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Medium — metro location and reputable employer, but senior, specialized GenAI requirements limit generalist applicants.
Medium — core AI/LLM skills transfer across industries, though enterprise healthcare context may favor domain experience.
High — explicit 7+ years, 2+ senior requirement, and mandatory GenAI/ML tech stack and deployment skills.
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Lead design and delivery of AI/ML solutions including Generative AI and Agentic AI systems for enterprise applications.
Plan AI/ML initiatives using Agile/Scrum, managing stakeholder engagement and architectural decisions.
Develop, deploy, and maintain machine learning models and AI pipelines using Python and relevant AI frameworks and tools.
Bachelor's Degree in Computer Science, Mathematics, or related field.
7+ years of IT technical experience including 2+ years in a senior or lead role.
Experience with Generative AI, Agentic Frameworks (e.g., LangChain, LangGraph) and ML libraries like PyTorch, TensorFlow, Scikit-learn.
Experience working with Agile/Scrum methodologies and communicating technical concepts to non-technical stakeholders.
Experienced in independently owning complex AI/ML project delivery including solution architecture and stakeholder management.
Technical expertise in developing enterprise AI applications, including Generative AI with Large Language Models and multi-agent systems.
Proficient operating in Agile environments with ability to break down AI projects into sprint-ready tasks and delivering scalable solutions.