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Senior specialized ML/AI role in metro with known enterprise brand and niche LLM/vector requirements.
Highly specialized AI platform, LLM, and vector-search expertise reduces cross-industry transferability.
Requires 10+ years and deep ML/AI platform, LLM, vector DB, and distributed systems expertise.
Lead architecture and design of large-scale, distributed AI systems powering enterprise AI platforms and native products.
Own end-to-end architecture for AI capabilities including agentic workflows, RAG pipelines, vector search, and AI orchestration frameworks.
Drive technical strategy, architectural consistency, and mentor senior engineers across multiple teams.
Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.
10+ years of experience building backend services, distributed systems, or data/AI platforms.
Strong proficiency in Java, Go, or Python and experience with SQL and NoSQL data stores.
Work Experience Required: 10+ years
Experienced in designing and operating production-grade AI systems with LLMs, embeddings, vector databases, and AI orchestration frameworks.
Comfortable working autonomously and influencing product and architecture leadership on AI platform strategy.
Skilled in cloud environments (AWS, Azure, or GCP), Kubernetes, Docker, CI/CD, and production observability for AI workloads.