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Tier-1 brand and metro location present, but seniority and niche GenAI stack limit candidate pool.
Specialized GenAI and LLM infrastructure required, though core engineering skills remain transferable.
Explicit 9+ years, must-have Golang/Python and specialized GenAI infrastructure skills.
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Architect and build scalable, robust generative AI services and platforms including CLIs, SDKs, and runtimes.
Lead architectural vision and delivery of enterprise-grade AI platforms influencing technical direction across multiple large engineering teams at Citi.
Design and iterate secure, reliable distributed systems focused on developer and user experience handling massive throughput.
9+ years hands-on software engineering experience.
Expert-level proficiency in Golang and Python with concurrent, high-throughput systems experience.
Strong expertise in Kubernetes ecosystem, container orchestration, and modern security frameworks (e.g., Gatekeeper, zero-trust).
Bachelor's degree in Computer Science, Software Engineering or related technical field, or equivalent practical experience.
Demonstrated architectural leadership in building distributed, scalable AI or software systems at enterprise scale.
Experience driving technical consensus and alignment across multiple engineering groups within a large organization.
Background with applied generative AI architectures (language models, embeddings, RAG), cloud-native infrastructure, and data pipeline engineering.