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Medium: common TPM title, mid-level seniority, AI specialization reduces pool, and mid-tier employer.
Medium: core technical PM skills are transferable but AI/LLM specialization narrows industry fit.
High: explicit 7–9 years requirement plus required AI/LLM project experience and PM certifications.
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Lead and manage end-to-end delivery of AI and software development projects involving LLMs, Generative AI, AI agents, and automation.
Collaborate cross-functionally with engineering, product, and business teams to define scope, timelines, and resource allocation.
Drive Agile/Scrum processes, monitor project progress using Jira, ClickUp, or Azure DevOps, ensuring on-time and high-quality delivery.
7 to 9 years of total work experience with at least 5 years in Technical Project Management.
Strong understanding of AI technologies including LLMs, Generative AI, AI agents, RAG, prompt engineering, and AI automation workflows.
Experience managing Agile software development projects.
Not explicitly mentioned in the JD: mandatory degree or location; certifications are preferred, not mandatory.
Experienced in managing complex AI/ML projects with a focus on emerging AI tech such as Generative AI and prompt engineering.
Comfortable working in Agile environments and driving Scrum ceremonies with technical and stakeholder leadership.
Familiarity with cloud platforms (AWS, Azure, or GCP) and modern development practices to ensure efficient project execution.