AI Strategist/Architect
US Tech Solutions, Inc.
Arlington, United States of America
2 months ago
Role details
Contract type
Temporary to permanent Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Compensation
$ 125KJob location
Arlington, United States of America
Tech stack
Artificial Intelligence
Amazon Web Services (AWS)
Azure
Cloud Computing
Databases
Data Architecture
Recommender Systems
Systems Architecture
Chatbots
Large Language Models
Generative AI
low-code
Machine Learning Operations
Job description
The AI Architect will define the overall AI strategy, architecture, and governance for the AI Lab. This role is responsible for designing scalable AI solutions that enhance the student application journey, university matching, document intelligence, and AI-driven advisory services., * Define the AI architecture roadmap for the AI Lab.
- Design scalable solutions for university recommendations, application scoring, and document intelligence.
- Define standards, frameworks, and best practices for AI development.
- Provide technical leadership and mentorship to AI engineers.
- Ensure AI solutions are secure, scalable, and production-ready.
Requirements
- Strong experience in AI/ML architecture and solution design.
- Hands-on experience with Large Language Models (LLMs) and Generative AI architectures.
- Expertise in AI system architecture including RAG, vector databases, and AI pipelines.
- Experience designing scalable AI platforms on cloud environments (AWS, Azure, or GCP).
- Strong knowledge of data architecture, model lifecycle, and MLOps frameworks.
- Ability to translate business requirements into AI-driven solutions.
- Experience defining AI governance, model evaluation, and responsible AI practices.
Nice-to-Have Skills
- Experience in EdTech or student admission platforms.
- Knowledge of AI-powered recommendation systems.
- Experience with document AI and intelligent document processing.
- Familiarity with AI copilots, AI assistants, or conversational AI platforms.
- Exposure to enterprise AI platforms and low-code AI frameworks.