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Embedded Ai Engineer Jobs in Florida (NOW HIRING)

Hotwire Communications

AI Engineer

Fort Lauderdale, FL · On-site

As an AI Engineer , you will be the technical engine behind every AI implementation the company ... You'll partner closely with the Director of AI Implementation and AI Champions embedded in each ...

Hotwire Communications

AI Engineer

Fort Lauderdale, FL · On-site

As an AI Engineer , you will be the technical engine behind every AI implementation the company ... You'll partner closely with the Director of AI Implementation and AI Champions embedded in each ...

Uloop Inc.

Applied AI Engineer

Miami, FL · On-site

$90 - $120/hr

Own the AI domain while embedded in a senior engineering team that provides architecture, code reviews, and best practices. Nice to Have * Experience with AWS infrastructure. * Familiarity with the ...

Stationed

AI Engineer - AI Lab

Miami, FL · On-site

$80 - $120/hr

STATIONED is embedded inside some of the leading VC firms in the country, running an AI Lab where ... engineering job you will find. This role is a fit if you * Are curious about AI and already ...

Crowe LLP

AI Solutions Consulting Lead

Tampa, FL · On-site +1

About Forward Deployed Engineering The Forward Deployed Engineering (FDE) Practice partners with organizations to accelerate AI-driven transformation through embedded consulting, hands-on solution ...

Crowe LLP

Senior AI Solutions Consultant

Miami, FL · On-site +1

About Forward Deployed Engineering The Forward Deployed Engineering (FDE) Practice partners with organizations to accelerate AI-driven transformation through embedded consulting, hands-on solution ...

Crowe LLP

AI Solutions Consulting Lead

Miami, FL · On-site +1

About Forward Deployed Engineering The Forward Deployed Engineering (FDE) Practice partners with organizations to accelerate AI-driven transformation through embedded consulting, hands-on solution ...

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Showing results 1-20

All JobsEmbedded Ai Engineer JobsEmbedded Ai Engineer Jobs in Florida

Embedded Ai Engineer information

See Florida salary details

$52.3K

$114.6K

$130K

How much do embedded ai engineer jobs pay per year?

As of Aug 26, 2026, the average yearly pay for embedded ai engineer in Florida is $114,622.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,300.00 and $129,300.00 per year, depending on experience, location, and employer.

What is an embedded AI engineer?

An Embedded AI Engineer is a professional who designs, develops, and implements artificial intelligence (AI) algorithms and models directly onto embedded systems, such as microcontrollers or edge devices. Their work involves optimizing AI solutions to run efficiently on hardware with limited computing resources, power, and memory. They collaborate with hardware engineers and software developers to integrate machine learning, computer vision, or other AI functionalities into products like smart appliances, autonomous vehicles, or IoT devices. Their expertise helps bring intelligent features directly to devices, enabling real-time decision-making without needing constant cloud connectivity.

What are the key skills and qualifications needed to thrive as an embedded AI engineer?

To thrive as an Embedded AI Engineer, you need expertise in embedded systems, AI/ML algorithms, programming languages like C/C++ and Python, and typically a degree in computer engineering or a related field. Familiarity with development tools such as TensorFlow Lite, ONNX, embedded Linux, and microcontroller platforms is essential, along with experience deploying AI models on resource-constrained devices. Strong problem-solving, collaboration, and communication skills help you work effectively in multidisciplinary teams and address real-world challenges. These skills ensure efficient integration of AI into embedded systems, enabling innovative, high-performance solutions for edge computing.

How does an embedded AI engineer typically collaborate with hardware and software teams during a project?

Embedded AI Engineers work closely with both hardware and software teams to ensure AI models are efficiently integrated into resource-constrained devices. They often collaborate with hardware engineers to optimize model performance based on device limitations like memory and processing power. At the same time, they coordinate with software developers to design efficient firmware and manage data pipelines. Regular cross-functional meetings and code reviews are common to address integration challenges and maintain alignment throughout the project lifecycle.

What is the difference between Embedded Ai Engineer vs Machine Learning Engineer?

CriteriaEmbedded Ai EngineerMachine Learning Engineer
Required CredentialsBachelor's in Electrical Engineering, Computer Science, or related; knowledge of embedded systemsBachelor's or Master's in Computer Science, Data Science, or related; strong programming skills
Work EnvironmentEmbedded systems, IoT devices, hardware integrationData centers, cloud platforms, software development environments
Employer & Industry UsageConsumer electronics, automotive, IoT companiesTech firms, startups, research institutions
Common Search & ComparisonYesNo

Embedded Ai Engineers focus on integrating AI algorithms into embedded hardware and IoT devices, requiring knowledge of hardware constraints and embedded programming. Machine Learning Engineers develop models primarily for software applications and data analysis. While both roles involve AI, Embedded Ai Engineers specialize in hardware-software integration within embedded systems, whereas Machine Learning Engineers work on developing and deploying AI models in software environments.

What are popular job titles related to Embedded Ai Engineer jobs in Florida?

For Embedded Ai Engineer jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Embedded Ai Engineer jobs in Florida look for?

The top searched job categories for Embedded Ai Engineer jobs in Florida are:

What cities in Florida are hiring for Embedded Ai Engineer jobs?

Cities in Florida with the most Embedded Ai Engineer job openings:

Embedded Ai Engineer jobs near you
Infographic showing various Embedded Ai Engineer job openings in Florida as of August 2026, with employment types broken down into 73% Full Time, and 27% Contract. Highlights an 46% In-person, and 54% Remote job distribution, with an average salary of $114,622 per year, or $55.1 per hour.

AI Engineer

Fort Lauderdale, FL • On-site

Hotwire Communications Ltd
Telecommunications • 1 - 5K employees

8.3

Company rating: 8.3 out of 10

Based on 25 frontline employees who took The Breakroom Quiz

19th of 99 rated telecommunications companies

Great coworkers

People enjoy working here

Good employer

Learn more about Hotwire Communications Ltdexternal

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 24 days ago

Job description

As an AI Engineer, you will be the technical engine behind every AI implementation the company runs, setting up the models, building the safety and reliability infrastructure, and establishing the engineering standards that every future AI project will inherit.
This is a greenfield role with high ownership. You will be designing and building the foundational AI platform that Hotwire's business units depend on. You'll partner closely with the Director of AI Implementation and AI Champions embedded in each business unit, translating validated workflow proposals into production-grade AI solutions.
Duties / Responsibilities:
  • Design and build the core AI platform that connects Hotwire's business applications, data sources, and AI models into reliable, production-grade pipelines
  • Own the model deployment layer, configure, version, and maintain LLM endpoints across Azure OpenAI and/or AWS Bedrock with environment isolation (dev / staging / prod)
  • Implement a model abstraction layer (e.g., LiteLLM) to ensure portability across model providers and avoid hard vendor lock-in
  • Build and maintain an internal AI SDK / shared libraries so that future engineers and CoE projects can bootstrap quickly without reinventing plumbing
  • Own infrastructure-as-code and CI/CD pipelines for AI services Other duties as required or assigned.
  • Actively participate in Steering Committee reviews, translating technical risk and feasibility into language business leaders understand
  • Build and enforce input/output security controls for every AI-facing endpoint:
  • PII detection and redaction before data reaches external model APIs
  • Prompt injection detection, pattern-based and embedding-based classifiers
  • Content policy filtering and output moderation for customer-facing AI surfaces
  • Role-based access control to AI capabilities across business units
  • Partner with IT Security and Compliance to ensure every AI deployment meets Hotwire's data residency, encryption, and access audit requirements
  • Maintain a centralized secrets management approach for API keys, model credentials, and third-party integration tokens
  • Implement an LLM evaluation framework that every CoE project must pass before production promotion
  • LLM-as-judge pipelines for automated output quality scoring
  • Regression test suits that protect against model drift when providers update underlying models
  • Semantic similarity and coherence metrics for RAG-based applications
  • Golden dataset management and versioning for reproducible evals
  • Own the eval harness integration into CI/CD, no model change ships without passing eval thresholds
  • Track and report quality metrics to the Director and Steering Committee as part of the AI implementation lifecycle
  • Build operational safety infrastructure around AI services:
  • Rate limiting and token-budget enforcement per business unit and use case
  • Circuit breakers to prevent downstream cascades when model APIs degrade
  • Iteration caps and wall-clock timeouts on agentic workflows
  • Async queue management and retry logic for high-volume pipelines
  • Configure private endpoints and VNet integration for model APIs to keep data off public internet paths
  • Implement cost allocation and spend controls so that per-department AI usage is visible and accountable
  • Set up comprehensive tracing and monitoring across all AI services using tools such as LangSmith, LangFuse, or equivalent
  • Build dashboards that surface latency, error rates, token consumption, quality scores, and cost per workflow, visible to both engineering and business stakeholders
  • Establish alerting thresholds and on-call runbooks for AI service degradation
  • Maintain audit logs of all model inputs and outputs for compliance review
  • Serve as the technical reviewer for AI workflow proposals coming from business unit AI Champions before they reach the Steering Committee
  • Write engineering standards, integration patterns, and runbooks that AI Champions and future engineers can follow
  • Contribute to vendor evaluations, help assess new AI tooling, model releases, and platform options
  • Other duties as required or assigned by supervisor.

Minimum Qualifications:
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required.
  • 2-4 years building and operating production LLM applications, not prototypes, not demos, production systems with real users and real SLAs
  • 4 years of software engineering experience with a strong bias toward system design and production-grade architecture
  • Expert-level Python, you write clean, tested, maintainable Python, not just scripts
  • Deep understanding of API design, microservices patterns, async programming, and distributed system fundamentals
  • Hands-on experience with CI/CD pipelines, containerization (Docker), and cloud-native deployment
  • Strong debugging instincts, you can trace a failure from a user-facing symptom down to a model API edge case
  • Experience deploying and managing LLMs on enterprise cloud platforms: Azure OpenAI Service or AWS Bedrock

Benefits:
We truly appreciate and value all our employees and show our appreciation by offering a wide range of benefits, including:
  • Comprehensive Healthcare/Dental/Vision Plans
  • 401K Retirement Plan with Company Match
  • Paid Vacation, Sick Time, and Additional Holidays (including your Birthday!)
  • Paid Volunteer Time
  • Paid Parental Leave
  • Hotwire Service Discounts - for employees who live on a property serviced by Hotwire. Discounted service offerings are provided for high-speed internet, video service, phone, and security service
  • Employee Referral Bonuses
  • Exclusive Entertainment Discounts/Perks

Hotwire provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
#LI-MC1
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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