Sr. AI Engineer

CalPrivate Bank•El Segundo, CA

6d•$145,000 - $172,000

About The Position

The Senior AI Engineer will advance CalPrivate Bank’s data analytics and artificial intelligence capabilities by translating data, emerging technologies, and business needs into practical solutions that improve bank operations, client service, risk management, and decision-making. This senior, hands-on engineering role operates across AI, data, technology, and business teams, helping turn strategic objectives into executable solutions and building the infrastructure, models, tools, and processes needed to responsibly expand AI and advanced analytics in a regulated banking environment. The role focuses on identifying opportunities to automate manual processes, improve access to actionable information, enhance reporting and forecasting, and incorporate generative AI and machine learning into appropriate workflows. The engineer will help establish technical standards, controls, documentation, and governance so that AI capabilities are reliable, secure, explainable, and appropriate for the Bank. The position also supports scalable AI and analytics capabilities and execution of the Bank’s strategic roadmap. The position includes direct or indirect interaction with customers and employees and responsibilities related to BSA/AML. The employee may examine information and documents relating to BSA and must understand and follow Bank BSA/AML and compliance policies, including escalating suspicious activity to the BSA Officer as appropriate.

Requirements

Advanced experience in AI engineering, machine learning engineering, data engineering, applied data science, or a closely related discipline.
Strong proficiency in Python and SQL, with experience applying modern software and data engineering practices.
Demonstrated experience building and deploying production AI, generative AI, data, and analytics applications.
Hands-on experience with generative AI technologies, large language models, prompt engineering, embeddings, vector databases, RAG architectures, AI agents or workflow orchestration, and model/API integration.
Strong hands-on Snowflake experience, including data engineering, pipelines, security and access patterns, integrations, and production workloads.
Hands-on experience integrating data and AI solutions with Microsoft Azure, particularly Azure Functions and Azure Storage/Blob Storage.
Strong understanding of data architecture, ETL/ELT pipelines, APIs, relational databases, data warehouses/lakehouses, and structured and unstructured data.
Experience with modern software engineering and DevOps practices, including Git/GitHub, branching and pull-request workflows, automated testing, CI/CD, environment management, code review, and controlled production deployment.
Ability to assess business problems and determine whether AI is an appropriate solution.
Strong analytical, problem-solving, and communication skills, with the ability to work independently and collaborate effectively across teams.
Ability to understand and follow Bank BSA/AML and compliance policies and escalate suspicious activity to the BSA Officer as appropriate.
Ability to sit or stand for extended periods, use a keyboard and mouse, and walk to and from workstations.
Ability to frequently lift and/or move up to 10 pounds and occasionally lift and/or move up to 50 pounds.
Close vision and ability to adjust focus.

Nice To Haves

Experience with Snowpark, Cortex AI, Cortex Search, Cortex Agents, external stages, streams/tasks, dynamic tables, or related Snowflake capabilities is highly desirable.
Experience working with sensitive or highly regulated data is strongly preferred.
Experience in banking, financial services, fintech, or another regulated industry is highly desirable.

Responsibilities

Design, develop, test, deploy, and maintain AI, generative AI, machine learning, data engineering, and advanced analytics solutions addressing business needs across the Bank.
Partner with data and technology leadership to translate strategic AI and analytics objectives into technical requirements, priorities, and executable solutions.
Build and enhance Snowflake-centered data pipelines, integrations, APIs, and architecture to support analytics, AI applications, and data products.
Develop generative AI solutions using technologies and approaches such as Snowflake Cortex AI, Cortex Search, Cortex Agents, RAG, enterprise search, intelligent document processing, workflow automation, and internal knowledge tools, where appropriate.
Design modular AI architectures that support evaluation, integration, and substitution of models and providers while balancing performance, security, cost, and operational complexity.
Evaluate AI technologies, platforms, models, and vendors and recommend options based on business value, scalability, security, cost, and regulatory considerations.
Build prototypes and proofs of concept and transition viable solutions into production-ready applications, owning testing, deployment, monitoring, and ongoing support.
Partner with business teams to find opportunities for AI, automation, and advanced analytics to improve efficiency, reduce manual work, enhance decisions, and improve client and employee experiences.
Support the enterprise data environment, including data quality, accessibility, lineage, integration, and governance.
Create reusable frameworks, tools, and engineering standards to help expand AI capabilities efficiently.
Establish testing, evaluation, monitoring, and observability for AI solutions, including quality, accuracy, reliability, performance, security, cost, drift where applicable, and ongoing effectiveness.
Maintain technical documentation and AI solution inventory records, including models, prompts, agents, data sources, integrations, dependencies, and controls, with traceability throughout the solution lifecycle.
Work with Information Security, Risk, Compliance, Legal, and other control functions to develop and implement AI responsibly and in accordance with Bank policies and regulatory expectations.
Serve as a senior technical resource to the data and analytics team by providing guidance, troubleshooting complex challenges, sharing best practices, and building team capabilities.
Help create repeatable development and deployment processes that support efficient execution and scaling as the Bank grows.
Communicate complex technical concepts clearly to technical and non-technical stakeholders, including senior leadership.
Understand and follow Bank BSA/AML and compliance policies and elevate suspicious activity to the BSA Officer as appropriate.
Travel as needed to support the team, department, and initiatives.