ZipRecruiter

Log In

2

Remote Generative Ai Engineer Jobs in Boca Raton, FL

Cotality

Principal Software Engineer (Python)

Sunrise, FL · On-site +1

$128K - $172K/yr

The hybrid-remote Principal Software Development Engineer leads the design, development, and ... Develop High-Performance AI Services: Utilize Git or similar, Unix command line, Python, FastAPI ...

Quora

iOS Engineer -Remote

Lake Worth Beach, FL · Remote

$61.63 - $88.47/hr

As AI capabilities rapidly advance, Poe provides a single platform to instantly integrate and ... We are seeking a talented iOS Engineer to join us in building Poe, an innovative platform that ...

Quora

iOS Engineer -Remote

Boca Raton, FL · Remote

$61.63 - $88.47/hr

As AI capabilities rapidly advance, Poe provides a single platform to instantly integrate and ... We are seeking a talented iOS Engineer to join us in building Poe, an innovative platform that ...

AgileEngine

Full Stack Engineer ID80989

Boca Raton, FL · On-site +1

We rank among the leaders in areas like application development and AI/ML, and our people-first ... This is a US-based, remote-friendly contract-to-hire opportunity for high-performing engineers.

previous page

Showing results 41-60

All JobsGenerative Ai Engineer JobsRemote Generative Ai Engineer JobsRemote Generative Ai Engineer Jobs in Boca Raton, FL

Remote Generative Ai Engineer information

See Boca Raton, FL salary details

$36.1K

$110K

$181.7K

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

As of Sep 5, 2026, the average yearly pay for remote generative ai engineer in Boca Raton, FL is $109,951.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,800.00 and $143,800.00 per year, depending on experience, location, and employer.

What is a remote generative AI engineer?

A Remote Generative AI Engineer is a technology professional who specializes in developing, training, and deploying artificial intelligence models that can generate new content—such as text, images, audio, or video—while working from a remote location. These engineers typically work with advanced machine learning techniques like deep learning, neural networks, and large language models. Their responsibilities often include designing algorithms, optimizing model performance, and collaborating with distributed teams to build innovative AI-driven solutions. The remote aspect allows them to perform their duties from anywhere with internet access, offering flexibility and access to global opportunities.

What are the key skills and qualifications needed to thrive as a remote generative AI engineer?

To thrive as a Remote Generative AI Engineer, you need a solid background in computer science, machine learning, and deep learning, typically with a relevant degree and experience in building AI models. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms (such as AWS or Azure), and version control systems like Git is essential. Strong problem-solving, self-motivation, and effective remote communication set outstanding engineers apart in this role. These skills are crucial for developing innovative AI solutions, collaborating across distributed teams, and delivering impactful results in a remote work environment.

How do remote generative AI engineers typically collaborate with cross-functional teams to deliver AI-driven solutions?

Remote Generative AI Engineers often work closely with data scientists, product managers, and software engineers to integrate generative AI models into products or services. Collaboration is usually facilitated through virtual meetings, code repositories, and project management tools, enabling seamless communication across different time zones. Regular check-ins and sprint reviews help ensure alignment on goals, while documentation and clear communication are essential for maintaining project momentum. This collaborative environment not only fosters innovation but also allows engineers to gain exposure to a variety of perspectives and expertise.

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

AspectRemote Generative Ai EngineerRemote Machine Learning Engineer
Required CredentialsBachelor's or higher in CS, AI, or related; experience with generative modelsBachelor's or higher in CS, Data Science, or related; experience with ML algorithms
Work EnvironmentCollaborates on AI model development, focuses on generative models like GPT, GANsDevelops and deploys ML models for various applications, including predictive analytics
Employer & Industry UsageTech companies, AI startups, research institutionsTech firms, finance, healthcare, and data-driven industries

While both roles involve AI and machine learning, a Remote Generative Ai Engineer specializes in creating models that generate content, such as text or images, using generative techniques. In contrast, a Remote Machine Learning Engineer works on a broader range of ML models for predictive or classification tasks. The roles often overlap but differ in focus and application.

How much does a remote generative AI engineer make?

A remote generative AI engineer typically earns between $100,000 and $160,000 annually, depending on experience, skills, and the company's location. Senior roles or those with specialized expertise in machine learning and deep learning can command higher salaries, especially with proficiency in tools like TensorFlow or PyTorch.

What are the best remote generative AI engineer jobs?

Remote generative AI engineer jobs are available across technology companies, research institutions, and startups, often requiring skills in machine learning frameworks like TensorFlow or PyTorch and experience with natural language processing or computer vision. These roles typically involve developing and deploying AI models remotely, with some positions offering flexible schedules and requiring certifications or advanced degrees in computer science or related fields.

What is the average salary of a remote generative AI engineer?

The average salary for a remote generative AI engineer typically ranges from $100,000 to $150,000 annually, depending on experience, skills in machine learning frameworks, and the complexity of projects. Senior roles or those with specialized expertise in deep learning and large language models can earn higher compensation. Remote positions often offer competitive pay comparable to on-site roles in the tech industry.

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 are popular job titles related to Remote Generative Ai Engineer jobs in Boca Raton, FL?

For Remote Generative Ai Engineer jobs in Boca Raton, FL, the most frequently searched job titles are:

What job categories do people searching Remote Generative Ai Engineer jobs in Boca Raton, FL look for?

The top searched job categories for Remote Generative Ai Engineer jobs in Boca Raton, FL are:

What cities near Boca Raton, FL are hiring for Remote Generative Ai Engineer jobs?

Cities near Boca Raton, FL with the most Remote Generative Ai Engineer job openings:

Remote Generative Ai Engineer jobs near you
Infographic showing various Remote Generative Ai Engineer job openings in Boca Raton, FL as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $109,951 per year, or $52.9 per hour.

Lead, AI Search & SEO Strategy

Delan Associates, Inc

Fort Lauderdale, FL • On-site, Remote

Contractor

Re-posted 2 days ago

Job description

Lead, AI Search Optimization (AEO/GEO)

Job Summary
Dynamic and results-driven AI Search & SEO Strategist with a passion for maximizing visibility across emerging AI-driven search ecosystems. This individual will serve as Princess Cruises' subject matter expert in Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO), ensuring brand visibility across large language models (LLMs), AI search platforms, and evolving discovery experiences.

As a key member of the eCommerce team, this role will own and drive the technical execution required to maximize visibility across AI-powered search environments including Google AI Overviews, ChatGPT, Perplexity, and other AI answer engines. The position acts as the critical link between Engineering, Content, SEO, Analytics, and agency partners to ensure Princess Cruises remains discoverable as search behavior continues to evolve.

Key Responsibilities

AI Search & AEO/GEO Strategy Execution (25%)

  • Translate AI Search (AEO/GEO) strategies into actionable technical initiatives.
  • Partner with SEO agencies and content teams to align traditional SEO and AI-native optimization efforts.
  • Identify opportunities to improve AI answer inclusion, citations, and brand visibility across AI search ecosystems.

AI Search / LLM Optimization (25%)

  • Optimize content and site structure for LLM discoverability and citation.
  • Improve:
    • Entity authority and topical relevance
    • Structured answer formats (FAQs, summaries, authoritative content blocks)
    • E-E-A-T signals (Experience, Expertise, Authoritativeness, Trustworthiness)
  • Identify gaps where Princess content is underperforming in AI-generated responses.

Technical SEO & Structured Data Ownership (20%)

  • Own and enhance:
    • Schema markup and structured data (JSON-LD, entity markup)
    • Crawlability, indexation, and internal linking improvements
  • Ensure content is modular, machine-readable, and optimized for AI consumption.
  • Partner with engineering teams to improve:
    • Semantic HTML
    • Content hierarchy and formatting
    • Performance and accessibility signals

Performance Measurement & Optimization (15%)

  • Define and track KPIs related to:
    • Visibility within AI search experiences
    • Citation frequency and share of voice
    • Traffic and conversion impact
  • Partner with Analytics teams to build AI-search-specific measurement frameworks.
  • Lead testing, experimentation, and optimization initiatives.

Engineering Partnership & Delivery (10%)

  • Serve as the primary contact for AEO/GEO technical requirements.
  • Translate business objectives into clear technical requirements and user stories.
  • Influence engineering prioritization and backlog planning.
  • Validate implementation quality and ensure successful delivery.
  • Bridge agency recommendations with internal technical feasibility.

Additional Responsibilities (5%)

  • Perform other duties as assigned.
  • Adhere to all company policies, Code of Conduct requirements, audit procedures, and controls related to business systems and financial data.

Scope

The Lead, AI Search Optimization (AEO/GEO) is responsible for driving Princess Cruises' visibility across AI-powered search and answer platforms, including Google AI Overviews, ChatGPT, Perplexity, and other LLM ecosystems.

This role operates at the intersection of eCommerce, Content, Technology, Analytics, and agency partnerships. The individual will lead initiatives focused on AI discoverability, content optimization, technical SEO enhancements, structured data strategy, and AI search performance.

As a highly collaborative individual contributor, this role will influence enterprise-wide digital performance and support customer acquisition, engagement, conversion, and brand visibility objectives across Princess Cruises' global portfolio.

Problem Solving

This role addresses complex and evolving challenges within the AI search landscape where best practices, ranking signals, and success metrics continue to emerge.

The individual will analyze data from AI visibility platforms, SEO tools, analytics solutions, and search console reporting to:

  • Diagnose visibility and citation challenges.
  • Evaluate technical, content, and authority-related factors impacting performance.
  • Develop scalable improvement plans.
  • Influence cross-functional stakeholders to execute recommendations.

The role regularly exercises independent judgment in identifying opportunities that impact discoverability, traffic, and conversion performance.

Impact

This position serves as Princess Cruises' internal authority on AI Search Optimization and helps shape how the organization approaches discoverability across AI-powered search experiences.

Success in the role directly contributes to:

  • Increased AI search visibility
  • Brand awareness
  • Customer acquisition
  • Traffic growth
  • Engagement and conversion performance

The role helps ensure Princess Cruises remains competitive as consumers increasingly rely on AI-powered discovery tools throughout their purchasing journey.

Leadership

Although this role does not have direct people management responsibilities, it requires significant cross-functional leadership and influence.

The Lead, AI Search Optimization (AEO/GEO) will:

  • Provide thought leadership on AI search best practices.
  • Drive alignment across Content, Technology, Analytics, eCommerce, and agency teams.
  • Communicate recommendations to technical and non-technical stakeholders.
  • Lead initiatives from concept through implementation.
  • Influence priorities and decision-making without direct authority.

Strong communication, stakeholder management, and project leadership skills are essential.

Required Qualifications

Education

  • Bachelor's Degree in Marketing, Business, or a related field.

Experience

  • 3+ years of digital marketing experience with a focus on SEO.
  • 1+ year of hands-on AEO/GEO optimization experience.
  • Experience working with AI-driven search ecosystems and emerging discovery platforms.
  • Strong understanding of how SEO, AEO, and GEO contribute to broader digital marketing strategies.

Technical Skills

  • Adobe Analytics
  • Google Analytics 4 (GA4)
  • Google Search Console (GSC)
  • HTML/CSS
  • Basic JavaScript
  • WordPress
  • Adobe Experience Manager (AEM) or comparable CMS
  • SEO, AEO, and GEO tools and best practices

Core Competencies

  • Exceptional written and verbal communication skills.
  • Strong analytical and problem-solving abilities.
  • Ability to translate business objectives into technical execution plans.
  • Strong collaboration and stakeholder management capabilities.
Employment Type: CONTRACTOR

Apply