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Senior Generative Ai Engineer Jobs in Boca Raton, FL

We are seeking a Senior AI Engineer specializing in MLOps and AIOps, who will play a critical role in deploying, operating, and optimizing enterprise-grade AI solutions built on Azure, collaborating ...

We're looking for a Senior Data & AI Engineer to lead the design, development, and operation of AI agents that power intelligent experiences across the Material Bank platform. This role sits at the ...

Senior Data & AI Engineer

Boca Raton, FL

$100K - $136K/yr

We're looking for a Senior Data & AI Engineer to lead the design, development, and operation of AI agents that power intelligent experiences across the Material Bank platform. This role sits at the ...

Machine Learning Engineer

Sunrise, FL ยท On-site

$90K - $110K/yr

Role - Machine Learning Engineer Experience Required -8+ Years We are seeking a Machine Learning Engineer to design, build, and deploy Generative AI solutions powered by Large Language Models (LLMs)

About the role As an Applied AI Engineer, you will drive the design, build, and deployment of next ... This is a senior-level individual contributor role focused on applied AI product development. You ...

Showing results 21-40

Senior Generative Ai Engineer information

See Boca Raton, FL salary details

$56.5K

$120.1K

$174.1K

How much do senior generative ai engineer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for senior generative ai engineer in Boca Raton, FL is $120,098.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,200.00 and $136,200.00 per year, depending on experience, location, and employer.

What is the difference between Senior Generative Ai Engineer vs Machine Learning Engineer?

AspectSenior Generative Ai EngineerMachine Learning Engineer
Required CredentialsBachelor's/Master's in CS, AI, or related; experience with generative modelsBachelor's/Master's in CS, Data Science, or related; strong ML fundamentals
Work EnvironmentResearch and development focused, often in AI startups or tech companiesData analysis, model development, often across various industries
Employer & Industry UsageTech firms, AI startups, research institutionsTech, finance, healthcare, and other sectors utilizing ML solutions

The main difference is that Senior Generative Ai Engineers specialize in developing and optimizing generative models like GPT or GANs, focusing on AI creativity and content generation. Machine Learning Engineers have a broader scope, working on various ML algorithms and applications across multiple industries. Both roles require strong technical skills, but the Senior Generative Ai Engineer's expertise is more specialized in generative AI technologies.

What does a senior generative AI engineer do?

A Senior Generative AI Engineer designs, develops, and implements advanced artificial intelligence models, particularly those focused on generating content such as text, images, or audio. They work with large datasets, build and fine-tune generative models like GPT or diffusion models, and oversee the deployment of these systems into production environments. Additionally, they collaborate with cross-functional teams to integrate AI capabilities into products, optimize model performance, and ensure ethical AI practices are followed.

What are some of the unique challenges senior generative AI engineers face when deploying models in production environments?

Senior Generative AI Engineers often encounter challenges such as ensuring model reliability, addressing biases in generated outputs, and managing the significant computational resources required for deployment. There's also a strong need to collaborate with cross-functional teams, including data engineers, product managers, and domain experts, to ensure the solutions align with business goals and maintain user trust. Balancing innovation with ethical considerations and scalability is crucial in this fast-evolving field.

What are the key skills and qualifications needed to thrive as a senior generative AI engineer, and why are they important?

To thrive as a Senior Generative AI Engineer, you need deep expertise in machine learning, deep learning, and natural language processing, typically backed by an advanced degree in computer science or related fields. Proficiency in frameworks like TensorFlow or PyTorch, experience with cloud platforms (e.g., AWS, Azure), and familiarity with large language models are essential, along with relevant certifications. Strong problem-solving skills, creativity, and effective communication set standout engineers apart in this role. These skills and qualities are crucial for designing innovative AI solutions, collaborating across teams, and advancing the capabilities of generative models in real-world applications.
What are the most commonly searched types of Generative Ai Engineer jobs in Boca Raton, FL? The most popular types of Generative Ai Engineer jobs in Boca Raton, FL are:
What job categories do people searching Senior Generative Ai Engineer jobs in Boca Raton, FL look for? The top searched job categories for Senior Generative Ai Engineer jobs in Boca Raton, FL are:
What cities near Boca Raton, FL are hiring for Senior Generative Ai Engineer jobs? Cities near Boca Raton, FL with the most Senior Generative Ai Engineer job openings:
Infographic showing various Senior Generative Ai Engineer job openings in Boca Raton, FL as of August 2026, with employment types broken down into 73% Full Time, 23% Part Time, and 4% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution, with an average salary of $120,098 per year, or $57.7 per hour.

AI Architect

South Florida Community Care Network LLC

Fort Lauderdale, FL โ€ข On-site

$100K - $110K/yr

Full-time

Re-posted 4 days ago


Job description

Position Summary: The AI Architect will be responsible for designing, implementing, and managing AI systems crucial to the organization’s operations. This role includes ensuring the performance, availability, and security of these systems. The AI Architect will work closely with the development team and other business units to align AI solutions with organizational needs and regulatory standards, particularly within the health plan sector.

Essential Duties and Responsibilities:

  1. Design, implement, and manage AI systems that meet both performance and security standards.
  2. Analyze organizational needs and maintain AI solutions to support these requirements.
  3. Ensure AI system performance, availability, and security are maintained at all times.
  4. Develop and maintain AI architectures and data structures that align with business needs.
  5. Implement backup and recovery plans to ensure data integrity and availability.
  6. Work closely with the development team to optimize AI model usage and improve performance.
  7. Provide technical support and guidance to resolve AI system issues and malfunctions.
  8. Collaborate with other business units to understand future needs and adapt AI strategies accordingly.
  9. Conduct regular security audits and compliance checks, particularly focusing on health plan data protection regulations such as HIPAA.
  10. Prepare and present reports on AI status, performance, and strategic development to senior management.
  11. Evaluate and recommend emerging AI technologies, frameworks, and tools for organizational adoption.
  12. Develop AI governance policies, standards, and best practices to ensure responsible AI usage across the organization.
  13. Mentor and guide development team members on AI/ML concepts, tools, and implementation patterns.
  14. Design and oversee data pipelines and ETL processes to support AI/ML model training and deployment.
  15. Performs other related duties as assigned.

This job description in no way states or implies that these are the only duties performed by the employee occupying this position. Employees will be required to perform any other job-related duties assigned by their supervisor or management.

Qualifications:

REQUIRED

  • Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or related field required.
  • At least 5 years of experience in AI/ML system development and management.
  • Minimum 3 years of experience with AI architecture design, model deployment, and data engineering.
  • Expertise in AI/ML frameworks and tools (e.g., TensorFlow, PyTorch, scikit-learn, Azure AI Services).
  • Strong familiarity with cloud services such as Microsoft Azure or Amazon Web Services (AWS).
  • Proficiency in machine learning algorithms, data integration, and model lifecycle management.
  • Experience with ETL processes and data pipelines.
  • Strong problem-solving and communication skills.
  • Ability to work both independently and as part of a team.

PREFERRED

  • Master’s degree in Artificial Intelligence, Machine Learning, Data Science, or related field.
  • Relevant professional certifications (e.g., Microsoft Azure AI Engineer, AWS Machine Learning Engineer, Google Professional ML Engineer).
  • Experience with large language models (LLMs), generative AI, and prompt engineering.
  • Experience with cloud-native AI/ML services (Azure OpenAI, Azure Machine Learning, AWS SageMaker).
  • Experience in a healthcare or health plan environment with understanding of HIPAA compliance requirements.
  • Understanding of ASC X12 standards for healthcare electronic data interchange such as:
      • Medical Claims Interface – 837
      • Benefit Enrollment – 834
      • Claim File – 999
      • Claim Status – 276/277
  • Experience with CI/CD pipelines and DevOps practices for AI/ML model deployment (MLOps).
  • Familiarity with responsible AI principles, bias detection, and model explainability techniques.
  • Experience with vector databases, RAG (Retrieval-Augmented Generation) architecture, and semantic search.
  • Knowledge of Natural Language Processing (NLP) and computer vision applications.

Skills and Abilities:

  • Deep technical expertise in AI principles, machine learning, deep learning, and data modeling methodologies.
  • Excellent verbal and written communication skills.
  • Strong analytical and problem-solving skills, with the ability to manage multiple tasks efficiently.
  • Excellent organizational skills and attention to detail.
  • • Excellent communication and interpersonal skills, capable of explaining complex AI concepts to non-technical stakeholders.
  • Experience working in a team environment.
  • Excellent time management skills with the proven ability to meet deadlines.
  • Extensive knowledge of the following:
      • Python, R, or similar ML/AI programming languages
      • SQL and database management systems
      • Cloud AI/ML platforms (Azure AI, AWS SageMaker)
      • API development and integration (REST, GraphQL)
      • Data visualization and reporting tools
  • Commitment to continuous learning and adapting to new technologies and industry trends.
  • Proficient with Microsoft Office Suite or related software.

Work Schedule:

Community Care Plan is currently following a hybrid work schedule. The company reserves the right to change the work schedules based on the company needs.

Physical Demands:

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. A reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is regularly required to sit, use hands, reach with hands and arms, and talk or hear. The employee is frequently required to stand, walk, and sit. The employee may occasionally be required to stoop, kneel, crouch or crawl. The employee may occasionally lift and/or move up to 15 pounds.

Work Environment:

The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of the job. The environment includes work inside/outside the office, travel to other offices, as well as domestic travel. A reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. The noise level in the work environment is usually moderate.

We are an equal opportunity employer who recruits, employs, trains, compensates and promotes regardless of age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other characteristics that make our employees unique. We are committed to fostering, cultivating, and preserving a culture of diversity, equity, and inclusion.

Background Screening Notice:
In compliance with Florida law, candidates selected for this position must complete a Level 2 background screening through the Florida Care Provider Background Screening Clearinghouse.

The Clearinghouse is a statewide system managed by the Agency for Health Care Administration (AHCA) and is designed to help protect children, seniors, and other vulnerable populations while streamlining the screening process for employers and applicants.

Additional information is available at: ???? https://info.flclearinghouse.com