Remote Senior AI Data Engineer – AWS Production AI

Robots and Pencils

Oregon

Hybrid

USD 120,000 - 165,000

Full time

11 days ago

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Benefits offered by this job

Health insurance
401(k) plan

Job summary

Robots & Pencils is seeking a Senior Data Engineer to design, build, and deliver the data and AI infrastructure behind an enterprise agentic AI platform. You will own features end-to-end, contribute to architecture decisions, and drive reliable, scalable data pipelines on AWS in collaboration with AWS Professional Services for a large enterprise client.

The role focuses on observability, data lake pipelines, and building agent-enabled AI systems, with senior engineering teammates and a focus on

Qualifications

  • 5+ years professional software or data engineering experience, with 2+ years building data platforms and shipping AI/ML or agentic systems in production on AWS.
  • Strong software engineering background (Python and SQL, or similar).
  • AWS Certified Data Engineer - Associate or near-term path to earning it.
  • Hands-on experience building data lakes on AWS (S3, Lake Formation, Glue, Athena, Iceberg/Parquet).
  • Experience with observability for distributed and AI systems (CloudWatch, X-Ray, OpenTelemetry/ADOT, Grafana, SageMaker Model Monitor).

Responsibilities

  • Design, implement, and deploy data and AI/ML systems on AWS end-to-end, from concept through production.
  • Establish an agentic AI framework and related tooling and service enablement for fleet-scale operations.
  • Maintain and evolve production platforms, monitor drift, debug issues, and improve reliability.
  • Bring an AI-forward coding mindset using Claude and Cursor to ship high-quality work.

Skills

Python & SQL
AWS
Data lakes
Observability
MLOps
CI/CD
IAM/KMS security
Agent enablement
Claude/Cursor tools
OpenTelemetry

Tools

Claude
Cursor
Bedrock
LangGraph
SageMaker
AWS CDK

Job description

Robots & Pencils is seeking a Senior Data Engineer to design, build, and deliver the data and AI infrastructure behind an enterprise agentic AI platform. You will own features end-to-end, contribute to architecture decisions, and drive reliable, scalable data pipelines on AWS in collaboration with AWS Professional Services for a large enterprise client.

The role focuses on observability, data lake pipelines, and building agent-enabled AI systems, with senior engineering teammates and a focus on

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