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Artificial Intelligence Engineer Director Jobs in Florida

L3HHCM20

Intern , Artificial Intelligence

Melbourne, FL · On-site +1

$22.50 - $41/hr

Pursuing a Master's Degree in Artificial Intelligence, Computer Engineering, Computer Science, Mathematics, or related technical degree at an accredited university. Preferred Additional Skills:

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Artificial Intelligence Engineer Director information

What is the difference between Artificial Intelligence Engineer Director vs Artificial Intelligence Engineer?

AspectArtificial Intelligence Engineer DirectorArtificial Intelligence Engineer
Required CredentialsBachelor's or Master's in CS, AI, or related; leadership experienceBachelor's or Master's in CS, AI, or related; technical skills
Work EnvironmentLeadership roles, strategic planning, team managementHands-on development, coding, model training
Employer & Industry UsageTech companies, R&D departments, startupsTech firms, research labs, AI startups
Common Search & ComparisonLeadership, strategy, managementTechnical skills, coding, model development

The main difference between an Artificial Intelligence Engineer Director and an Artificial Intelligence Engineer lies in their roles. The Director focuses on leadership, strategic planning, and managing AI teams, while the Engineer is primarily involved in technical development, coding, and building AI models. Both roles require strong technical backgrounds, but the Director also emphasizes management and organizational skills.

What are the most commonly searched types of Artificial Intelligence Engineer jobs in Florida?

The most popular types of Artificial Intelligence Engineer jobs in Florida are:

What cities in Florida are hiring for Artificial Intelligence Engineer Director jobs?

Cities in Florida with the most Artificial Intelligence Engineer Director job openings:

Artificial Intelligence Engineer Director jobs near you
Infographic showing various Artificial Intelligence Engineer Director job openings in Florida as of July 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 100% In-person job distribution.

Artificial Intelligence (AI) Engineer III (2316)

Morson Talent

Melbourne, FL • Hybrid

$55 - $62/hr

Full-time

Re-posted 3 days ago

Job description

Job Description Title: Artificial Intelligence (AI) Engineer III (2316) Location: Melbourne, Florida Openings: 1 Work Model: Hybrid, 2 - 3 days in office Job Type: Contract Duration: 1 Year Rate: $61/hour (W2) + Benefits Hours: 40 hours/week, 8 - 5 Project: Technology Division Position Summary: An AI (Artificial Intelligence) Engineer develops and trains AI models to automate processes and solve complex problems. They design and implement AI systems, ensuring they function effectively and align with business objectives. Responsibilities: Evaluate machine learning processes and select appropriate models.

Collect and analyze large datasets to train AI models. Develop and deploy AI algorithms and systems. Collaborate with cross functional teams to establish goals for AI processes.

Test and validate AI models to ensure accuracy and effectiveness. Manage data and project infrastructure. Stay updated on the latest AI developments and technologies.

Strong Large Language Model (LLM) Expertise Handson experience finetuning, adapting, and deploying LLMs, including prompt engineering, embeddings, and context management. LLM Application & System Architecture Proven ability to design and implement productiongrade LLM solutions such as RAG pipelines, agents, and tool/functioncalling systems. Production MLOps & Model Lifecycle Management Experience owning the endtoend ML lifecycle, including CI/CD, deployment, monitoring, versioning, and performance/cost optimization.

Advanced Python & Software Engineering Strong Python skills with experience building scalable, testable APIs and services that integrate ML/LLM models into enterprise systems. CloudBased Scalable ML Infrastructure Handson experience with AWS, Azure, or GCP, including containerization (Docker), orchestration (Kubernetes), and GPUbased ML workloads. Qualifications: Masters degree in Computer Science, Engineering, or a related field.

Proven experience as an AI Engineer or in a similar role. Strong programming skills in languages such as Python, R, or Java. Experience with machine learning frameworks and libraries.

Excellent analytical and problem-solving abilities. Effective communication and collaboration skills.

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