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Ai Engineer Rbc Jobs in La Mirada, CA (NOW HIRING)

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Ai Engineer Rbc information

See La Mirada, CA salary details

$44.4K

$107.4K

$175.1K

How much do ai engineer rbc jobs pay per year?

As of Aug 26, 2026, the average yearly pay for ai engineer rbc in La Mirada, CA is $107,366.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,700.00 and $133,700.00 per year, depending on experience, location, and employer.

What does an AI engineer do at RBC?

An AI Engineer at RBC (Royal Bank of Canada) is responsible for designing, developing, and implementing artificial intelligence solutions to solve business problems and improve banking services. Their work often involves building machine learning models, deploying AI algorithms, and collaborating with data scientists and software engineers. AI Engineers at RBC may also work on projects such as fraud detection, personalized banking, and process automation. They use programming languages like Python and tools such as TensorFlow or PyTorch. The goal is to enhance customer experience and drive innovation within the bank.

What are some common challenges AI engineers at RBC face when integrating AI solutions into existing banking systems?

AI Engineers at RBC often encounter challenges related to integrating advanced AI models with the bank's legacy systems, which may not have been designed for modern data processing or machine learning workflows. Ensuring data privacy and regulatory compliance is also a key concern, given the sensitive nature of financial data. Effective collaboration with cross-functional teams—including data scientists, software developers, and business analysts—is essential to align technical solutions with business goals and to ensure smooth deployment and maintenance of AI applications.

What are the key skills and qualifications needed to thrive as an AI engineer at RBC, and why are they important?

To thrive as an AI Engineer at RBC, you need a strong background in computer science, machine learning, and data analysis, typically supported by a relevant degree and experience with AI frameworks. Proficiency in programming languages like Python, TensorFlow, PyTorch, and familiarity with cloud platforms and data engineering tools is essential. Problem-solving abilities, teamwork, and effective communication are crucial soft skills for collaborating on complex projects and translating business needs into technical solutions. These competencies ensure the successful development, deployment, and integration of AI solutions that drive innovation and efficiency within the organization.

What is the difference between Ai Engineer Rbc vs Data Scientist?

AspectAi Engineer RbcData Scientist
Required CredentialsBachelor's or higher in CS, AI, or related fields; certifications in AI/MLBachelor's or higher in CS, Statistics, or related fields; certifications in data analysis or ML
Work EnvironmentFinancial institutions, tech firms, AI development teamsResearch labs, finance, healthcare, tech companies
Employer & Industry UsageBanking, finance, AI product developmentData analysis, predictive modeling across industries

While both roles involve AI and machine learning, Ai Engineer Rbc focuses on developing AI solutions within RBC's financial services, whereas Data Scientists analyze data to inform business decisions across various industries. The roles share similar credentials but differ in their primary focus and application environment.

What cities near La Mirada, CA are hiring for Ai Engineer Rbc jobs?

Cities near La Mirada, CA with the most Ai Engineer Rbc job openings:

Ai Engineer Rbc jobs near you

AVP, Insurance Solutions Strategist

The TCW Group

Los Angeles, CA • On-site

$130K - $169K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Position Summary
We are looking for an intellectually curious and technically skilled Solutions Strategist to join our Insurance Solutions team in the Los Angeles office. The Strategist will analyze insurance capital frameworks, build capital models, develop capital efficient portfolio constructions, and create customized analyses for insurance clients. They will work closely with investment, sales, and solutions structuring teams to build insurance investment solutions leveraging all investment capabilities at TCW.
Essential Duties
  • Build global insurance capital models. For example, US NAIC RBC, US Basel III, Bermuda BSCR, Japan J-ICS, EU Solvency II, and the international ICS
  • Build analytical tools for insurance portfolio management, client service, and customized solutions structuring. For example, portfolio construction and optimization tools, portfolio management dashboards, capital efficient portfolio construction tools, and insurance scenario analysis tools
  • Create customized analyses for insurance clients
  • Work with the Product Management and Client Service teams to systematize client reporting functionalities
  • Work with the Risk Management team to leverage the risk infrastructure for the Insurance business
  • Work with the Engineering Solutions team to institutionalize the models and tools, and represent the business team to supervise production procedures
  • Work with software and data vendors to facilitate insurance solutions systems and processes

Required Qualifications
  • Advanced training in Mathematics, Statistics, Computer Science, Economics, or another highly technical field
  • Strong knowledge in fixed income
  • Familiarity with insurance regulatory capital frameworks
  • Minimum of two years professional experience in solutions structuring, quantitative analysis, or portfolio management in an investment management firm, an insurance company, or a bank
  • Minimum of two years professional experience coding in Python and SQL
  • Prior experience working in a data driven research environment
  • Experience with translating complex concepts and mathematical models into code
  • Strong and efficient research capabilities, with an ability to assess and analyze a wide range of financial and alternative data sources

Professional Skills Qualifications
  • Intellectual curiosity: Strong capability to explore new and complex concepts and datasets
  • Reliability: Motivated self-starter that needs minimal supervision
  • Adaptability: Comfortable with unstructured data that needs approximation, estimation, and judgement
  • Analytical capability: Strong quantitative and qualitative analytical skills as demonstrated by accurate, thorough, and creative analyses
  • Communication: Strong communication skills to interface with colleagues, clients, prospects, and consultants

Desired Qualifications
  • CFA and FSA charter or candidacy
  • Past experience using or creating credit default models
  • Past experience with creating NLP, Machine Learning, and Generative AI tools in professional and/or academic settings

This role requires candidates to work from a TCW office a minimum of four days a week. Flexibility for remote work is offered on one day, depending on business needs.
Estimated Compensation:
Base Salary: For a CA based positions, the base salary range is 180k - 200k. This represents base salary range only.
Other Compensation:In addition to the base salary, this position will be eligible to be considered for an annual discretionary bonus.
Benefits: Eligible for TCW's comprehensive benefits package.
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