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Ai Operations Jobs in Florida (NOW HIRING)

ABOUT INITIO CAPITAL Initio Capital is hiring for this role and related opportunities across consulting, finance, product, software, AI, operations, market research, and growth-focused workstreams.

New

AI Agent Engineer

Boca Raton, FL

$75K - $100K/yr

Support the operational design and execution of AI agents and multiagent workflows used across business and technology teams * Monitor agent behavior, outputs, and reliability in production ...

AI Engineer

Tampa, FL · On-site

$50K - $112K/yr

... AI operations - Engaging in continuous learning to adapt to new technologies and methodologies in AI engineering What You Must Have - At least a Bachelor's degree or, in lieu of a degree ...

New

AI Engineer

Miami, FL · On-site

$50K - $112K/yr

... AI operations - Engaging in continuous learning to adapt to new technologies and methodologies in AI engineering What You Must Have - At least a Bachelor's degree or, in lieu of a degree ...

AI Engineer

Tampa, FL · On-site

$50K - $112K/yr

... AI operations - Engaging in continuous learning to adapt to new technologies and methodologies in AI engineering What You Must Have - At least a Bachelor's degree or, in lieu of a degree ...

Lead ML Ops Engineer

Naples, FL

$96K - $127K/yr

Track and evaluate industry trends in AI platforms, LLM ecosystems, and AI operations, translating insights into roadmap decisions and platform evolution. What you will need: 6 years of relevant ...

AI Engineer

Boca Raton, FL · On-site

$50K - $112K/yr

... AI operations - Engaging in continuous learning to adapt to new technologies and methodologies in AI engineering What You Must Have - At least a Bachelor's degree or, in lieu of a degree ...

Lead ML Ops Engineer

Orlando, FL · On-site

$95K - $126K/yr

Track and evaluate industry trends in AI platforms, LLM ecosystems, and AI operations, translating insights into roadmap decisions and platform evolution. What you will need: 6 years of relevant ...

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Ai Operations information

How does an AI Operations professional typically collaborate with data scientists and IT teams?

AI Operations professionals often act as a bridge between data science teams, who develop machine learning models, and IT teams, who manage infrastructure. They work closely to ensure models are deployed smoothly, monitored for performance, and integrated into production environments. Regular communication and troubleshooting are essential, as AI Ops professionals must understand both the technical requirements of the models and the operational constraints of the systems. This collaborative approach helps maintain reliability and scalability of AI solutions in a business setting.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as AI executive roles, senior data scientists, or AI research directors, often requiring advanced skills in machine learning, deep learning, and programming. These roles usually involve leadership, strategic planning, and extensive experience, and they may be found in large tech companies or specialized AI firms.

What do AI operations do?

AI operations involve managing and maintaining AI systems to ensure their reliable performance, including tasks like deploying models, monitoring system health, troubleshooting issues, and optimizing workflows. Professionals in this field often use tools such as cloud platforms and automation scripts to support continuous integration and delivery of AI solutions.

Is AI a high paying job?

AI operations roles are generally well-paid due to the specialized skills required, such as knowledge of machine learning, data analysis, and cloud platforms. Salaries vary based on experience, location, and company size but tend to be higher than average for tech roles, especially for those with advanced certifications or expertise in AI tools.

Which 3 jobs will survive AI?

AI operations professionals, data scientists, and cybersecurity specialists are likely to continue thriving as their roles involve complex problem-solving, strategic decision-making, and safeguarding systems that are difficult to fully automate. These jobs require advanced technical skills, critical thinking, and adaptability to evolving technologies, making them more resilient to AI automation.

What are AI Operations?

AI Operations, often referred to as AIOps, is the use of artificial intelligence and machine learning technologies to automate and enhance IT operations. It involves analyzing large volumes of data generated by IT systems to detect issues, predict outages, and automate responses. AIOps helps organizations improve efficiency, reduce downtime, and quickly resolve problems by providing actionable insights and automating repetitive tasks. This approach is increasingly important as IT environments become more complex and data-driven.

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

To thrive in AI Operations, you need a strong background in computer science, data analytics, and machine learning, often supported by a degree in a related field. Familiarity with tools like Python, TensorFlow, cloud platforms (e.g., AWS, Azure), and experience with AI/ML monitoring systems is essential. Critical thinking, problem-solving, and effective communication are key soft skills for managing incidents and collaborating with cross-functional teams. These skills ensure the smooth deployment, monitoring, and optimization of AI systems, which are vital for operational reliability and business success.

What is the difference between Ai Operations vs Data Scientist?

AspectAi OperationsData Scientist
Required CredentialsCertifications in AI/ML, programming skillsStatistics, data analysis, programming
Work EnvironmentOperational teams, AI deployment, maintenanceResearch, data analysis, modeling
Industry UsageAI system management, deployment, monitoringData analysis, predictive modeling, research

Ai Operations focuses on managing and maintaining AI systems in production, ensuring their performance and reliability. Data Scientists primarily analyze data, develop models, and generate insights. While both roles require technical skills and programming knowledge, Ai Operations emphasizes deployment and operational stability, whereas Data Scientists focus on data analysis and model development.

What are the most commonly searched types of Ai Operations jobs in Florida? The most popular types of Ai Operations jobs in Florida are:
Infographic showing various Ai Operations job openings in Florida as of July 2026, with employment types broken down into 83% Full Time, 13% Part Time, and 4% Contract. Highlights an 88% In-person, 4% Hybrid, and 8% Remote job distribution.

Research & AI Operations Associate

GVW Group, LLC

Miami, FL

Full-time

Re-posted 18 days ago


Job description

                                                                                                                     

Description
Position at GVW Group, LLC
 
GVW Group is a privately held, entrepreneurial industrial and investment holding company that invests in and scales businesses that disrupt legacy industries. We operate with a relentless focus on customer-centric innovation, strategic discipline, and operational excellence. GVW grows companies and invests across manufacturing, logistics, technology, and services, all while embodying a culture where loyalty, results, and ownership drive everything we do for the next 1000 years.
 
Job Overview:
The Research & AI Operations Associate role is designed to extend the effectiveness of a senior operator working across businesses, investments, and strategic initiatives.
The focus is on high-quality research, structured analysis, and building AI-driven workflows that create leverage and speed.
You will act as a force multiplier. Your output should reduce decision time, improve clarity, and uncover non-obvious opportunities.
 
Expected Outcomes:
Research and Intelligence
•    Conduct deep research on industries, companies, markets, and technologies
•    Synthesize large volumes of information into clear, decision-ready insights
•    Identify trends, risks, and asymmetric opportunities
•    Build and maintain internal knowledge systems

Analysis and Decision Support
•    Structure ambiguous problems into clear frameworks
•    Build simple models, comparisons, and scenario analyses
•    Pressure-test assumptions and surface second-order effects
•    Deliver concise briefs with clear recommendations

AI Systems and Workflow Automation
•    Design, build, and maintain AI agents to automate recurring workflows
•    Identify high-leverage opportunities for automation across operations and investments
•    Integrate tools (e.g., APIs, no-code/low-code platforms, LLM tools) into usable systems
•    Continuously improve prompt design, workflows, and outputs

Execution and Operational Support
•    Assist in executing strategic initiatives across multiple projects
•    Track key priorities, deadlines, and follow-ups
•    Prepare materials for meetings, decisions, and external communication
•    Act as a reliable second brain for ongoing workstreams

Information Management
•    Organize research, notes, and outputs into structured, retrievable systems
•    Maintain clean documentation of processes and insights
•    Ensure continuity and institutional memory

Required Skills and Traits
Analytical Ability
•    Strong structured thinking
•    Ability to break down complex topics quickly
•    Comfortable working with incomplete information

Research Depth
•    Skilled at finding high-quality, non-obvious sources
•    Able to distinguish signal from noise
•    Fast synthesis without losing accuracy

AI Fluency
•    Hands-on experience with LLMs and AI tools
•    Understanding of prompt engineering and agent workflows
•    Comfortable experimenting with new tools and frameworks

Technical Skills
•    Basic scripting (Python or similar)
•    Familiarity with APIs, automation tools, or data tools
•    Experience with no-code/low-code platforms

Communication
•    Clear, concise written communication
•    Ability to present insights in a structured format
•    Strong interpersonal skills and responsiveness

Work Style
•    High ownership and accountability
•    Fast execution with attention to detail
•    Low ego, high curiosity
•    Comfortable operating in unstructured environments

Output Expectations
•    Briefs are concise, structured, and decision-focused
•    Research goes beyond surface-level summaries
•    AI workflows reduce manual work and improve speed
•    Communication is clear, direct, and actionable

What Success Looks Like
•    Decision-making becomes faster and better informed
•    Repetitive work is increasingly automated
•    Insights consistently surface opportunities others miss
•    The role scales output without increasing complexity

Candidate Profile
•    Early career (0–3 years experience) or exceptional recent graduate
•    Demonstrated track record of independent projects or research
•    Strong interest in business, investing, and technology
•    Evidence of building or experimenting with AI tools

Location: Miami, Florida â€” In-office presence required daily; travel expected as needed.

What We Offer
  • Competitive compensation includes a base salary, performance bonus, and full benefits.
  • Direct access to C-level strategic decision-making and transformative projects.
  • Mentorship from a seasoned entrepreneur and exposure to company-building at the highest level.
  • A culture that values outcomes over optics, loyalty over politics, and boldness over bureaucracy. 
 
The Bottom Line
If you're someone who is naturally proactive, thrives in intensity, who wants to move fast and execute hard, and who is humble enough to ask, but strong enough to lead - this role will put you in the center of gravity of a growing portfolio of companies and investments.
 
If you’re looking for impact, intensity, and influence, this is where it all converges. The Chairman’s priorities are your North Star - every day, without exception.
 
GVW Group is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.
 
Physical Requirements: Capable of wearing personal protective equipment which may include safety shoes, gloves, safety glasses, and ear protection.
Capable of meeting OSHA standards for manual lifting guidelines: Ability to stand, sit, and/or walk for extended periods.