AI Architect with a strong hands-on background in Data Science, AI/ML Engineering, and solution design to evaluate, architect, and implement AI/ML solutions. The ideal candidate will work closely with Data Scientists and Engineers to build and deploy ML models, provide AI/ML solution architecture guidance, identify appropriate LLMs, prompting strategies, and overall AI frameworks, with future exposure to GenAI and Agentic AI initiatives. Preference is given to candidates with deep Data Science and AI/ML expertise over traditional Solution, Cloud, or Data Architects. Open to Lead Data Scientists or hands-on AI/ML Engineers with architectural and solution design experience.
Must Have
10+ years of overall IT experience with at least 5+ years focused on Data Science, AI/ML Engineering, or AI Solution Architecture
Strong hands-on background in Data Science, AI/ML Engineering, and AI solution design
Experience designing and implementing AI/ML solutions in enterprise environments
Experience evaluating and recommending AI architectures, LLMs, prompting strategies, and AI frameworks
Strong understanding of end-to-end AI/ML solution delivery
Nice to Have
Experience with GenAI and/or Agentic AI projects
Healthcare industry experience
Exposure to cloud-based AI/ML platforms and MLOps environments