Note: The job is a remote job and is open to candidates in USA. Commercial Bank of California is the largest Latino-owned bank in California, committed to delivering innovative banking solutions. They are seeking an innovative Automation AI Engineer to design, build, and deploy AI and automation solutions that enhance operational efficiency and drive business impact across their financial services environment.
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
- 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
Skills
- 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
- 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
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 Overview