Automation AI Engineer
Commercial Bank of California
- Location
- Remote (United State, US)
- Compensation
- $150k - $170k/yr
- Employment
- Full-time
- Level
- Senior Level
About the Role
Commercial Bank of California, a leading Latino-owned bank, is seeking an innovative Automation AI Engineer to design and deploy AI and automation solutions that streamline operations and reduce risk within the financial services environment. This role offers the opportunity to architect scalable end-to-end workflows and drive measurable business impact.
Skills
Benefits
- Medical Insurance
- Dental Insurance
- Vision Insurance
- 401k Plan
- Life Insurance
- Disability Insurance
Perks
- Remote OK
- Calm Subscription
- Online discount
Full job details
Automation AI Engineer
Location: United States
Job Type: Full-Time | Exempt | Remote/Hybrid Eligible
Salary Range: $150,000 – $170,000 per year
About Commercial Bank of California
Commercial Bank of California (CBC) is the largest Latino-owned bank in California and a certified Minority Depository Institution (MDI). Headquartered in Irvine and founded in 2003, CBC is one of the largest privately held banks in the state, with over $3.5 billion in assets as of December 2025.
We are a purpose-driven financial institution committed to building long-term relationships and delivering innovative, personalized banking solutions. Our leadership reflects the diverse communities we serve, and our mission is rooted in empowering entrepreneurs, business owners, and community leaders to thrive.
As a certified MDI, CBC is proud to play a vital role in advancing financial inclusion and economic opportunity. We believe in a higher vision for banking—one that prioritizes trust, collaboration, and community impact. Join us and be part of a team that’s redefining what it means to be a community-focused, relationship-driven bank that puts people over profits.
Job Summary
Commercial Bank of California is seeking an innovative Automation AI Engineer to join our Enterprise Technology Services team. In this role, you will design, build, and deploy production-grade AI and automation solutions that streamline operations, reduce risk, and drive measurable business impact across our financial services environment. You will partner with teams across the organization to uncover high-value automation opportunities, architect scalable end-to-end solutions, and help shape a well-governed automation portfolio that supports efficiency, growth, and long-term success.
Essential Duties and Responsibilities
- Design and deliver end-to-end AI solutions using Azure AI Foundry, including advanced workflows, RAG architectures, and large language model deployments.
- Create scalable automation pipelines that connect RPA, agentic processes, APIs, and enterprise platforms to improve operational efficiency.
- Establish best practices for prompt engineering, model tuning, and responsible AI adoption across the organization.
- Mentor junior developers and help elevate team capabilities through knowledge sharing, technical guidance, and automation standards.
- Identify high-impact opportunities to automate banking workflows across loan origination, regulatory reporting, document intelligence, customer service, and compliance operations.
- Engineer intelligent solutions using machine learning, generative AI, robotics, and agent-based systems to modernize manual processes such as KYC, credit analysis, and fraud monitoring.
- Leverage bank-approved AI and automation tools to accelerate the software development lifecycle while maintaining strong code quality and reliability.
- Evaluate, fine-tune, and optimize large language models for financial services use cases, terminology, and regulatory requirements.
- Partner closely with cybersecurity and risk teams to ensure AI and automation solutions are secure, compliant, and aligned with banking regulations and internal controls.
- Own the full AI solution lifecycle, from concept and prototyping through production deployment, monitoring, and continuous improvement.
- Design secure integrations between AI platforms and legacy banking systems using APIs and event-driven architectures.
- Apply strong data governance practices, including classification, minimization, masking, encryption, and access controls for data used by AI systems.
- Implement AI-specific security measures such as prompt-injection protection, model hardening, output filtering, guardrails, and secure model invocation patterns.
- Maintain secure AI development practices, including AI bills of materials, identity and access management, and enterprise-approved secret and credential storage.
- Document solutions, present technical recommendations, and share knowledge to support cross-functional collaboration and long-term success.
MCP Server & Agent Security
- Deploy and secure Model Context Protocol (MCP) servers so enterprise tools and data are exposed to AI agents through permissioned, auditable, and tightly controlled interfaces.
- Build and manage agent tool catalogs with strong authorization, logging, and guardrails for every action an AI agent can perform.
Minimum Qualifications
- Technical AI/ML Expertise
- 6+ years of hands-on experience in AI, automation, robotics, or machine learning engineering, with 8+ years of overall IT engineering experience.
- Bachelor’s degree in Computer Science, Engineering, Mathematics, Data Science, Information Systems, or a related field; equivalent experience will also be considered.
- Strong hands-on experience with Microsoft Power Automate, Power Apps, Copilot Studio, and other modern Microsoft automation technologies.
- Proven expertise in deep learning and large language models, including prompt engineering, retrieval-augmented generation (RAG), and fine-tuning techniques.
- Advanced experience with Azure AI Foundry, Azure Machine Learning, and Azure OpenAI Service.
- Hands-on experience with AI development tools such as Claude Code, GitHub Copilot, LangChain, and other industry-standard platforms that support agentic workflows.
- Expert-level proficiency in Python, including frameworks such as PyTorch, TensorFlow, and Scikit-learn, along with strong SQL skills.
- Experience in banking, financial services, or fintech is highly valued, particularly in areas such as risk management, transaction monitoring, and payments.
- Familiarity with financial data structures and the complexities of integrating with legacy banking systems.
- Strong understanding of MLOps practices, including model versioning, monitoring, deployment, and retraining.
- Experience with CI/CD pipelines, containerization technologies such as Docker and Kubernetes, and API development using frameworks like FastAPI or Flask.
- Knowledge of synthetic data generation techniques for financial modeling and testing.
- Understanding of real-time fraud detection architectures and intelligent monitoring solutions.
- Experience developing conversational AI solutions for banking, including chatbots and virtual assistants.
- Demonstrated ability to evaluate AI use cases, implement practical solutions, and define meaningful success metrics.
- Deep understanding of data engineering, integration, and pipeline architecture in enterprise environments.
Preferred Qualifications
- Professional certifications such as Microsoft Certified: Azure AI Engineer Associate (AI-102), Microsoft Power Automate RPA Developer Associate (PL-500), or equivalent credentials.
- Previous experience in banking, financial services, or fintech is strongly preferred.
- A portfolio of successful AI-driven automation initiatives that delivered measurable ROI, efficiency gains, or time savings.
This description is not intended to be all-inclusive. Additional responsibilities may be assigned as needed.
Benefits & Perks
- 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
Join Our Team!
- Submit your resume to Apply to Your Position Here
Equal Employment Opportunity & Accommodations
Commercial Bank of California is proud to be an Equal Employment Opportunity employer. We are committed to creating an inclusive environment for all employees and applicants. All qualified individuals will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, protected veteran status, or any other legally protected characteristic.
We evaluate applicants fairly and equitably, including those with criminal histories, in accordance with applicable federal, state, and local laws.
Commercial Bank of California is also committed to providing reasonable accommodations to individuals with disabilities. If you require a reasonable accommodation during the application or interview process, please contact us at [email protected] with the nature of your request and your contact information.
Recruitment Policy
Commercial Bank of California does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to CBC, either directly or indirectly, will be considered the property of Commercial Bank of California.
We will not pay a fee for any placement resulting from the receipt of an unsolicited resume. To submit candidates for consideration, recruiting agencies must have a valid, written, and fully executed agreement with Commercial Bank of California. Without such an agreement in place, no agency submissions will be accepted or compensated.
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