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AI ML Solution Architect

Jersey City, NJ, US • Posted 1 day ago • Updated 1 day ago

Full Time

Travel Required

On-site

Depends on Experience

Fitment

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Job Details

Skills

Python
pytorch

Summary

Python (PyTorch/TensorFlow), SQL, API design; familiarity with LangChain/LlamaIndex, Azure/AWS AI,

GitHub, Docker, Kubernetes

Roles & Responsibilities

Define end-to-end AI/ML and GenAI architectures (data ingestion feature store model training inference monitoring).
Design LLM-based solutions: RAG pipelines, prompt orchestration, guardrails, policy enforcement, and human-in-the-loop workflows.
Select appropriate models (open source vs. hosted foundation models), vector databases, embedding strategies, and retrieval frameworks.
Author architecture artifacts: context diagrams, sequence diagrams, deployment topology, decision records, security controls, and data lineage.
Lead data architecture for AI workload data quality, labeling, metadata, PII handling, and de-identification.
Establish MLOps: CI/CD for models, feature store, model registry, automated evaluation, canary rollout, A/B testing, drift monitoring.
Optimize cost and performance for training/inference (GPU/TPU selection, quantization, distillation, batching).
Ensure data privacy, consent, and secure access (role-based control, encryption, KMS, secret management).

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10121364
Position Id: 8943656
Posted 1 day ago

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