AI/ML Platform Architect

AI/ML Platform Architect Hiring Street East Newark, NJ Job Details Full-time $128,976.33 - $155,326.33 a year 6 hours ago Benefits 401(k) Qualifications TensorFlow SQL Docker AI Machine learning frameworks

MLOps Full Job Description Position Name:

AI/ML Platform Architect Location:

Newark, NJ Client:

Leading U.S.

Healthcare Enterprise Level:

Senior /

Principal Work Schedule:

3 days/week from office

Description:

We are seeking an experienced AI/ML Platform Architect to define enterprise AI/ML architecture standards, MLOps frameworks, and GenAI integration patterns. This role focuses on building scalable AI platform blueprints, governance models, and reusable ML patterns—not developing individual ML models. The ideal candidate will have deep expertise in MLOps, LLM/GenAI architectures, Responsible AI, and enterprise-scale ML platform design.

Role and Responsibilities:

Enterprise AI/ML Architecture Define enterprise ML platform reference architectures and standards Design reusable MLOps frameworks, CI/CD pipelines, and model deployment templates Establish model governance, lineage, monitoring, and observability standards Create scalable model serving patterns for batch, streaming, and real-time inference Define feature store and feature engineering standards Gen

AI & LLM

Enablement Design enterprise GenAI/LLM integration patterns Create RAG architecture templates and vector database standards Define prompt engineering and LLM integration best practices Responsible AI & Governance Establish Responsible AI standards including: Bias detection and mitigation Model explainability Ethical AI guidelines Participate in AI governance and architecture review boards Platform Strategy & Enablement Develop AI/ML platform modernization roadmap Evaluate AI/ML technologies and recommend enterprise standards Mentor architects, ML engineers, and data scientists on enterprise AI patterns

Core Skills & Qualifications:

Experience 7+ years in AI/ML, Data Science, or ML Architecture 5+ years designing enterprise ML platforms and MLOps frameworks Strong experience with production-scale ML deployments Hands-on experience with GenAI, LLMs, and RAG architectures Experience implementing Responsible AI and model governance frameworks

Technical Skills ML Platforms:

SageMaker, Azure ML, Vertex AI, Databricks MLOps & Model Serving:

MLflow, Kubeflow, Seldon, KFServing, TensorFlow Serving GenAI & LLMs:

RAG, Vector Databases, Prompt Engineering Governance:

Model monitoring, drift detection, lineage, explainability

Cloud & Containers:

AWS/Azure/GCP, Kubernetes, Docker Preferred Certifications AWS/Azure/GCP AI/ML Certifications TOGAF MLOps Certification Success Metrics

• Standardize enterprise MLOps adoption across AI teams
• Publish reusable AI/ML and GenAI architecture patterns
• Improve governance and compliance for production ML models
• Accelerate scalable and responsible AI adoption enterprise-wide

Pay:

$128,976.33 - $155,326.33 per year

Benefits:

401(k)

Work Location:

In person