Lead technical discussions, architecture design and reviews, and workshops across trading, risk, post-trade, market data, asset and wealth management domains to drive business value
Design scalable and secure solutions leveraging AWS services and emerging technologies (AI/ML)
Collaborate with sales teams to develop and execute customer engagement strategies
Create technical content and reference architectures for capital markets use cases
Influence AWS product roadmap based on customer needs
Bachelor's degree in computer science, engineering, mathematics or equivalent, or experience in a professional field or military
Experience in IT development or implementation/consulting in the software or Internet industries
Experience within specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics).
Experience in design, implementation, or consulting in applications and infrastructures
Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients
Experience implementing AI solutions that can include integration of LLMs/multi-modal FMs in large scale systems, fine-tuning LLMs, deployment and distributed inference of LLMs, RAG, FM evaluation, Vector DBs, Agentic workflows, prompt/context engineering, and MLOps.
Hands-on experience with AWS ecosystems (including Bedrock, AgentCore, and SageMaker) to set up secure, private-network AI environments, and practical experience implementing Retrieval-Augmented Generation using embeddings, vector stores, and semantic search optimization.
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