About the Role: We are seeking an experienced Generative AI Solutions Architect to lead the design and implementation of cutting-edge GenAI solutions. You will define the architecture, lead development efforts, and ensure scalable, ethical deployment of AI systems from model selection to production. This role requires deep technical expertise in RAG, vector stores, prompt engineering, and ML deployment, along with strong leadership to guide teams and stakeholders.
Key Responsibilities: GenAI Architecture & Development
Define end-to-end GenAI architecture, including model selection, fine-tuning, retrieval-augmented generation (RAG), vector databases, and prompt engineering pipelines.
Design and deploy scalable software applications to support Generative AI initiatives.
Build Minimum Viable Products (MVPs) for rapid iteration in dynamic environments.
ML Engineering & Deployment
Hands-on model deployment from development to production, with troubleshooting and optimization.
Collaborate with Data Scientists, MLOps, and Cloud Architects to ensure robust, compliant AI systems.
Leadership & Collaboration
Lead a small squad of engineers, providing technical guidance and fostering a high-performance culture.
Mentor engineers of all levels and drive best practices in AI/ML development.
Partner with Product, Legal, and Leadership to align AI solutions with ethical, regulatory, and business goals.
Problem-Solving & Communication
Proactively resolve complex technical challenges across the AI/ML stack.
Translate technical concepts for executives, engineers, and cross-functional teams.
Required Skills & Qualifications Must-Have:
Proven experience in GenAI architecture (RAG, vector stores, prompt engineering).
Hands-on ML engineering skills: model training, deployment, and production troubleshooting.
Expertise in Python and modern software development practices.
Track record of delivering MVPs and scalable AI solutions.
Strong leadership: ability to mentor engineers and lead technical teams.
Nice-to-Have:
Familiarity with LLM fine-tuning (e.g., GPT, Llama, Claude).
Experience with cloud platforms (AWS/Azure/GCP) and MLOps tools.
Knowledge of AI ethics, compliance, and governance.
Numbers & Facts
Location
Columbia, SC
Skills
Amazon Web Services (AWS)unmatched
Artificial Intelligence (AI)unmatched
Best Practicesunmatched
Cloud Architectureunmatched
Cloud Computingunmatched
Cross-Functionalunmatched
Data Scienceunmatched
Database Programmingunmatched
Engineeringunmatched
GCP (Good Clinical Practices)unmatched
Identify Issuesunmatched
Leadershipunmatched
Leading Edge Technologyunmatched
Legalunmatched
Mentoringunmatched
Microsoft Windows Azureunmatched
Problem Solving Skillsunmatched
Python Programming/Scripting Languageunmatched
Regulationsunmatched
Software Administrationunmatched
Software Developmentunmatched
Team Lead/Managerunmatched
Technical Leadershipunmatched
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