialty, or Solutions Architect – Professional • Prior work with AWS Professional Services or other AWS partner delivery teams • Experience with agent frameworks and orchestration tools, such as Strands Agents or LangGraph • Open-source contributions or deep familiarity with the OpenTelemetry ecosystem • You’ll Do Well Here if You Are • A doer. You see something broken and fix it. You'd rather move on clarity than wait for certainty. • A doer. • A fast learner who knows you don't know everything. The AI landscape changes weekly. You're senior enough to know better and curious enough to keep learning anyway. • A fast learner who knows you don't know everything. • Direct in a way that makes the work better. You give honest feedback. You'd rather have the hard conversation than blow smoke. • Direct in a way that makes the work better. • Obsessed with craft. You know genius is in the details. You ship exceptional, not perfect, and you don't put your name on work you wouldn't stand behind. • Obsessed with craft. • Built for ownership. You honor commitments, admit mistakes fast, and back your teammates when a decision costs something. No handoffs, no finger-pointing. • Built for ownership. • All in. You treat clients' businesses like your own. You take the work seriously without taking yourself seriously. • All in. • Resourceful when the budget, timeline, or team is tight. Constraints don't slow you down. They sharpen you. • Resourceful when the budget, timeline, or team is tight. • Glad to be in the room with people who care as much as you do. Our teams average fifteen-plus years of experience. We hire people who push each other to do better work. • Glad to be in the room with people who care as much as you do.