Commercial Bank of California · 9 hours ago
AI Engineer/Data Scientist
Irvine, Irvine, CA, US
Full-time
Hybrid
Senior Level
$170K/yr - $220K/yr
7+ years expCommercial Bank of California (CBC) is the largest Latino-owned bank in California, committed to delivering innovative banking solutions. As a Senior AI Engineer/Data Scientist, you will lead the design and development of AI solutions to automate financial workflows and enhance banking processes using advanced AI techniques.
BankingFinancial ServicesInsurance
Responsibilities
Design and implement end-to-end AI pipelines using Azure AI Foundry (formerly Azure AI Studio), including orchestrating complex AI workflows, building RAG (Retrieval-Augmented Generation) systems for financial document processing, and deploying large language models
You’ll establish best practices for prompt engineering, model fine-tuning, and responsible AI implementation across the organization
Identify and automate high-value banking processes using a combination of traditional ML, generative AI, and agentic systems. This includes automating loan origination workflows, regulatory reporting, document intelligence systems, customer service automation, and compliance monitoring using tools like Azure Document Intelligence, OpenAI models, Claude, and custom solutions
Identify manual processes in banking operations (e.g., KYC, credit scoring, fraud detection) and engineer automated solutions using AI agents and RAG (Retrieval-Augmented Generation) architectures
Leverage Claude Code and other developer-centric AI tools to accelerate the software development lifecycle (SDLC) and maintain high code quality
Evaluate and fine-tune Large Language Models (LLMs) like GPT-4, Claude 4, and Llama 3 for finance-specific terminology and compliance requirements
Work closely with cybersecurity teams to ensure all AI deployments adhere to banking regulations (GDPR, CCPA, and Basel III standards), implementing robust guardrails and 'Human-in-the-Loop' systems
Document solutions, present technical findings, and support knowledge sharing across teams
This individual will create production-ready AI systems by incorporating Enterprise-wide framework, rapidly adapt to emerging AI techniques, and own the lifecycle of models and agents from initial ideation through monitoring and maintenance. The engineer will coordinate with cross-functional data and business teams but retain technical accountability
Own the complete AI development lifecycle: prototype, productionize, monitor, and continuously improve models and systems
Rapidly evaluate, adopt, and optimize new AI techniques and platforms as technology evolves
Qualification
Required
Technical AI/ML Expertise
7+ years of experience in AI/ML engineering or data science with minimum 10+ IT Engineering experience
Bachelor's degree in computer science, Engineering, Mathematics, Data Science, Information Systems, or equivalent
Deep Learning & LLMs: Proven experience with Prompt Engineering, RAG, and fine-tuning techniques
Cloud Platforms: Mastery of Azure AI Foundry, Azure Machine Learning, and Azure OpenAI Service
AI Tooling: Hands-on experience with Claude Code, GitHub Copilot, LangChain, and LlamaIndex for agentic workflows
Programming: Expert-level proficiency in Python (PyTorch, TensorFlow, Scikit-learn) and SQL
Direct experience in the financial industry, understanding the nuances of risk management, transaction monitoring, and payments is a plus
Familiarity with financial data structures and the challenges of legacy banking system integration
Strong understanding of MLOps (Machine Learning Operations) to manage model versioning, monitoring, and retraining
Experience with CI/CD pipelines, containerization (Docker/Kubernetes), and API development (FastAPI/Flask)
Familiarity with synthetic data generation for financial modeling
Understanding of real-time fraud detection architectures
Experience with conversational AI for banking (chatbots, virtual assistants)
Experience vetting potential use cases for AI capabilities, implementing viable approaches, and defining/tracking measures of success
Deep understanding of data engineering, integration, and pipeline architecture
Preferred
Certifications such as Microsoft Certified: Azure AI Engineer Associate (AI-102) or Azure Data Scientist Associate (DP-100)
Prior experience in banking, financial services, or fintech (strongly preferred)
A portfolio of successful AI-driven automation projects that resulted in measurable ROI or time savings
Benefits
Competitive employer contribution to medical, dental and vision coverage
401k plan with employer match
Flexible Spending Accounts (FSA) and Dependent Care Accounts
Employee Assistance Program (EAP)
Employer provided Calm subscription
Employer provided mental health benefits through Teladoc
Life, AD&D and disability insurance
Minimum 15 Days of Vacation, 11 Paid Federal Holidays, Paid Time off to Volunteer
Online discount program
Tuition Reimbursement Program
Company
Commercial Bank of California
Commercial Bank of California is a full-service bank that offers traditional deposit, online and lending services. It is a sub-organization of CBC Bank.
201-500 employees
H1B Sponsorship
Commercial Bank of California has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2021 (1)
Funding
Current Stage
Growth StageLeadership Team
Ash Patel
President & CEO
Recent News
2025-08-07
2025-06-23
2025-04-26
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