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Ai Engineer Rbc Jobs in Texas (NOW HIRING)

AI doesn't run without power, and that's us. Giga is the picks and shovels behind the AI revolution ... Coordinate across legal, engineering, and operations on deal workstreams - manage timelines ...

... enterprise AI era. Established enterprises worldwide - including RBC Capital Markets, Bosch ... engineer(s) and others. * Ultimately, accountable to win new business, and in the process will ...

... enterprise AI era. Established enterprises worldwide - including RBC Capital Markets, Bosch ... engineer(s) and others. * Ultimately, accountable to win new business, and in the process will ...

What you'll do The AI infrastructure buildout is the largest capital deployment cycle since the ... Coordinate across legal, engineering, and operations on deal workstreams - manage timelines ...

Ai Engineer Rbc information

How much do RBC AI engineers make?

AI engineers at RBC typically earn between $80,000 and $130,000 annually, depending on experience, education, and specific responsibilities. Senior roles or those with specialized skills in machine learning and data analysis may earn higher salaries, often supplemented with bonuses and benefits.

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 develops and implements artificial intelligence and machine learning models to improve banking services, risk management, and customer experience. They work with data scientists and software engineers, often using tools like Python, TensorFlow, and cloud platforms, to create scalable AI solutions aligned with financial industry standards.

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 is a $900,000 AI job?

A $900,000 AI job typically refers to a highly senior or specialized role in artificial intelligence, such as an AI Director, Lead Data Scientist, or Machine Learning Executive, often requiring advanced skills, extensive experience, and leadership responsibilities. Such positions may involve overseeing AI projects, developing innovative algorithms, and managing large teams, with compensation reflecting the level of expertise and impact. These roles are usually found in large tech companies, finance, or healthcare sectors and may include bonuses, stock options, or other incentives.

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 are popular job titles related to Ai Engineer Rbc jobs in Texas? For Ai Engineer Rbc jobs in Texas, the most frequently searched job titles are:
What cities in Texas are hiring for Ai Engineer Rbc jobs? Cities in Texas with the most Ai Engineer Rbc job openings:

Project Finance Associate

Giga Energy

Houston, TX • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 24 days ago


Job description

Why join Giga
  • The Pace: We're building at a speed most companies talk about but never actually operate at. If you've been bored somewhere else, you won't be here.
  • The Impact: Every person at Giga touches the work that matters. No layers, no waiting for approval chains. You'll see your fingerprints on what we ship.
  • The Team: A team of operators defining the future of AI infrastructure. We recruit A-players from the most innovative companies in the world, and they choose Giga because the work here means more.
  • The Moment: AI doesn't run without power, and that's us. Giga is the picks and shovels behind the AI revolution. This industry is about to explode, and you'll be in the room where it's already happening.

What you'll do
The AI infrastructure buildout is the largest capital deployment cycle since the Industrial Revolution. Hundreds of billions of dollars will flow into power and data center assets over the next decade, and Giga is building the financing playbooks that will define how this industry gets funded. This role puts you at the center of that - early.
As a Project Finance Associate, you will support capital formation across Giga's growing portfolio of power generation and data center assets. You'll work directly with senior leadership on live deal execution, build and own the financial models that go in front of lenders and investment committees, and get hands-on exposure to the full capital stack - from non-recourse debt and construction financing to tax equity and sponsor equity. You'll grow into a dealmaker by doing the work, not watching it.
Where you'll work
This role is ideally based in our San Francisco, Long Beach, or Houston offices, with full-time onsite expectations outside of bi-weekly WFH Fridays. That said, we will make exceptions for truly exceptional talent if you live outside one of our hubs and expect to find this talent in NYC. If you're the right person for this role, we'll have a conversation about what works.
Responsibilities
  • Support deal execution across the full project finance lifecycle - from initial underwriting and lender diligence to term sheet negotiation, closing, and post-close compliance.
  • Own financial modeling - build and maintain project finance models from scratch, sculpt debt against complex cash flows, and stress-test assumptions ahead of credit committee and lender review.
  • Assist in structuring capital solutions across the stack - senior debt, construction financing, tax equity, back-leverage, and holdco facilities - under the direction of senior team members.
  • Prepare lender and investor-facing materials - information memoranda, financial presentations, project summaries, and credit narratives that tell Giga's story clearly and credibly.
  • Support lender and investor relationship management - coordinate diligence requests, track open items, and maintain organized deal data rooms across active transactions.
  • Drive internal financial infrastructure - help build and refine model templates, underwriting standards, reporting cadences, and lender compliance tracking systems as deal volume grows.
  • Coordinate across legal, engineering, and operations on deal workstreams - manage timelines, consolidate inputs, and keep transactions moving.
  • Stay current on market conditions - track financing trends, benchmark terms, and flag relevant developments in power, data center, and infrastructure finance markets.
Requirements
  • 2-5 years of experience in project finance, structured finance, infrastructure finance, or investment banking with meaningful exposure to infrastructure or energy assets.
  • Strong financial modeling skills - comfortable building a project finance model from a blank spreadsheet and defending assumptions in front of senior stakeholders.
  • Familiarity with capital structure concepts across debt, equity, and tax equity - you understand how deals are layered and why structure matters.
  • High attention to detail and strong organizational instincts - you can manage multiple workstreams simultaneously without things slipping.
  • Clear written and verbal communication - you can translate complex financial concepts into clean, credible narratives for lenders and internal stakeholders.
  • High agency and a builder's mindset - you're energized by early-stage environments and take ownership rather than waiting to be directed.
Bonus points
  • Experience on infrastructure, energy, or data center financings - either on the buy side, sell side, or at a developer.
  • Familiarity with ITC/PTC tax credit structures and Inflation Reduction Act transferability provisions.
  • Background at an infrastructure-focused investment bank (Macquarie, Guggenheim, RBC, MUFG, KeyBanc) or infrastructure fund (Stonepeak, GIP, Brookfield, IFM).
  • Exposure to equipment-level financing, sale-leaseback structures, or asset-backed lending.
  • MBA, CFA, or graduate degree in a quantitative field - or actively pursuing one.
  • Prior experience at a high-growth company - you know what it looks like when pace outstrips infrastructure, and you're energized by it.
Benefits
  • Subsidized health, dental, and vision insurance
  • Equity (options) in a rapidly growing startup
  • 401(k) with 4% employer match
  • Unlimited PTO
  • Parental leave
  • Healthcare and Dependent Care Flexible Spending Accounts (FSA) or Health Savings Account (HSA)
  • Commuter benefits

Who we hire
We hire people who thrive in chaos and get sharper under pressure. You don't wait to be told what to do, you spot the gap and fill it. When there's work to be done, you do it. You make decisions with the information you have, move fast, and adjust along the way. We're not looking for perfect; we're looking for people who get things done.
Equal Opportunity Employer Statement
Giga Energy is an equal opportunity employer and is committed to fostering an inclusive and diverse workplace. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Giga Energy complies with all applicable labor laws, including the California Fair Employment and Housing Act (FEHA) and other relevant state and federal regulations. We provide reasonable accommodations for qualified individuals with disabilities and encourage applicants who require accommodations during the hiring process to contact us.