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Remote Generative Ai Jobs in New Port Richey, FL

This role is an early opportunity, expecting to allow remote work up to 100%. Serve as a resident ... Integrate Generative AI capabilities with ontology structures for query and reasoning * Implement ...

AI Innovation & Responsible Generative AI Design AI solutions using Python, computer vision, and ... per week remote/home. Office Location Options: * Louisville, KY * Boston, MA * New York, NY

AI Innovation & Responsible Generative AI Design AI solutions using Python, computer vision, and ... per week remote/home. Office Location Options: * Louisville, KY * Boston, MA * New York, NY

AI Innovation & Responsible Generative AI Design AI solutions using Python, computer vision, and ... per week remote/home. Office Location Options: * Louisville, KY * Boston, MA * New York, NY

Experience designing and deploying Generative AI solutions using LLMs, RAG architectures, vector ... Travel: While this is a remote position, occasional travel to Humana's offices for training or ...

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Experience designing and deploying Generative AI solutions using LLMs, RAG architectures, vector ... Travel: While this is a remote position, occasional travel to Humana's offices for training or ...

New

Senior AI Engineer

Tampa, FL · On-site +1

$98K - $135K/yr

We offer unlimited PTO, a flexible remote work policy, and a supportive environment that ... Research new generative AI, machine learning, and cloud technologies to evaluate applicability to ...

Experience designing and deploying Generative AI solutions using LLMs, RAG architectures, vector ... Travel: While this is a remote position, occasional travel to Humana's offices for training or ...

New

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Remote Generative Ai information

See New Port Richey, FL salary details

$14.3K

$132K

$170.1K

How much do remote generative ai jobs pay per year?

As of Aug 7, 2026, the average yearly pay for remote generative ai in New Port Richey, FL is $132,030.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,600.00 and $149,200.00 per year, depending on experience, location, and employer.

What are common challenges faced by remote generative AI professionals and how can they be addressed?

Remote Generative AI professionals often face challenges such as collaborating effectively across time zones, ensuring data security, and staying updated with rapidly evolving AI technologies. To overcome these, it's important to establish clear communication channels, utilize version control and collaboration tools, and participate in regular team meetings. Additionally, investing time in continuous learning through online courses and AI research communities can help professionals stay current with industry advancements.

What skills and qualifications are needed to thrive as a remote generative AI specialist?

To thrive as a Remote Generative AI Specialist, you need strong expertise in machine learning, deep learning, and programming languages like Python, often supported by a degree in computer science or a related field. Proficiency with frameworks such as TensorFlow or PyTorch, cloud platforms, and relevant certifications (e.g., Google Cloud ML Engineer) is highly beneficial. Effective problem-solving, self-motivation, and clear communication are crucial for collaborating remotely and driving innovative AI solutions. These skills ensure you can develop, deploy, and improve generative AI models efficiently in distributed work environments.

What is the difference between Remote Generative Ai vs Data Scientist?

AspectRemote Generative AiData Scientist
Required CredentialsKnowledge of AI/ML, programming skills, familiarity with NLP and deep learningStatistics, programming, data analysis, often a degree in CS, stats, or related fields
Work EnvironmentRemote, collaborative teams, AI research labs, tech companiesRemote or on-site, data analysis teams, research or business units
Industry UsageDeveloping AI models, creating generative content, NLP applicationsAnalyzing data, building predictive models, informing business decisions

Remote Generative Ai specialists focus on creating AI models that generate content, requiring expertise in AI/ML and programming. Data Scientists analyze data to extract insights and build models, often with similar technical backgrounds. While both roles may work remotely and in tech industries, their core functions differ: one develops generative AI systems, the other interprets data for strategic insights.

What is a remote generative AI?

A Remote Generative AI job involves working with artificial intelligence systems that can create new content, such as text, images, or music, from data. These roles are performed remotely, allowing professionals to work from anywhere while developing, training, and deploying generative models like GPT or DALL-E. Job responsibilities may include data preparation, model training, evaluation, and integrating generative AI solutions into products or services. Professionals in this field often collaborate with teams online using cloud-based tools and communication platforms.
What are popular job titles related to Remote Generative Ai jobs in New Port Richey, FL? For Remote Generative Ai jobs in New Port Richey, FL, the most frequently searched job titles are:
What job categories do people searching Remote Generative Ai jobs in New Port Richey, FL look for? The top searched job categories for Remote Generative Ai jobs in New Port Richey, FL are:
What cities near New Port Richey, FL are hiring for Remote Generative Ai jobs? Cities near New Port Richey, FL with the most Remote Generative Ai job openings:

Senior AI Project Manager (Remote Opportunity)

VetsEZ

Tampa, FL • Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 15 days ago


Job description

VetsEZ is seeking a Senior AI Project Manager to lead the successful delivery of enterprise Artificial Intelligence (AI) solutions supporting the Department of Veterans Affairs (VA). The initial assignment will support the Joint Longitudinal Viewer (JLV) AI Summarization initiative, delivering a production-ready AI-assisted search and summarization capability that enhances clinician access to Community Health Summary and Document (CHSD) data.

Working closely with Government stakeholders, clinical subject matter experts, solution architects, software engineers, cybersecurity teams, and DevSecOps personnel, this individual will lead all aspects of project planning, execution, stakeholder engagement, risk management, and Agile delivery while ensuring alignment with Federal security, privacy, and AI governance requirements.

Responsibilities:

  • Lead planning, execution, and delivery of enterprise AI software development projects supporting VA healthcare initiatives.
  • Develop and manage integrated project schedules, milestones, deliverables, resource plans, and roadmaps, including clinical validation, governance, security, and approval dependencies.
  • Manage project scope, risks, issues, assumptions, dependencies, and change requests, including decisions requiring Government approval.
  • Ensure project execution aligns with contractual requirements, business priorities, and delivery objectives.
  • Provide leadership that promotes collaboration, accountability, and continuous improvement across multidisciplinary teams.
  • Lead delivery of Generative AI solutions utilizing Retrieval-Augmented Generation (RAG) architectures and Large Language Models (LLMs).
  • Coordinate activities between Government stakeholders, clinicians, architects, engineers, cybersecurity teams, privacy and AI governance stakeholders, and product owners.
  • Facilitate discovery sessions, requirements validation, solution demonstrations, and clinical feedback sessions.
  • Coordinate AI governance, Responsible AI, Human-in-the-Loop (HITL), security, privacy, and clinical validation activities.
  • Ensure AI capabilities align with clinical workflows, business objectives, and approved MVP scope, with measurable acceptance criteria for quality, source traceability, clinical relevance, latency, and clinician feedback.
  • Provide delivery oversight across Agile teams, ensuring sprint plans, dependencies, milestones, and release objectives align with the project roadmap.
  • Partner with Product Owners and Scrum Masters to support Agile planning, refinement, reviews, and retrospectives.
  • Monitor sprint progress, delivery metrics, and release readiness.
  • Coordinate resolution of cross-team impediments requiring Government, security, governance, clinical, or architectural decisions.
  • Coordinate test-environment readiness, clinical evaluation, and future transition planning with Government stakeholders.
  • Monitor project risks, technical dependencies, and schedule impacts while developing mitigation strategies.
  • Coordinate activities supporting Federal cybersecurity, privacy, AI governance, clinical validation, and Authority to Operate (ATO) planning.
  • Ensure compliance with applicable VA Software Development Lifecycle (SDLC), security, and operational requirements.
  • Support project reporting, audit readiness, governance readiness, and executive decision-making through accurate documentation and status reporting.
  • Prepare executive briefings, project status reports, dashboards, and milestone updates.
  • Present project progress, risks, dependencies, and recommendations to executive leadership and Government customers.
  • Communicate complex technical concepts effectively to both technical and non-technical audiences.
  • Foster strong customer relationships through proactive communication and collaboration.

Requirements:

  • Bachelor's degree in Computer Science, Information Technology, Business, Healthcare Informatics, or a related field, or equivalent experience.
  • 10+ years leading enterprise software development projects.
  • 5+ years managing Agile software development teams delivering cloud-based applications.
  • Demonstrated experience leading Artificial Intelligence, Machine Learning, or Generative AI capabilities through development, evaluation, and formal approval.
  • Experience delivering AWS cloud applications using Amazon Bedrock or similar AI platforms.
  • Experience leading cross-functional teams in regulated healthcare or Federal environments.
  • Agile Software Development (Scrum/Kanban)
  • Generative AI, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) delivery lifecycles
  • Amazon Bedrock and AWS AI services
  • Prompt engineering, source grounding, hallucination testing, human validation, and AI evaluation methodologies
  • Cloud architecture and DevSecOps practices
  • REST APIs and enterprise system integration
  • Healthcare interoperability standards (FHIR, HL7, CCD)
  • Risk management and software delivery lifecycle

Additional Qualifications:

  • Strong leadership, organizational, and project management skills.
  • Excellent communication and presentation skills with experience briefing executive leadership and Government stakeholders.
  • Experience coordinating multidisciplinary engineering, cybersecurity, infrastructure, and clinical teams.
  • Strong analytical, problem-solving, and decision-making abilities.
  • Ability to manage multiple priorities in a fast-paced Agile environment.
  • Ability to obtain and maintain a Government Public Trust clearance.
  • Project Management Professional (PMP), PMI-ACP, Certified Scrum Master (CSM), or SAFe certification.
  • Experience supporting the Department of Veterans Affairs (VA), Department of Defense (DoD), or other Federal healthcare organizations.
  • Experience delivering AI-enabled clinical workflow, search, summarization, or clinician-support capabilities requiring human validation.
  • Knowledge of Responsible AI, NIST AI Risk Management Framework (AI RMF), NIST SP 800-53, FISMA, and FedRAMP.
  • Familiarity with clinical terminology standards including SNOMED CT, ICD-10, RxNorm, and LOINC.
  • AWS Cloud, AI, or Machine Learning certifications are highly desirable.

Benefits:

  • Medical, Dental, and Vision Insurance
  • 401(k) with Employer Match
  • Paid Time Off plus Federal Holidays
  • Corporate Laptop
  • Professional Development and Training Opportunities
  • Remote Opportunity

Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran status.

Sorry, we are unable to offer sponsorship at this time.

Employment Type: FULL_TIME