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Ai New Grad Jobs (NOW HIRING)

Triwill Group

$135 - $155/hr

# Software Engineer, New Grad (Dec 2026)RemoteSan Francisco, CaliforniaAll jobsRemote jobsRemote ... From building a business's system of record to making and managing AI agents to automating away the ...

Nooks

Software Engineer, New Grad

San Francisco, CA · On-site

$155K - $170K/yr

We design AI agents that operate across the full sales action set, from account strategy to ... What You'll Do As a new graduate engineer, you'll work across the stack and collaborate closely ...

Imh

New Graduate Registered Nurse Oncology

New Roads, LA · On-site

$37.45 - $57.29/hr

The New Grad RN position is for recent RN graduates or those with less than one year of RN ... At Intermountain Health, we usethe artificial intelligence ("AI") platform, HiredScore to improve ...

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How much do ai new grad jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for ai new grad in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

What is an AI new grad?

AI New Grad roles are entry-level positions in the field of artificial intelligence (AI) designed for recent graduates from undergraduate or graduate programs. These roles typically involve working on machine learning, data analysis, natural language processing, or computer vision projects under the supervision of experienced engineers or researchers. AI New Grads gain practical experience, contribute to real-world AI solutions, and often receive mentorship to help them grow into more advanced roles in the industry.

What are common challenges new graduates face when starting in an AI role, and how can they overcome them?

New graduates entering AI roles often face challenges such as bridging the gap between academic theory and real-world application, adapting to collaborative team environments, and keeping pace with rapidly evolving technologies. To overcome these, it's helpful to seek mentorship from experienced colleagues, actively participate in code reviews, and engage in continuous learning through online courses or internal training. Embracing collaboration and asking questions early can accelerate the learning curve and help new grads contribute effectively to projects.

What are the key skills and qualifications needed to thrive as an AI new grad, and why are they important?

To thrive as an AI New Grad, you need a solid understanding of machine learning, programming (Python, TensorFlow, or PyTorch), and a degree in computer science or a related field. Familiarity with version control systems like Git, cloud platforms such as AWS or Google Cloud, and coursework or certifications in data science are typically expected. Critical thinking, strong problem-solving ability, and effective communication set standout candidates apart in collaborative, fast-paced environments. These skills and qualities ensure you can contribute to innovative projects, adapt to new technologies, and work well within technical teams.
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Infographic showing various Ai New Grad job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 64% Physical, 4% Hybrid, and 32% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.

New Grad - 2027 - Data Engineering

LPL Financial Holdings, Inc.

Fort Mill, SC • On-site

$30.05 - $50.05/hr

Full-time

Medical, Retirement, PTO

Posted 11 days ago

LPL Financial rating

7.4

Company rating: 7.4 out of 10

Based on 72 frontline employees who took The Breakroom Quiz

119th of 151 rated financial services

Job description

Job Overview:
LPL Financial is seeking a motivated Data Engineering new grad to help build and optimize the data platforms that power analytics, business intelligence, and AI-driven decision-making. In this role you'll work with data engineering, analytics, and data product teams to develop data pipelines, support reporting and insights, and contribute to AI and Generative AI initiatives. This role is ideal for recent graduates who are passionate about data, technology, and using intelligent solutions to solve business challenges and drive client value.
Responsibilities:
  • Assist in building and maintaining data pipelines that ingest, process, and transform data from multiple sources.

  • Support the development and optimization of data platforms, warehouses, lakes, and reporting solutions.

  • Analyze, validate, and monitor data to ensure accuracy, quality, and reliability.

  • Partner with data engineers, analysts, product managers, and business stakeholders to support analytics, reporting, and AI use cases.

  • Contribute to the development of data products by gathering requirements, documenting business needs, and supporting product lifecycle activities.

  • Leverage automation and AI-enabled tools to improve data workflows, operational efficiency, and insight generation.

  • Assist with troubleshooting data pipeline issues, performance monitoring, and process optimization.

  • Document data architectures, workflows, and technical specifications.

What are we looking for?
We're looking for strong collaborators who deliver exceptional client experiences and thrive in fast-paced, team-oriented environments. Our ideal candidates pursue greatness, act with integrity, and are driven to help our clients succeed. We value those who embrace creativity, continuous improvement, and contribute to a culture where we win together and create and share joy in our work.
Requirements:
  • Completed bachelor's or master's degree in Computer Science, Management Information Systems (MIS), Data Science, Analytics, Engineering, Mathematics, or a related field.

  • Available to work from of LPL Financials' primary office locations

Core Competencies:
  • Data Engineering Fundamentals - Understanding of data pipelines, data modeling, data transformation, and data quality concepts.

  • Analytics & Business Insight - Ability to analyze data, identify trends, and support data-driven decision-making.

  • Product & Stakeholder Mindset - Interest in translating business needs into data products and meaningful solutions.

  • AI & Innovation - Curiosity about AI, Generative AI, machine learning, and how intelligent technologies

Preferences:
  • Previous internship experience within a large-scale enterprise environment

  • Experience with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP), including cloud-based data storage and processing services.

  • Exposure to modern data engineering technologies, including Snowflake, Databricks, Redshift, BigQuery, Apache Spark, or Apache Kafka.

  • Proficiency in SQL and familiarity with Python or other programming languages used to build, automate, and optimize data pipelines.

  • Experience with ETL/ELT processes, data modeling, and workflow orchestration tools such as Airflow, dbt, or similar technologies.

  • Familiarity with Git, Agile development practices, and data visualization tools such as Power BI, Tableau, or Looker.

Priority Application Date: September 21 at 11:59 PM PST
PLEASE NOTE: This role follows a priority application approach. Candidates who apply by this date will receive priority consideration, and we anticipate that most hiring decisions will be made following the priority application date. Candidates are encouraged to apply early, as applications will be reviewed on a rolling basis.
Disclaimer for international students:
  • At this time, for our early career program positions, we're unable to consider candidates who require sponsorship now or in the future. For other positions, within LPL it will depend on the specific position.

  • You will be responsible for obtaining and providing to LPL the required I-9 documentation as part of our onboarding process.

  • Positions offered are for full-time work at 40 hours per week.

  • Please consult your Designated School Official to confirm your eligibility with your school ability prior to applying.

Pay Range:
$30.05-$50.05/hour
Actual base salary varies based on factors, including but not limited to, relevant skill, prior experience, education, base salary of internal peers, demonstrated performance, and geographic location. Additionally, LPL Total Rewards package is highly competitive, designed to support your success at work, at home, and at play - such as 401K matching, health benefits, employee stock options, paid time off, volunteer time off, and more. Your recruiter will be happy to discuss all that LPL has to offer!
Company Overview:
LPL Financial Holdings Inc. (Nasdaq: LPLA) is among the fastest growing wealth management firms in the U.S. As a leader in the financial advisor-mediated marketplace(6) , LPL supports over 32,000 financial advisors and the wealth management practices of approximately 1,100 financial institutions, servicing and custodying approximately $2.3 trillion in brokerage and advisory assets on behalf of approximately 8 million Americans. The firm provides a wide range of advisor affiliation models, investment solutions, fintech tools and practice management services, ensuring that advisors and institutions have the flexibility to choose the business model, services, and technology resources they need to run thriving businesses. For further information about LPL, please visit www.lpl.com.
At LPL, independence means that advisors and institution leaders have the freedom they deserve to choose the business model, services, and technology resources that allow them to run a thriving business. They have the flexibility to do business their way. And they have the freedom to manage their client relationships, because they know their clients best. Simply put, we take care of our advisors and institutions, so they can take care of their clients.
For further information about LPL, please visit www.lpl.com.
Join the LPL team and help us make a difference by turning life's aspirations into financial realities. Please log in or create an account to apply to this position. Principals only. EOE.
Information on Interviews:
LPL will only communicate with a job applicant directly from an @lplfinancial.com email address and will never conduct an interview online or in a chatroom forum. During an interview, LPL will not request any form of payment from the applicant, or information regarding an applicant's bank or credit card. Should you have any questions regarding the application process, please contact LPL's Human Resources Solutions Center at (855) 575-6947.
EAC 5.19.26

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