Associate AI​/ML Engineer- Post Deployment Governance

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• Dental:
  
  Delta Dental or reimbursement account for flexible coverage.
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• Retirement:
  Competitive retirement package to secure your future.

Associate AI/ML Engineers in AI Validation & Monitoring (AVM) support the enterprise clinical AI governance review and consultation function for post-deployment monitoring, reporting, measurement, and lifecycle evidence. Working under the guidance of more senior team members, they collaborate with AIA Governance Operations, product and operational teams, clinicians, data and platform partners, vendors, Governance Technology, and other stakeholders to organize evidence, apply approved methods, identify completeness and traceability gaps, and prepare decision-ready review materials that support safe, effective, and accountable use of AI in clinical and operational settings.

As the Associate AI/ML Engineer - Post-Deployment Governance, serving in the functional assignment of Monitoring, Reporting, and Lifecycle Enablement, you will prepare product-level evidence maps connecting required signals to source systems, owners, cadence, product and model versions, limitations, Post-Deployment Monitoring (PDM) and Post-Deployment Report Summary (PDRS) domains, actions, and handoffs. You will support monitoring and reporting readiness across full implementation, recurring reporting, post-deployment changes, and legacy products;

collect and structure evidence using approved templates, checklists, and readiness methods; and prepare draft AVM comments, review findings, consultation materials, and escalation packages.

• Preparing and maintaining product evidence and lineage maps that connect monitoring signals, metrics, source systems, owners, cadence, collection methods, product and model versions, limitations, PDM and PDRS domains, actions, and reporting handoffs.
• Supporting monitoring and reporting readiness reviews for full implementation, recurring PDRS, post-deployment changes, and legacy products by applying approved templates, checklists, rubrics, evidence requirements, and readiness criteria.
• Performing completeness and traceability checks for sources, owners, cadence, versions, limitations, baselines, targets, thresholds, conditions, actions, and transition information; identifying missing, inconsistent, or unsupported evidence for assigned reviewers.
• Reviewing PDM and PDRS content and drafting factual corrections, clarification questions, evidence-gap and limitation summaries, standard AVM comments, and monitoring-readiness findings.
• Organizing PDRS review packages, evidence references, owner and source matrices, action and condition trackers, follow-up records, ownership verification, lifecycle handoff materials, and transition plans.
• Supporting post-deployment change and legacy-product reviews by tracing version, metric, baseline, threshold, monitoring-continuity, reporting-cadence, evidence-gap, and interim-control impacts for Engineer or Principal review.

• Coordinating evidence and status information with Product Leads, product and operational owners, data and platform partners, vendors, and other stakeholders; escalating…