AI Engineer
East West Bank2 years ago
Pasadena, CA, USAStaff+
Base Salary
$130k - $185k/yr
Responsibilities
- Design, develop, and deploy enterprise AI and Generative AI applications for banking use cases such as customer service, fraud detection, document processing, knowledge management, and operational efficiency.
- 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, ADLS, and cloud-native patterns.
- Integrate AI capabilities into enterprise applications, developer workflows, knowledge management, automation, analytics, and decision-support processes.
- Establish AI engineering frameworks, reference architectures, coding standards, deployment patterns, governance controls, observability, testing, evaluation, and responsible AI practices.
- Evaluate LLM platforms and AI vendors for accuracy, latency, cost, security, explainability, and suitability for regulated enterprise use.
- Partner with business, data, cybersecurity, risk, compliance, legal, and vendor teams to meet regulatory, privacy, auditability, and operational risk requirements.
- Prototype with stakeholders, convert pilots into scalable production implementations, and define adoption and business-impact metrics.
- 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, standards, and success metrics.
Requirements
- Bachelor's degree in Computer Science, Engineering, Data Science, AI/ML, or equivalent practical experience; an advanced degree is preferred.
- 10+ years of progressive experience in software engineering, AI engineering, platform engineering, or related technology leadership roles, including delivery of production AI solutions.
- Experience leading AI, data, automation, or emerging technology initiatives from strategy and experimentation through production delivery.
- 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 Azure OpenAI, Azure ML, Databricks, ADLS, Azure AI Search, and related Azure enterprise integration patterns.
- Experience with LLM platforms and tools including OpenAI ChatGPT/Codex, Anthropic Claude, Google Gemini, Microsoft Copilot, AWS Bedrock, Llama, Mistral, LangChain, LlamaIndex, Semantic Kernel, vector databases, model registries, evaluation frameworks, and monitoring tools.
- Practical experience with prompt engineering, RAG, embeddings, vector databases, LLM orchestration, agentic workflows, evaluation, hallucination mitigation, data protection, access control, logging, monitoring, traceability, and human review.
- Strong understanding of responsible AI, model governance, prompt-injection risks, data privacy, compliance, auditability, risk management, and production controls.
- Experience in financial services, banking, fintech, insurance, or another regulated industry.
- Ability to lead cross-functional teams, influence senior stakeholders, mentor engineers, and translate complex AI capabilities into practical business solutions.
- Preferred experience includes establishing AI engineering teams and platforms, enterprise search, intelligent document processing, workflow automation, AI-enabled knowledge management, vendor evaluation, model risk management, MLOps/LLMOps, evaluation pipelines, prompt registries, and production incident management.
- Applicants must have legal authorization to work in the United States.
Benefits
- Full-time role based in a regulated banking environment; specific work arrangement and additional benefits are not stated.
- The base pay range is USD $130,000.00 to USD $185,000.00 per year, excluded from benefit details.
Tech Stack
Categories