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Ai Engineer Rbc Jobs in Oregon (NOW HIRING)

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$122K - $161K/yr

... RBC. Position Description Boosted.ai is seeking a highly motivated and results-driven Senior Software Engineer to play a pivotal role in designing and building advanced software solutions that ...

Ai Engineer Rbc information

How much does an AI engineer make in RBC?

An AI engineer at RBC typically earns between $80,000 and $130,000 annually, depending on experience, skills, and location. Salaries may also include bonuses and benefits, with higher compensation for those with advanced certifications or expertise in machine learning and data analysis.

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 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.

Which 3 jobs will survive AI?

AI engineers, healthcare professionals, and skilled tradespeople are expected to have high job security as these roles require complex problem-solving, human interaction, and specialized expertise that are difficult for AI to replicate. These jobs often involve critical thinking, creativity, and emotional intelligence, making them less susceptible to automation.

Is AI engineer a high paying job?

AI engineers typically earn high salaries due to the specialized skills required, such as expertise in machine learning, deep learning, and programming languages like Python. Compensation varies based on experience, location, and industry, but overall, AI engineering is considered a well-paying profession in the tech field.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior AI engineer or AI director, which offers compensation in that range including salary, bonuses, and stock options. These roles often require advanced skills in machine learning, deep learning, and data science, along with significant experience and leadership responsibilities.
What are popular job titles related to Ai Engineer Rbc jobs in Oregon? For Ai Engineer Rbc jobs in Oregon, the most frequently searched job titles are:
What cities in Oregon are hiring for Ai Engineer Rbc jobs? Cities in Oregon with the most Ai Engineer Rbc job openings:

$122K - $161K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago


Job description

Boosted.ai is building AI purpose-built for finance to help teams do more. Our mission is to optimize investing and boost productivity. We're already trusted by leading enterprises and developers with over $5T under management with Boosted.ai.

From the fastest growing hedge funds to global financial institutions, our tool lets our users stay ahead of the competition with AI that works for them. We believe that modern investment professionals will win the future of finance by using the best tools; a unique competitive edge powered by data, experimentation, and automation.

Boosted.ai is the platform they use to cut through data overload, outpace competitors, and reclaim their time. We're looking for sharp, low-ego people to help teams find their edge.

Why is Boosted.ai the best place to work?

  • Our product is used every day by investors at the world's largest financial institutions and most popular investment platforms
  • We're scaling quickly. We have ramped roughly 5 over the past year and growth is accelerating
  • We've built a culture people actively want to be part of. Many of our strongest applicants come from firms that already use Boosted.ai
  • We're well-capitalized and long-term focused, backed by investors who have helped define modern fintech and enterprise software, including Spark Capital, Ten Coves Capital, Portage Ventures, and RBC.

Position Description

Boosted.ai is seeking a highly motivated and results-driven Senior Software Engineer to play a pivotal role in designing and building advanced software solutions that empower organizations. Working closely with senior members of Boosted.ai's engineering and management teams, the ideal candidate will excel at developing scalable, high-performance systems to support our cutting-edge analytics platform.

As part of a dynamic and collaborative engineering team, this role requires someone excited by tackling complex challenges, strategizing innovative approaches, and delivering robust, impactful solutions. You will thrive in a fast-paced environment, owning projects from ideation to implementation, writing clean and maintainable code, and contributing to our ambitious growth goals.

The ideal candidate is a results-oriented engineer with a strong technical foundation, outstanding problem-solving skills, and a history of delivering high-quality software. You will be responsible for leading key initiatives, mentoring junior developers, and collaborating cross-functionally to scale our platform and deliver value to clients.

If you are a highly motivated, entrepreneurial self-starter with a natural curiosity and a passion for technology - we'd love to chat!

What You'll Do

  • Take ownership of the full software development lifecycle, including designing, developing, testing, and maintaining software solutions.
  • Collaborate with cross-functional teams, including product managers, data scientists, and other engineers, to develop scalable and high-performance systems.
  • Partner with clients and internal stakeholders to understand their needs and design solutions that optimize workflows and address complex technical challenges.
  • Work with large datasets, ensuring efficient processing, manipulation, and analysis.
  • Contribute to architectural decisions, proposing and implementing innovative solutions to technical problems.
  • Mentor and guide junior team members to promote growth and knowledge sharing within the engineering team.
  • Continuously evaluate and integrate emerging technologies to improve system performance and scalability.
  • Maintain a strong focus on writing clean, maintainable, and efficient code while adhering to best practices and coding standards.

What You'll Bring

  • Bachelor's, Master's, or PhD in Computer Science, Software Engineering, or a related field.
  • 3+ years of professional programming experience, with a strong focus on Python.
  • Solid understanding of data structures, algorithms, and their applications.
  • Experience building and optimizing distributed, scalable systems and high-performance applications.
  • Proficiency in working with large-scale datasets and implementing solutions for efficient data processing.
  • Strong problem-solving skills with the ability to make quick, thoughtful decisions in a fast-paced environment.
  • Excellent communication skills with a proven ability to collaborate effectively in a team-oriented environment.
  • Experience with machine learning, data analytics, or financial services is a bonus

Our Values

We are guided by a set of values that are at the core of our actions and define our culture. These principles are the foundation of our work, and we are committed to upholding them in everything we do.

  • Collaborative - We value our team and know that success can only come from working together
  • Client Centric - Our focus is always on our clients and consistently delivering them value
  • Action Oriented - We remove barriers and we seek to improve in measurable ways
  • Accountable - We are accountable for ourselves, and we hold each other accountable
  • Respectful - We are proud of our work, we are respectful of each other's opinions, and we keep a positive attitude

What we offer

We want our benefits to reflect our values and offer the following to full-time employees:

  • Flexible (Unlimited) Paid Time Off
  • Medical, Dental, and Vision benefits for you and your family
  • Life Insurance and Disability Benefits
  • Access to a 401(k) retirement savings plan (for U.S. employees)
  • Paid Parental Leave
  • Free access to use Boosted.ai Alfa to make money
  • We love the energy of in-person collaboration while also offering the flexibility to work from home when needed

These benefits are further detailed in Boosted.ai's policies and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Boosted.ai's equity plans subject to the terms of the applicable plans and policies.

Be you, with us

We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.