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Remote Amazon Ai Jobs in Florida (NOW HIRING)

VetsEZ

Senior AI Project Manager (Remote Opportunity)

Tampa, FL · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Amazon Bedrock and AWS AI services * Prompt engineering, source grounding, hallucination testing ... Remote Opportunity Qualified applicants will receive consideration for employment without regard to ...

VetsEZ

Senior AI Project Manager (Remote Opportunity)

Tampa, FL · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Amazon Bedrock and AWS AI services * Prompt engineering, source grounding, hallucination testing ... Remote Opportunity Qualified applicants will receive consideration for employment without regard to ...

Kobie Marketing

AI Engineer

Saint Petersburg, FL

As a remote-first organization headquartered in St. Petersburg, Florida, Kobie values meaningful in ... We're building an internal agent platform on Amazon AgentCore that automates analyst workflows ...

BlueTuskr

Growth Sales Manager - E-commerce (Remote)

Miami, FL · Remote

$75K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We help DTC and Amazon brands grow through paid ads, email/SMS, and SEO. We're certified partners ... library of case studies, AI-powered audit tools, gated content, and a list of partner ...

BAE Systems

Data Engineer

Fort Walton Beach, FL · Remote

$134K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Provide technical support for Amazon Redshift, including troubleshooting, performance optimization ... Integrate AI/ML models with ETL pipelines and data warehouses to enable predictive analytics and ...

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Remote Amazon Ai information

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

AspectRemote Amazon AiRemote Data Scientist
Required CredentialsAmazon certifications, AI/ML degreesStatistics, Computer Science degrees, certifications in data analysis
Work EnvironmentAmazon's cloud-based platforms, AI development teamsData analysis, modeling, and visualization tools
Employer & Industry UsageAmazon, e-commerce, cloud servicesVarious industries including tech, finance, healthcare
Search & Comparison IntentFocus on AI development at AmazonFocus on data analysis and modeling roles

Remote Amazon Ai roles focus on developing AI solutions within Amazon's ecosystem, often requiring specific certifications and experience with Amazon's cloud platforms. Remote Data Scientists analyze data, build models, and generate insights across multiple industries. While both roles involve data and analytics, Amazon Ai positions are more specialized in AI/ML development within Amazon's infrastructure, whereas Data Scientists have broader industry applications.

How does a Remote Amazon AI specialist typically collaborate with cross-functional teams?

As a Remote Amazon AI specialist, you'll frequently work with diverse teams, such as software engineers, product managers, and data scientists, to develop and deploy AI-powered solutions. Collaboration usually happens through virtual meetings, shared documentation, and agile project management tools, ensuring alignment despite working remotely. Effective communication and proactive knowledge sharing are key, as you'll need to translate complex AI concepts for non-technical stakeholders and integrate feedback from various departments. This collaborative environment enables you to contribute to innovative projects and learn from experts in related fields.

What are the key skills and qualifications needed to thrive as a Remote Amazon AI specialist, and why are they important?

To thrive as a Remote Amazon AI Specialist, you need strong expertise in machine learning, data analysis, programming (Python, Java, or similar), and a relevant degree in computer science or engineering. Familiarity with Amazon Web Services (AWS), SageMaker, AI/ML frameworks, and relevant AWS certifications are typically required. Excellent problem-solving, communication, and self-management skills set outstanding professionals apart in remote and collaborative environments. These competencies are crucial for designing, deploying, and optimizing AI solutions that drive business innovation and efficiency at scale.

What is a Remote Amazon AI?

A Remote Amazon AI job refers to a position with Amazon where employees work from home or another remote location, focusing on artificial intelligence (AI) technologies. These roles may include research, development, deployment, or support of AI and machine learning solutions that power Amazon's products and services, such as Alexa, Amazon Web Services (AWS), and e-commerce. Typical job titles include Machine Learning Engineer, Data Scientist, and AI Research Scientist. Working remotely allows employees to collaborate virtually using Amazon's internal tools while contributing to innovative AI projects.

What are the most commonly searched types of Amazon Ai jobs in Florida?

The most popular types of Amazon Ai jobs in Florida are:

What are popular job titles related to Remote Amazon Ai jobs in Florida?

For Remote Amazon Ai jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Remote Amazon Ai jobs in Florida look for?

The top searched job categories for Remote Amazon Ai jobs in Florida are:

What cities in Florida are hiring for Remote Amazon Ai jobs?

Cities in Florida with the most Remote Amazon Ai job openings:

Remote Amazon Ai jobs near you

Senior AI Project Manager (Remote Opportunity)

VetsEZ

Tampa, FL • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 23 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.

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