Lead Data Engineer & Modeler, AI - Hybrid

At Commerce, our mission is to empower businesses to innovate, grow, and thrive with our open, AI-driven commerce ecosystem. As the parent company of BigCommerce, Feedonomics, and Makeswift, we connect the tools and systems that power growth, enabling businesses to unlock the full potential of their data, deliver seamless and personalized experiences across every channel, and adapt swiftly to an ever-changing market. Simply said, we help businesses confidently solve complex commerce challenges so they can build smarter, adapt faster, and grow on their own terms. If you want to be part of a team of bold builders, sharp thinkers, and technical trailblazers, working together to shape the future of commerce, this is the place for you.

BigCommerce 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.

You’ll collaborate across product, engineering, and data teams to design the unified AI platform layer — powering internal intelligence, customer-facing AI features, and advanced analytics. From model lifecycle management to data pipelines and inference infrastructure, you’ll drive the architecture and operational excellence that allows BigCommerce to experiment, deploy, and iterate AI at scale.

If you’re passionate about enabling intelligence through infrastructure, designing modern ML ecosystems, and operationalizing AI across a fast-scaling SaaS platform, this role will put you at the center of BigCommerce’s AI evolution.

AI Platform Architecture

• Partner with the Enterprise Architect and Principal Data Architect to design the company-wide AI/ML platform strategy across GCP and AWS.

• Build scalable systems for model training, evaluation, deployment, and monitoring.

• Define best practices for data ingestion, feature stores, vector databases, and model registries.

• Integrate AI workflows into existing analytics and product pipelines.

Infrastructure & Reliability

• Implement CI/CD for ML pipelines (MLOps) including model versioning, validation, and automated deployment.

• Ensure platform reliability, observability, and performance at enterprise scale.

• Manage GPU/TPU resources and optimize compute efficiency for training and inference workloads.

• Contribute to cost-optimization and security best practices across the AI infrastructure.

Cross-Functional Collaboration

• 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.

Governance & Responsible AI

• Champion data and model governance, including lineage, reproducibility, and compliance (GDPR, SOC, ISO).

• Establish monitoring frameworks for model drift, bias detection, and ethical AI use.

• Build secure and transparent systems that support trust in AI-driven decisions.

• 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, SageMaker, Bedrock, or equivalent)

  • Orchestration frameworks (Airflow, Kubeflow, MLflow, or Metaflow)

  • Cloud data stacks (BigQuery, Snowflake, GCS/S3, Terraform)

  • Model serving tools (FastAPI, BentoML, 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.

• The AI foundation powering every intelligent capability within BigCommerce — from predictive analytics to generative assistants.

• The tools and frameworks that enable product and engineering teams to build, test, and ship AI faster.

• The reliability, governance, and scalability of BigCommerce’s enterprise-wide AI ecosystem.

You’ll play a critical role in shaping how BigCommerce operationalizes AI — not just as a feature, but as a platform capability. You’ll join a collaborative, ambitious, and fast-evolving data organization dedicated to creating systems that enable intelligence at scale.

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(Pay Transparency Range: $116,000-$174,000)

At Commerce, we believe that celebrating the unique histories, perspectives and abilities of every employee makes a difference for our company, our customers and our community. We are an equal opportunity employer and the inclusive atmosphere we build together will make room for every person to contribute, grow and thrive.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the interview process, to perform essential job functions and to receive other benefits and privileges of employment. If you need an accommodation in order to interview at Commerce, please let us know during any of your interactions with our recruiting team.

Learn more about the Commerce team, culture and benefits at https://www.commerce.com/careers/

Commerce, along with many other employers, has become the subject of fraudulent job offers to hopeful prospective job seekers.
Be advised:
Commerce does not offer jobs to individuals who do not go through our formal hiring process.
Commerce will never:

• require payment of recruitment fees from candidates;

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