Hiring: Senior AI Engineering Company: East West Bank Location: Pasadena, CA Job Posted Time: 2026-09-17 01:31:14 Target Skills & Keywords : API Design, AWS, Azure, CI/CD, Data Pipeline, Databricks, FastAPI, Flask, LLM, LangChain, LlamaIndex, MLOps, Microservices, Python, RAG About the job Experience: •10+ years of experience in software engineering, data engineering, AI/ML, enterprise architecture, or technology leadership. Required Skills: •Design, develop, and deploy enterprise AI and Generative AI applications for prioritized banking use cases. •Architect LLM-enabled solutions including retrieval-augmented generation, vector search, agentic workflows, model orchestration, tool/function calling, and human-in-the-loop controls. •Build production-grade services and APIs using Python, FastAPI or Flask, Azure OpenAI, Azure ML, Databricks, ADLS, and modern cloud-native patterns. •Integrate AI capabilities into enterprise applications, developer workflows, knowledge management platforms, automation, analytics, and decision-support processes. •Establish engineering practices for CI/CD, testing, model evaluation, observability, performance optimization, security, and responsible AI controls. •Partner with business, data, cybersecurity, risk, compliance, legal, and vendor teams to ensure solutions meet regulatory, privacy, auditability, and operational risk expectations. •Prototype rapidly with stakeholders, convert pilots into scalable implementations, and define measurable adoption and impact metrics. •Evaluate LLM platforms for accuracy, latency, cost, security, explainability, and fit for regulated enterprise use cases. Qualifications: •Bachelor's degree in Computer Science, Engineering, Data Science, AI/ML, or equivalent practical experience; advanced degree preferred. •Proven experience leading AI, data, automation, or emerging technology initiatives from strategy and experimentation through production delivery. •Strong hands-on engineering background in Python, API design, microservices, cloud architecture, distributed systems, data pipelines, CI/CD, testing, observability, and secure software delivery. •Deep experience with the Azure ecosystem, including Azure OpenAI, Azure ML, Databricks, ADLS, Azure AI Search, and related enterprise integration patterns. •Strong process and data discipline, including data quality, lineage, metadata, workflow design, controls, operational risk, and measurable business outcomes. •Demonstrated capacity to lead cross-functional teams, influence senior stakeholders, mentor engineers, and translate complex AI capabilities into practical business solutions. •Strong executive communication skills, including the ability to define AI roadmaps, operating models, standards, adoption plans, and success metrics. •Master's degree in AI, Computer Science, Data Science, Engineering, or a related field. •Operational familiarity with model risk management, third-party/vendor risk, privacy impact assessments, and regulated technology delivery. Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!