AI Architect

Overview

On Site
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - Independent

Skills

Artificial Intelligence
ARIMA
Prophet
LSTM
XGBoost
RAG
CI/CD
MLOps
MLflow
Databricks
AKS
Azure
Delta Lake
Feast
Redis
Azure Data Lake
APIs
Azure ML
Kubernetes
Delta Tables
Gen2
Blob Storage
Predictive Modelling
LLM
Gen AI
Machine Learning (ML)
Machine Learning Operations (ML Ops)
Generative Artificial Intelligence (AI)

Job Details

Job Title : AI Architect

Location: Seattle, WA (Onsite)

Duration: Long Term

About US

At Vilwaa (), we are focused towards delivering IT services and solutions in Data Engineering, Cloud Infrastructure solutions , Digital Application Development, (IoT) - Internet of Things.

Job Description

AI/ML Architecture Design:

  • Design and architect the time series ML lifecycle, including ingestion, feature engineering, model training, evaluation, and serving.
  • Define architecture for univariate, multivariate, and predictive models (ARIMA, Prophet, LSTM, XGBoost, etc.).
  • Evaluate and integrate anomaly segmentation techniques.
  • Able to create complete end to end RAG pipeline.

MLOps & Lifecycle Management:

  • Establish best practices for CI/CD pipelines, MLflow-based model tracking, versioning, and rollback.
  • Align model deployment across batch (Databricks jobs) and real-time (AKS / Azure ML Endpoints) inference.
  • Collaborate with platform teams to operationalize retraining, drift detection, and alerting.
  • Data Architecture & Feature Stores:
  • Design feature pipelines using Delta Lake and offline/online feature stores (e.g., Feast, Delta + Redis).
  • Work with data engineering to align with Bronze Silver Gold zone processing acros Azure Data Lake

Stakeholder Collaboration:

  • Partner with product owners, energy engineers, and visualization teams to translate insights into actionable dashboards and external APIs.
  • Lead data scientists and ML engineers to design, prototype, and productionize energy optimization models

Teck Stack:

  • Azure Databricks, Azure ML, Azure Kubernetes Service, Delta Tables , Azure Data Lake Gen2,
  • Azure Blob Storage, Time series, Predictive Modelling, RAG/LLM based Gen AI.

Mandatory Skills: AI for Product Software Engineering .

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