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Strong employer brand plus attractive GenAI role, but senior specialization limits applicant density.
Medium: core AI/ML skills are transferable, but specialized LLM and agentic framework experience raises domain requirements.
High: explicit 7+ years, senior capacity, and mandatory LLM/ML frameworks and tooling.
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Lead end-to-end design, architecture, and delivery of AI/ML solutions including Generative AI and Agentic AI systems for enterprise applications.
Engage with stakeholders to gather requirements, plan AI/ML initiatives, and decompose them into Agile/Scrum user stories and tasks.
Develop, deploy, and maintain machine learning models and AI pipelines using modern AI frameworks, coding standards, and evaluation tools.
Bachelor's Degree in Computer Science, Mathematics, or related field.
7+ years of progressively responsible IT technical experience; at least 2 years in senior or lead roles.
Demonstrated experience in AI/ML solution architecture, stakeholder engagement, and Agile/Scrum delivery.
Proficiency in Python programming and AI/ML frameworks including Scikit-learn, PyTorch, TensorFlow, with hands-on experience in Generative AI and Agentic AI frameworks like LangChain, LangGraph, Pydantic AI.
Experienced in leading technically complex AI/ML projects end-to-end with ownership of architectural decision-making and delivery.
Skilled in practical deployment and scaling of Generative AI and multi-agent AI solutions for enterprise environments.
Comfortable working in Agile teams with a focus on translating business requirements into scalable AI architectures and code.