Lead AI Architect

Pittsburgh, PA - USA

Monthly Salary: Not Disclosed

Experience Required: 5years

Posted on: 16-10-2025

Vacancies: 1 Vacancy

Job Summary

This is a remote position.

THIS IS A FULLY REMOTE POSITION - CANDIDATE MUST BE LOCATED IN THE U.S. (Visa sponsorship NOT available). This position will architect and evolve our clients decision and action engine that detects churn optimizes pricing predicts demand and automates retention campaigns. This role develops the models orchestration logic and continuous-learning loop that make Command proactive and measurable.

Key Responsibilities

Design train and deploy ML models for:

Customer defection/retention scoring (LightGBM/XGBoost survival models SHAP explainability).
Dynamic service pricing (gradient boosting contextual bandits /Bayesian optimization).
Appointment and capacity optimization (Google OR-Tools LightGBM).
Parts risk & first-time-fix forecasting (time-series anomaly detection).
Message generation using hosted GPT-class LLMs or Llama 3.x with retrieval-augmented prompts.

Build model-training pipelines and monitoring dashboards integrated with Commands backend.
Develop AI orchestration layers (LangChain CrewAI or equivalent) that link model outputs to actions.
Continuously retrain models as Command scales across rooftops to improve accuracy and ROI prediction.
Partner with backend engineer to unify data ingestion decision action feedback workflow.

Requirements

Python expertise with TensorFlow PyTorch scikit-learn.
Proficient in ML lifecycle tools (MLflow Weights & Biases).
Experience with recommendation systems churn prediction and reinforcement learning for pricing.
Strong data-engineering foundation (SQL feature engineering model validation).
Understanding of LLM orchestration and retrieval-augmented generation for message automation.
Familiarity with automotive or large-scale consumer service data preferred.

Required Skills:

Python expertise with TensorFlow PyTorch scikit-learn. Proficient in ML lifecycle tools (MLflow Weights & Biases). Experience with recommendation systems churn prediction and reinforcement learning for pricing. Strong data-engineering foundation (SQL feature engineering model validation). Understanding of LLM orchestration and retrieval-augmented generation for message automation. Familiarity with automotive or large-scale consumer service data preferred.

Required Education:

Bachelors degree preferred.

This is a remote position. THIS IS A FULLY REMOTE POSITION - CANDIDATE MUST BE LOCATED IN THE U.S. (Visa sponsorship NOT available). This position will architect and evolve our clients decision and action engine that detects churn optimizes pricing predicts demand and automates retention campaig...