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Strong global brand, generative AI focus, metro location, and popular role title increase applicant competition.
High because specialized LLM, ML deployment, and vector database expertise requires ML-focused experience.
High due to numerous mandatory LLM, cloud, deployment, and deep learning technology requirements.
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Lead the design and implementation of complex AI-driven systems, focusing on scalable, production-ready Generative AI and LLM solutions.
Drive innovation through new initiatives, including prototyping, architecture design, and integration across multiple system domains and teams.
Mentor engineers, manage complex projects, and ensure application development delivers measurable business value with high software quality.
Strong experience with AI/ML/NLP/LLM technologies and frameworks such as LangChain or similar.
Proficiency in LLM APIs (OpenAI, Anthropic Claude, Google Gemini, Azure OpenAI) and related technologies like prompt engineering, RAG, and vector databases.
Experience with AWS cloud services (ECS, KDA, Lambda, SageMaker Studio) and ML deployment.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in driving cross-functional AI projects at scale with deep technical hands-on expertise in Generative AI implementations.
Capable of independently leading end-to-end AI system development lifecycle including research, prototype creation, and deployment on cloud platforms.
Strong background in machine learning, data engineering, and software architecture within cloud-native environments (AWS/Azure).