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Specialized GenAI skills reduce applicant pool despite metro location and senior mid-level demand.
Role requires deep GenAI and production AI-ops expertise, limiting transferability across non-AI industries.
Explicit 6-9 years requirement and specialized LLM/AI-ops skills make filters stringent.
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Lead enhancement, maintenance, and optimization of AI and GenAI production applications to ensure stability and scalability.
Manage customer onboarding, release planning, compliance activities, and stakeholder communications for AI operations.
Mentor junior team members and drive operational excellence, automation, and continuous improvement initiatives across AI solutions.
6-9 years of relevant work experience in AI/ML and AI operations.
Strong expertise in Generative AI technologies including LLMs, LangChain, Agentic AI, and RAG architectures.
Advanced Python proficiency and experience with production ML deployments.
Must be able to participate in onsite interviews as part of the recruitment process.
Experienced in managing production-grade AI and GenAI solutions with a focus on operational stability and scalability.
Skilled in cross-functional stakeholder management including customers, product, and engineering teams.
Proficient in AI governance, compliance, and technical leadership within AI operations environments.