IBM watsonx Governance Engineer II REMOTE

IBM watsonx Governance Engineer II REMOTE

Posted 1 week ago by DMS Vision Inc.

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Negotiable
Undetermined
Remote
Remote
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Summary: We are seeking an experienced IBM watsonx Governance Engineer to join our AI Center of Excellence (CoE) practice. The role involves designing and implementing AI governance frameworks, model risk management systems, and responsible AI monitoring solutions using IBM watsonx.governance. The engineer will ensure enterprise clients operationalize trustworthy AI, ensuring models are explainable, fair, compliant, and auditable throughout the AI lifecycle.

Key Responsibilities:

  • Implement and configure IBM watsonx.governance for model monitoring, bias detection, explainability, and drift detection
  • Design AI governance frameworks aligned to enterprise risk management and regulatory requirements (e.g., EU AI Act, NIST AI RMF, SOC 2)
  • Integrate watsonx.governance with third-party model registries, MLOps pipelines, and enterprise data platforms
  • Build automated model evaluation pipelines covering fairness metrics, quality thresholds, and compliance checkpoints
  • Partner with data science and MLOps teams to embed governance checkpoints into the model development lifecycle
  • Support pre-sales engagements including demos, POCs, and technical workshops focused on responsible AI
  • Develop dashboards and reporting workflows for AI risk visibility across business and compliance stakeholders
  • Contribute to AI governance policy documentation, playbooks, and client-facing accelerators
  • Advise clients on model lineage, audit trails, and AI inventory management best practices

Key Skills:

  • 3+ years of experience in data engineering, MLOps, AI/ML platform engineering, or data governance
  • Hands-on experience with IBM watsonx.governance, IBM OpenScale, or equivalent governance tools (e.g., Fiddler, Arthur AI, Aporia)
  • Working knowledge of model fairness concepts: disparate impact, equalized odds, demographic parity
  • Experience with Python, SQL, and ML frameworks (scikit-learn, TensorFlow, PyTorch, or similar)
  • Familiarity with AI/ML lifecycle tools: MLflow, Kubeflow, SageMaker, Azure ML, or Vertex AI
  • Strong understanding of enterprise data platforms and cloud environments (IBM Cloud, AWS, Azure, Google Cloud Platform)
  • Excellent written and verbal communication skills for cross-functional stakeholder engagement

Salary (Rate): undetermined

City: undetermined

Country: United States

Working Arrangements: remote

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:
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