Sr. AI Engineer

CalPrivate Bank; Brea (CA); Vor Ort; USD 145.000 - 172.000; Vollzeit

Zusammenfassung

CalPrivate Bank in the United States is seeking a Senior AI Engineer to translate business strategy into executable AI, generative AI, and analytics solutions on a Snowflake-centered foundation, with a focus on trust and production-ready delivery. This onsite role is based in Brea, CA.

You will design and maintain data pipelines, build modular AI architectures, and collaborate with Security, Risk, Compliance, and Legal to ensure responsible development in a highly regulated banking environment.

Qualifikationen

• Advanced experience in AI engineering, ML, data engineering, or related discipline.
• Strong proficiency in Python and SQL with modern software practices.
• Experience deploying production AI, generative AI, data, and analytics applications.
• Hands-on with generative AI technologies including LLMs, embeddings, vector databases, RAG, AI agents, workflows.
• Strong Snowflake experience: data pipelines, security/access patterns, production workloads.
• Experience with Microsoft Azure (Functions, Storage) and Snowpark/Cortex capabilities.

Aufgaben

• Design, develop, test, deploy, and maintain AI, generative AI, ML, data engineering, and analytics solutions.
• Partner with data and tech leadership to translate AI goals into requirements and priorities.
• Build Snowflake-centered data pipelines, integrations, APIs, and architectures for analytics and AI apps.
• Develop prototypes and transition viable solutions to production with testing, deployment, and monitoring.
• Collaborate with business teams to identify opportunities where AI can improve efficiency or decision-making.
• Support data governance, quality, lineage, and access controls across AI initiatives.
• Explain complex concepts to technical and non-technical stakeholders, including leadership.

Kenntnisse

Python

SQL

Snowflake

Snowpark

Cortex AI

Cortex Search

Cortex Agents

Azure Functions

Azure Storage

Git/GitHub

CI/CD

Data pipelines

Tools

Snowflake Cortex

RAG

Embeddings

Vector databases

APIs

CI/CD tooling

Testing frameworks

Jobbeschreibung

CalPrivate Bank is advancing its data analytics and artificial intelligence capabilities in a highly regulated banking environment, with a focus on responsible governance and production-ready delivery. The Senior AI Engineer role translates business needs and strategy into executable AI, generative AI, and analytics solutions, with a Snowflake-centered foundation and model workflows designed for trust and scalability.

This position is based onsite in Brea, CA, with an annual salary range of USD 145,000 - 172,000. The role supports the Bank’s enterprise data environment while building reusable engineering standards and evaluation practices for AI solutions.

Key Responsibilities

• Design, develop, test, deploy, and maintain AI, generative AI, machine learning, data engineering, and advanced analytics solutions aligned to business needs.
• Partner with data and technology leadership to convert strategic AI and analytics goals into technical requirements, development priorities, and implementable solutions.
• Build and improve Snowflake-centered data pipelines, integrations, APIs, and architectures that support analytics, AI applications, and data products.
• Develop solutions using large language models and generative AI, including Snowflake Cortex AI, Cortex Search, Cortex Agents, retrieval-augmented generation (RAG), enterprise search, intelligent document processing, workflow automation, and internal knowledge tools where appropriate.
• Create modular AI architectures that enable evaluation, integration, and substitution of AI models and providers while balancing performance, security, cost, and operational complexity.
• Evaluate emerging AI technologies, platforms, models, and vendors, then recommend options based on business value, scalability, security, cost, and regulatory considerations.
• Develop prototypes and proofs of concept and transition viable solutions into stable, production-ready applications, including testing, deployment, monitoring, and ongoing support.
• Partner with business teams to identify where AI, automation, or advanced analytics can improve efficiency, reduce manual work, enhance decision-making, or improve client and employee experience.
• Support the enterprise data environment, including data quality, accessibility, lineage, integration, and governance.
• Create reusable frameworks, tools, and engineering standards that help the Bank expand AI capabilities without isolated one-off solutions.
• Establish testing, evaluation, monitoring, and observability for AI solutions, including quality, accuracy, reliability, performance, security, cost, and drift where applicable.
• Maintain technical documentation and inventory records covering models, prompts, agents, data sources, integrations, dependencies, and controls to support traceability across lifecycle stages.
• Collaborate with Information Security, Risk, Compliance, Legal, and other control functions to ensure responsible development and implementation in line with Bank policies and regulatory expectations.
• Act as a senior technical resource to the broader data and analytics team through guidance, troubleshooting, and best-practice sharing.
• Help define repeatable development and deployment processes that support efficient execution and scaling as the Bank grows.
• Explain complex technical concepts to both technical and non-technical stakeholders, including senior leadership.
• Apply expertise in data privacy, cybersecurity, model risk, third-party risk, explainability, access controls, human oversight, and regulatory compliance.
• Report suspicious activity to the BSA Officer as appropriate and follow the Bank’s BSA/AML policies, escalating suspicious activity to the BSA Officer.

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 including large language models, prompt engineering, embeddings, vector databases, RAG, AI agents, and workflow orchestration or model/API integration.
• Strong hands-on experience with Snowflake, including data engineering, data pipelines, security and access patterns, integrations, and production workloads.
• Experience with Snowpark and Snowflake Cortex capabilities (Cortex AI, Cortex Search, Cortex Agents, external stages, streams/tasks, dynamic tables) is highly desirable.
• Hands-on experience integrating data and AI solutions with Microsoft Azure, especially 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, CI/CD, automated testing, environment management, code review, and controlled production deployment.
• Ability to assess business problems and determine when AI is the right fit.
• Strong analytical, problem-solving, and communication skills, with independence and effective cross-team collaboration.
• Experience working with sensitive or highly regulated data is strongly preferred, including banking, financial services, fintech, or similar regulated industries.
• Leads with accountability, integrity, consistency; supports transparency and follow-through; maintains professionalism and composure under pressure.
• Embraces data-driven decision-making with a client-first perspective.

Technologies

• Python, SQL
• Snowflake, Snowpark, Cortex AI, Cortex Search, Cortex Agents
• Retrieval-augmented generation (RAG), enterprise search, intelligent document processing, workflow automation
• Large language models, generative AI, machine learning, embeddings, vector databases, AI agents, workflow orchestration, model/API integration
• Microsoft Azure, Azure Functions, Azure Storage/Blob Storage
• ETL/ELT, APIs, relational databases, data warehouses/lakehouses
• Git, GitHub, CI/CD, CI, CD, observability
• Dynamic tables, external stages, streams/tasks

Location

• Los Angeles, Orange County, San Diego

Responsible AI & Banking Environment

Because AI in financial services must be implemented thoughtfully, the Senior AI Engineer is expected to approach development with strong understanding of data privacy, cybersecurity, model risk, third-party risk, explainability, access controls, human oversight, and regulatory compliance. The goal is to build sustainable capabilities that employees and leadership can trust and that support the Bank’s long-term strategy.

AML/CFT/Compliance Responsibilities

• This role includes direct or indirect interaction with customers and other employees and includes responsibilities related to BSA/AML.
• The employee may examine and view information and documents produced by others relating to BSA and therefore must report suspicious activity to the BSA Officer as appropriate.
• The employee is responsible for understanding and following the Bank’s BSA/AML policies, including escalating suspicious activity to the BSA Officer.

Physical Demands

• May require some travel to support team, department, and initiatives.
• Ability to sit or stand for extended periods of time.
• Ability to use a keyboard and mouse.
• Ability to walk to and from workstations.
• Ability to frequently lift or move up to 10 lbs and occasionally lift or move 50 lbs.
• Specific vision abilities required include close vision and ability to adjust focus.