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Entry Level Ai Infrastructure Engineer Jobs in Florida

Distributed systems and AI infrastructure You'll tackle challenging mathematical and engineering problems while building scalable, production-ready AI solutions in a highly collaborative and research ...

This is an entry-level role designed for a young generalist who wants to enter a fast- moving AI infrastructure startup - and grow quickly. You will work directly under the Director of Operations ...

... infrastructure. As an AI Agent & Automation Developer, you will design, implement, and deploy ... Engineer and manage context for agents to ensure they access the right information at the right ...

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IT Systems Administrator

Clearwater, FL ยท On-site

$65K - $80K/yr

Specialized engineering equipment AI Infrastructure Learn to deploy and support: * GPU servers * Offline AI model infrastructure * Local LLM environments * Engineering radio network servers Training ...

Job Summary of the AI/ML Engineer We are seeking an experienced AI Engineer to join our Center of ... Implement and maintain scalable AI and RPA infrastructure and frameworks * Integrate AI ...

AI Marketing Intern

Miami, FL ยท On-site

$14.25 - $19.25/hr

... of AI infrastructure. Our mission is to make sustainable renewable energy always available and ... Partner with our full-time engineer to build and ship agentic features. * Help translate brand ...

Position Summary The AI Engineer Intern helps turn AI strategies into functioning systems. Working ... Infrastructure & Operations * Contribute to observability and monitoring efforts, including error ...

Position Summary The AI Engineer Intern helps turn AI strategies into functioning systems. Working ... Infrastructure & Operations * Contribute to observability and monitoring efforts, including error ...

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Entry Level Ai Infrastructure Engineer information

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level positions in artificial intelligence, such as senior AI engineers, research directors, or executive roles, which offer compensation in that range including salary, bonuses, and stock options. Entry-level AI infrastructure engineers usually earn significantly less, with salaries often starting in the low six figures depending on experience and location.

Can you become an AI engineer with no experience?

Becoming an AI infrastructure engineer typically requires some background in programming, data structures, and machine learning concepts. While prior experience is helpful, entry-level roles often accept candidates who demonstrate strong technical skills, a willingness to learn, and relevant certifications or coursework in AI and cloud platforms. Building a portfolio through projects and gaining familiarity with tools like Python, TensorFlow, or cloud services can improve chances of entry without prior professional experience.

What engineer makes $500,000 a year?

While most entry-level AI infrastructure engineers do not earn that level of salary, senior AI or machine learning engineers with extensive experience, specialized skills, and advanced certifications can reach or exceed $500,000 annually, especially in high-demand industries or companies with competitive compensation packages. Such roles often require expertise in cloud platforms, large-scale data processing, and deep learning frameworks.

What is the difference between Entry Level Ai Infrastructure Engineer vs Data Engineer?

AspectEntry Level Ai Infrastructure EngineerData Engineer
Required CredentialsBachelor's in CS, EE, or related; familiarity with AI toolsBachelor's in CS, Data Science, or related; experience with databases
Work EnvironmentAI/ML teams, cloud platforms, infrastructure setupData pipelines, database management, cloud services
Industry UsageTech companies, AI startups, research labsFinance, healthcare, tech firms, data-driven industries

Entry Level Ai Infrastructure Engineers focus on building and maintaining AI infrastructure, including cloud and hardware setups, while Data Engineers primarily develop data pipelines and manage data storage. Both roles require technical skills and often overlap in cloud environments, but they serve different core functions within data and AI projects.

How to become an AI infrastructure engineer?

To become an AI infrastructure engineer, you should have a strong foundation in computer science, including knowledge of cloud platforms, networking, and hardware systems. Gaining skills in programming languages like Python and understanding AI frameworks, along with certifications in cloud services such as AWS or Azure, can enhance your qualifications. Practical experience with deploying and managing AI models and infrastructure is also essential.
What are the most commonly searched types of Ai Infrastructure Engineer jobs in Florida? The most popular types of Ai Infrastructure Engineer jobs in Florida are:
What are popular job titles related to Entry Level Ai Infrastructure Engineer jobs in Florida? For Entry Level Ai Infrastructure Engineer jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Entry Level Ai Infrastructure Engineer jobs in Florida look for? The top searched job categories for Entry Level Ai Infrastructure Engineer jobs in Florida are:
What cities in Florida are hiring for Entry Level Ai Infrastructure Engineer jobs? Cities in Florida with the most Entry Level Ai Infrastructure Engineer job openings:
Infographic showing various Entry Level Ai Infrastructure Engineer job openings in Florida as of July 2026, with employment types broken down into 85% Full Time, and 15% Contract. Highlights an 71% In-person, 7% Hybrid, and 22% Remote job distribution.
Entry-Level AI Solutions Engineer

Entry-Level AI Solutions Engineer

Kforce Technology Staffing

Port Saint Lucie, FL โ€ข On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 29 days ago


Job description

RESPONSIBILITIES:
Kforce has a client in Saint Louis, MO that is seeking an Entry-Level AI Solutions Engineer that supports business teams and IT leaders in identifying opportunities to leverage artificial intelligence. This role focuses on learning, assisting with solution design, and helping build and support AI-enabled tools that improve business processes. The ideal candidate is a hardworking, self-motivated learner who is eager to grow their AI skill set and leverage modern tools like Copilot and Claude. Candidates must sit in Greater Saint Louis and go onsite at least once a week. This role is a six-month contract to hire position.
Key Responsibilities:
* Partner with business stakeholders to learn and understand business needs, participate in team meetings, and assist in gathering requirements to identify opportunities for AI solutions
* Support senior team members in evaluating and designing AI solutions or documenting requirements for other IT teams when traditional solutions are more appropriate
* Assist in designing, building, testing, and deploying AI-powered tools such as Copilot agents and other automation solutions
* Help support and maintain AI solutions in production by troubleshooting issues, refining prompts, and assisting with updates to workflows
* Monitor usage and adoption of AI tools, track basic metrics, and help prepare reports and insights for stakeholders
* Collaborate with cross-functional teams to ensure solutions align with security, governance, and compliance standards
* Document processes, solution details, and lessons learned to support continuous improvement and knowledge sharing
REQUIREMENTS:
* Bachelor's degree in Computer Science, Data Analytics, Information Technology, or a related field
* 0-2 years of experience (internships, coursework, or hands-on projects acceptable) in AI, data, or software-related work
* Foundational understanding of AI concepts such as generative AI, large language models, and basic prompt design
* Strong willingness to learn new technologies and adapt in a fast-paced environment
* Experience or familiarity with AI tools such as Microsoft Copilot, Claude, or similar platforms
* Ability to communicate clearly with both technical and non-technical audiences
* Strong work ethic with a proactive, detail-oriented, and dependable approach to assigned tasks
Preferred Skills:
* Exposure to Microsoft Copilot, Copilot Studio, Azure AI, or similar tools through projects, coursework, or internships
* Basic understanding of data privacy, security, and responsible AI practices
* Familiarity with process improvement or workflow documentation
* Self-starter who actively explores new technologies and leverages AI tools (such as Copilot or Claude) to enhance productivity and learning
* Strong problem-solving skills and a collaborative mindset
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
By clicking ?Apply Today? you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.