# Urbane Systems - AI practice Lead

- JD title: AI practice Lead
- JD Company: Urbane Systems
- JD url: https://www.linkedin.com/jobs/view/4451814026
- JD Posting date and time: Estimated 2026-08-10 02:01 PM EDT; derived from source value '8 hours ago' at capture time 2026-08-10 10:01 PM EDT
- Number of applicants if available: 64 applicants
- Date and time the resume was generated: 2026-08-10 10:01 PM EDT
- Elapsed time between JD Posting date and time vs the resume generation time: 8 hours, 0 minutes
- Compensation: Not disclosed in public capture
- Count and percent of matching Significant keywords in JD vs in resume: 12 JD / 10 resume (83.3%)
- Fit Notes / caveats: Remote AI practice leadership role, but the posting requires U.S. citizenship and ability to obtain and maintain a Federal Security Clearance; confirm whether the end-client is compatible with Keith's no-defense preference.
- JD text: See captured JD below.

## Captured JD

Title: AI Practice Lead with Federal or Government Experience
 Location:(Remote)
 Terms: Full-time
 Clearance: Must be a U.S. Citizen and able to obtain and maintain a Federal Security Clearance

 Overview

 The AI Practice Lead will work closely with the CTO, technical delivery teams, and business development organization to drive client’s AI roadmap — building reusable frameworks, establishing governance, and ensuring responsible and secure AI integration across programs.
 The ideal candidate brings deep expertise in AI/ML system design, modern cloud architectures, and leadership experience in shaping enterprise-wide AI strategy.

 Minimum Qualifications

 Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.
 10+ years of experience delivering AI/ML-based solutions, including at least 5 years in an architecture or technical leadership capacity.
 Proven hands-on experience building AI prototypes, ML models, and production-grade pipelines.
 Strong experience with AWS and Microsoft Azure AI/ML services and cloud-native data architectures.
 Expertise in machine learning (ML), deep learning (DL), and large language model (LLM) deployment and governance.
 Familiarity with MLOps practices, continuous integration, and model lifecycle management.
 Experience applying human-centered design principles to AI-driven solutions.
 Knowledge of cybersecurity and data compliance considerations in AI environments.
 Strong collaboration skills and ability to interface with both technical and executive stakeholders.
 Excellent written and verbal communication skills.
 U.S. Citizenship and the ability to obtain a Federal Security Clearance.

 Preferred Qualifications

 Advanced degree in Artificial Intelligence, Machine Learning, or Data Science.
 Experience deploying Generative AI (GenAI) or LLM-based solutions in enterprise or federal environments.
 Background building or scaling AI practices, Centers of Excellence (CoEs), or reusable AI frameworks.
 Proficiency with Infrastructure as Code (IaC), containerization, and scalable microservice architectures.

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 Seniority level

 Mid-Senior level

 Employment type

 Full-time

 Job function

 Information Technology

 Industries

 Information Services

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