Lead Data Engineer & Modeler, AI - Hybrid

Big Commerce is building the foundation for the next generation of
** AI-driven commerce**. As a
** Lead AI Engineer, Platform & Infrastructure**, you’ll define and scale the systems that make this transformation possible. This role sits at the intersection of
** data engineering, MLOps, and applied AI enablement**, responsible for building the secure, scalable, and high-performance infrastructure that supports AI/ML use cases across the company.
* Partner with data scientists, applied ML engineers, and product teams to translate model requirements into scalable architecture.
* Work closely with the data engineering team to ensure AI pipelines align with governance and data quality standards.
* Collaborate with software engineers to integrate AI services and APIs into production systems.
* 7+ years in data or ML engineering, with experience designing production-grade AI infrastructure.
* Strong technical foundation in MLOps, data pipelines, and distributed systems.
* Hands-on experience with:* + Cloud AI platforms (Vertex AI, Sage Maker, Bedrock, or equivalent)  + Orchestration frameworks (Airflow, Kubeflow, MLflow, or Metaflow)  + Cloud data stacks (Big Query, Snowflake, GCS/S3, Terraform)  + Model serving tools (FastAPI, Bento

ML, Ray Serve, or Triton Inference Server)
* Proficient in:
Python, SQL, and Git-based CI/CD.
* Experience integrating LLMs and vector databases (e.g., Pinecone, FAISS, Weaviate, Vertex Matching Engine).
* Familiarity with Kubernetes, Docker, and Terraform for scalable deployment.
* Strong communication skills, able to partner across disciplines and simplify complex technical systems.
* require payment of recruitment fees from candidates;
* request personally identifiable information through unsanctioned websites or applications;
* attempt to solicit money from you as part of the hiring process or as part of an employment offer;
* solicit money to complete visa requirements as part of a job offer.
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