AI Software Architect
Why This Role Stands Out
This fully remote AI Software Architect role offers an exciting opportunity to shape cutting-edge AI solutions and drive innovation within a reputable company. You'll thrive here if you possess a strong background in Generative AI, RAG, and cloud platforms, eager to build secure architectures and explore new AI technologies. Apply now to leverage your expertise and advance your career in a dynamic, growth-oriented environment.
Quick Overview
Job Description
We are seeking an AI Software Architect to guide the evaluation, design, and responsible implementation of cutting-edge AI solutions across enterprise environments.
Role Details
- Position: AI Software Architect / AI Consultant
- Work Arrangement: Fully Remote (Nationwide applicants welcome; must work EST hours. Occasional onsite visits required)
- Location: Columbia, SC
- Interview Process: 1 Round (Virtual / Online)
Key Responsibilities
- Help build secure architectures, reusable technical patterns, and AI prototypes/proof-of-concepts (POCs).
- Evaluate AI tools, platforms, LLMs, and vendor solutions for governance, privacy, and performance.
- Design and implement AI Agents and Retrieval-Augmented Generation (RAG) systems.
- Track AI adoption, cost, and risk through clear performance dashboards and KPIs.
Must-Have Qualifications & Skills
Core AI & Technical Experience
- Generative AI: 2+ years of hands-on experience with ChatGPT, Microsoft Copilot, and enterprise GenAI platforms.
- RAG & AI Agents: 2+ years designing and deploying Retrieval-Augmented Generation solutions and autonomous AI agents.
- Cloud AI Integration: 1+ year integrating AI capabilities natively within Microsoft Azure and AWS.
- AI-Assisted Coding: 1+ year using tools (e.g., GitHub Copilot, Cursor) for development, testing, and debugging.
Governance, Evaluation & Metrics
- POCs & KPIs: 1+ year defining success criteria, KPIs, and production monitoring for AI use cases.
- Dashboards & Reporting: 1+ year building reports to track AI adoption, compute costs, operational risk, and performance.
Education
- Bachelor's degree in Computer Science, Data Science, AI, or a related technical field (Master's degree preferred).
Bonus / Preferred Skills
- Background in core programming languages and software engineering best practices.
- Deep understanding of Transformers, ANNs, Natural Language Processing (NLP), and time-series data.
- Strong expertise in data engineering, data cleaning, and vector/relational storage.
Skills
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