Senior AI Engineer - Enterprise GenAI for Banking

East West Bank; New York (NY); On-site; USD 125,000 - 250,000; Full time

Job summary

East West Bank is seeking an experienced Senior AI Engineer to design, build, and operationalize enterprise-grade AI and Generative AI solutions across the Bank. This leadership role will help establish AI capabilities, set standards, and lead a small high-performing AI engineering team.

The role combines hands-on development with shaping engineering practices, governance, and cross-functional collaboration across risk, compliance, and business units.

Qualifications

• 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, including experience delivering production AI solutions.
• 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.
• Experience with LLM frameworks and tooling such as LangChain, LlamaIndex, Semantic Kernel, vector databases, model registries, evaluation frameworks, and monitoring/observability tools.
• Strong process and data discipline, including data quality, lineage, metadata, workflow design, controls, operational risk, and measurable business outcomes.
• Experience in financial services, banking, fintech, insurance, or another regulated industry with strong understanding of 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, including the ability to define AI roadmaps, operating models, standards, adoption plans, and success metrics.

Responsibilities

• Design, develop, and deploy enterprise AI and Generative AI applications for prioritized banking use cases (e.g., customer service, fraud detection, document processing, knowledge management, and operational efficiency)
• Architect LLM-enabled solutions spanning 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 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.
• Establish reusable AI engineering frameworks, reference architectures, code standards, deployment patterns, and governance controls to accelerate enterprise adoption.
• 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.
• Support hiring, mentoring, and day-to-day technical leadership of AI engineers and cross-functional delivery teams.
• Stay current with emerging AI technologies and advise leadership on practical opportunities, risks, and implementation tradeoffs.
• Perform other duties as assigned.

Skills

Python

API design

Microservices

Cloud architecture

Distributed systems

Data pipelines

CI/CD

Observability

Security

Education

Bachelor's degree

Advanced degree preferred

Tools

Azure OpenAI

Azure ML

Databricks

ADLS

Azure AI Search

Job description

East West Bank is seeking an experienced Senior AI Engineer to design, build, and operationalize enterprise-grade AI and Generative AI solutions across the Bank. This leadership role will help establish AI capabilities, set standards, and lead a small high-performing AI engineering team.

The role combines hands-on development with shaping engineering practices, governance, and cross-functional collaboration across risk, compliance, and business units.