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Entry Level Google Cloud Platform Jobs in Raleigh, NC

We are looking for an entry-level Digital Marketer to join our team. No prior marketing experience ... Learn and work with marketing platforms such as HubSpot, Google Analytics, and social media tools.

We are looking for an entry-level Digital Marketer to join our team. No prior marketing experience ... Learn and work with marketing platforms such as HubSpot, Google Analytics, and social media tools.

Software Engineer

Raleigh, NC · On-site +1

$115K - $185K/yr

... and Google Workspace. * Implement tagging strategies and policies to allocate cloud costs to ... Ansible development, including Ansible Automation Platform; AWS development, including ECS ...

Showing results 21-40

Entry Level Google Cloud Platform information

See Raleigh, NC salary details

$32.6K

$67.8K

$93.8K

How much do entry level google cloud platform jobs pay per year?

As of Aug 10, 2026, the average yearly pay for entry level google cloud platform in Raleigh, NC is $67,843.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,500.00 and $84,600.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the entry level Google Cloud Platform position, and why are they important?

To thrive as an Entry Level Google Cloud Platform professional, you should have foundational knowledge of cloud computing concepts, basic programming or scripting skills, and a relevant degree or coursework in IT or computer science. Familiarity with Google Cloud Platform services, tools such as Google Cloud Console, and entry-level certifications like Google Associate Cloud Engineer are often required. Strong problem-solving skills, willingness to learn, and effective communication are valued soft skills in this role. These attributes help ensure you can efficiently support cloud environments, collaborate with teams, and adapt to rapidly evolving technologies.

What types of projects or tasks will I work on as an entry level Google Cloud Platform employee?

As an Entry Level Google Cloud Platform professional, you can expect to assist in deploying cloud infrastructure, managing virtual machines, and supporting the migration of on-premises data to the cloud. Your tasks may include monitoring system health, troubleshooting technical issues, and helping to implement basic security measures. You will typically work under the guidance of more experienced engineers and collaborate closely with cross-functional teams, such as developers and IT support staff. This hands-on experience will help you build a solid foundation in cloud technologies and open doors for advancement into more specialized roles.

What is an entry level Google Cloud Platform?

An Entry Level Google Cloud Platform (GCP) job typically involves working with Google's cloud services to assist in tasks such as cloud deployment, system monitoring, and basic troubleshooting. Professionals in this role may help set up virtual machines, manage cloud storage, and ensure that cloud applications run efficiently. Common positions include Cloud Support Associate, Junior Cloud Engineer, or Cloud Analyst. Basic knowledge of GCP services, networking, and scripting languages like Python or Bash is beneficial. Many employers seek candidates with a GCP Associate certification or relevant coursework in cloud computing.

What are popular job titles related to Entry Level Google Cloud Platform jobs in Raleigh, NC? For Entry Level Google Cloud Platform jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Entry Level Google Cloud Platform jobs in Raleigh, NC look for? The top searched job categories for Entry Level Google Cloud Platform jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Entry Level Google Cloud Platform jobs? Cities near Raleigh, NC with the most Entry Level Google Cloud Platform job openings:
Infographic showing various Entry Level Google Cloud Platform job openings in Raleigh, NC as of August 2026, with employment types broken down into 55% Full Time, 41% Part Time, and 4% Contract. Highlights an 77% Physical, 3% Hybrid, and 20% Remote job distribution, with an average salary of $67,843 per year, or $32.6 per hour.

Sr AI Engineer (RAG Specialist with Strong Python Skills)

RELX

Raleigh, NC • Hybrid

$104K - $174K/yr

Full-time

Posted 26 days ago


Job description

*** PLEASE NOTE: This role is on-site/hybrid in Raleigh, NC ***

Are you passionate about building next-generation AI solutions that transform how professionals work with information and insights?

Do you thrive on solving complex challenges with Retrieval-Augmented Generation (RAG), agentic AI systems, and cloud-native machine learning technologies?

About our Team

LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX (http://www.relx.com), a global provider of information-based analytics and decision tools for professional and business customers. Our company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model from today's top model creators for each individual legal use case. The company employs over 2,000 technologists, data scientists, and experts to develop, test, and validate solutions in line with RELX Responsible AI Principles (https://stories.relx.com/responsible-ai-principles/index.html).

About the Role

We are seeking a highly skilled AI Engineer with expertise in Retrieval-Augmented Generation (RAG) and strong Python programming skills to join our innovative team. The ideal candidate will have a deep understanding of AI and machine learning principles, experience with RAG models, and a passion for developing cutting-edge AI solutions.

Key Responsibilities:

  • Test, evaluate and and implement AI models with a focus on Retrieval-Augmented Generation (RAG).

  • Strong prompt engineering and prompt testing skills to derive the desired outcome

  • Collaborate with cross-functional teams to integrate AI solutions into existing systems.

  • Optimize and fine-tune RAG models for performance and scalability cost saving.

  • Conduct research and stay up-to-date with the latest advancements in AI and machine learning.

  • Design, build, and deploy agentic AI systems capable of autonomous planning, tool use, and multi-step task execution using frameworks such as LangGraph, AutoGen, or CrewAI.

  • Architect and deploy AI/ML and RAG solutions on AWS, leveraging services such as SageMaker, Bedrock, Lambda, and S3.

  • Write clean, efficient, and maintainable code in Python.

  • Perform data preprocessing, feature engineering, and model evaluation.

  • Troubleshoot and debug AI models and applications in a mono-repo settings.

  • Document AI models, processes, and workflows.

Qualifications:

  • Proven experience as an AI Engineer or similar role.

  • Strong proficiency in Python programming.

  • In-depth knowledge of Retrieval-Augmented Generation (RAG) models.

  • Proven experience in prompt engineering

  • Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch).

  • Proficiency in data preprocessing and feature engineering techniques.

  • Hands-on experience building agentic AI applications, including tool/function calling, multi-agent orchestration, and autonomous workflow design.

  • Demonstrated experience with AWS cloud services (e.g., SageMaker, Bedrock, Lambda, EC2, S3) for developing and deploying AI/ML solutions.

  • Excellent problem-solving skills and attention to detail.

  • Strong communication and teamwork abilities.

Preferred Skills:

  • Experience with cloud platforms, particularly AWS (e.g., SageMaker, Bedrock, Lambda, ECS/EKS, S3); familiarity with Azure or Google Cloud is a plus.

  • Experience with agentic AI frameworks and tooling (e.g., LangGraph, LangChain, AutoGen, CrewAI, AWS Bedrock Agents, Model Context Protocol).

  • AWS certification (e.g., AWS Certified Machine Learning - Specialty or AWS Certified Solutions Architect).

  • Knowledge of natural language processing (NLP) techniques.

  • Familiarity with version control systems (e.g., Git).

  • Experience with deploying AI models in production environments.

Work in a Way That Works for You

We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.

Working Pattern

Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive.

About the Business

LexisNexis Legal & Professional provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis and Nexis services. #AIFluent

U.S. National Base Pay Range: $104,900 - $174,700. Geographic differentials may apply in some locations to better reflect local market rates. This job is eligible for an annual incentive bonus.

We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.

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