Charlotte, NC – 3 or 4 days a week onsite
Long term Contract
Role Summary
The AI Solutions Architect designs and enables scalable, secure, and production‑ready Predictive AI and Generative AI solutions across the enterprise. This role bridges business objectives and technical execution by translating use cases into well‑architected AI systems that integrate data, models, platforms, and enterprise applications.
The architect works closely with product teams, data scientists, AI engineers, platform teams, and security stakeholders to ensure both traditional ML and GenAI solutions are reusable, governable, cost‑effective, and aligned with enterprise AI standards.
Experience
- 10+ years of experience in software, data, or solution architecture roles
- 3+ years designing and deploying AI/ML solutions in production
- Demonstrated experience with both Predictive ML and GenAI / agent‑based systems
Top Skills Required
- Build APIs and backend services using Python and FastAPI
- Use AI tools (e.g., GitHub Copilot) to understand and improve existing code
- Work with AWS (Bedrock, SageMaker) for AI/ML solutions
- Design and develop GenAI and ML platforms
- Implement and manage CI/CD pipelines
- Monitor applications using Splunk, Datadog, Arize, Galileo, or similar tools.
Thanks
Sathish Korapati
Technical Recruiter
