Senior AI Engineer
East West Bank2 years ago
Pasadena, CA, USAStaff+
Base Salary
$150k - $275k/yr
Responsibilities
- Design, develop, and deploy enterprise AI and generative AI applications for prioritized banking use cases.
- Architect LLM-enabled solutions using retrieval-augmented generation, vector search, agentic workflows, MCP, 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, and ADLS.
- Integrate AI capabilities into enterprise applications, developer workflows, knowledge platforms, automation, analytics, and decision-support processes.
- Establish engineering practices for testing, model evaluation, observability, performance optimization, security, CI/CD, and responsible AI controls.
- Create reusable AI engineering frameworks, reference architectures, code standards, deployment patterns, and governance controls.
- Partner with business, data, cybersecurity, risk, compliance, legal, and vendor teams to meet regulatory, privacy, auditability, and operational risk expectations.
- Prototype with stakeholders, convert pilots into scalable implementations, and define adoption and impact metrics.
- Evaluate LLM platforms for accuracy, latency, cost, security, explainability, and regulated-enterprise fit.
- Support hiring, mentoring, and day-to-day technical leadership of AI engineers and cross-functional delivery teams.
- Advise leadership on AI opportunities, risks, implementation tradeoffs, roadmaps, operating models, and success metrics.
Requirements
- Bachelor's degree in Computer Science, Engineering, Data Science, AI/ML, or equivalent practical experience.
- 10+ years of progressive experience in software engineering, AI engineering, platform engineering, or related technology leadership roles.
- Experience delivering production AI solutions and leading AI, data, automation, or emerging technology initiatives from strategy and experimentation through production.
- Strong hands-on experience with 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, and Azure AI Search.
- Experience with LLM platforms, prompt engineering, RAG, embeddings, vector databases, orchestration frameworks, agentic workflows, evaluation frameworks, and hallucination mitigation.
- Experience with data quality, lineage, metadata, workflow design, controls, operational risk, and measurable business outcomes.
- Experience in financial services, banking, fintech, insurance, or another regulated industry, including compliance, auditability, risk management, and governance.
- Ability to lead cross-functional teams, influence senior stakeholders, mentor engineers, and translate complex AI capabilities into practical business solutions.
- Strong executive communication skills and ability to define AI roadmaps, operating models, standards, adoption plans, and success metrics.
- Advanced degree in AI, Computer Science, Data Science, Engineering, or a related field is preferred.
- Experience establishing AI engineering teams, platforms, reusable delivery patterns, enterprise AI standards, copilots, enterprise search, intelligent document processing, workflow automation, or AI-enabled knowledge management is preferred.
- Experience with AI vendor evaluation, model risk management, third-party/vendor risk, privacy impact assessments, MLOps/LLMOps, AI monitoring, evaluation pipelines, model or prompt registries, and production incident management is preferred.
- Applicants must have legal authorization to work in the United States.
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