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Genai Engineer Jobs in Florida (NOW HIRING)

Accenture Federal Services

AI/ML Engineer

Tampa, FL · Hybrid

This role blends modern GenAI engineering with traditional computer science and machine learning, supporting both rapid prototyping and productiongrade delivery. Key Responsibilities * Design ...

Rivago infotech inc

AI Architect (GENAI)

Miami, FL · On-site

GenAI Technical Lead Architect - AI (GenAI, Azure) Location: Miami, FL (Hybrid) Type: FTE Role ... engineers, data engineers) Technology Stack: · 8-10+ years software/AI engineering; 1-2+ years ...

Brooksource

AI Engineer

Miami, FL · On-site

$55 - $65/hr

You will also collaborate with Data Engineering and GenAI teams to advance shared AI platforms, participate in code reviews, and help establish engineering standards for AI development. This is an ...

Northern Base

Machine Learning Engineer

Sunrise, FL · On-site

$90K - $110K/yr

Role - Machine Learning Engineer Experience Required -8+ Years We are seeking a Machine Learning ... In this role, you will work on end-to-end GenAI use cases, from model selection to production-ready ...

Amgen

Principal Software Engineer

Tampa, FL

$127K - $171K/yr

PrincipalSoftware Engineer What you will do Let's do this. Let's change the world. In this vital ... Act as the technical owner for large-scale ML/GenAI initiatives, driving architecture decisions ...

Amgen Inc

Principal Software Engineer

Tampa, FL · On-site

$122K - $164K/yr

Principal Software Engineer What you will do Let's do this. Let's change the world. In this vital ... Act as the technical owner for large-scale ML/GenAI initiatives, driving architecture decisions ...

Amgen, Inc.

Principal Software Engineer

Tampa, FL · On-site

$127K - $171K/yr

Principal Software Engineer What you will do Let's do this. Let's change the world. In this vital ... Act as the technical owner for large-scale ML/GenAI initiatives, driving architecture decisions ...

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Genai Engineer information

What is a GenAI engineer?

A GenAI Engineer is a professional who specializes in designing, developing, and deploying generative artificial intelligence (AI) models and applications. This role involves working with advanced machine learning techniques, such as large language models and generative adversarial networks, to create systems that can generate text, images, code, or other content. GenAI Engineers collaborate with data scientists, software engineers, and product teams to integrate AI capabilities into products and services, ensuring ethical use and scalability. They also stay updated on the latest developments in AI research to continually improve model performance and effectiveness.

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

To thrive as a GenAI Engineer, you need expertise in machine learning, deep learning, and programming languages such as Python, along with a solid understanding of generative models like GANs and transformers. Familiarity with frameworks such as TensorFlow or PyTorch, and experience with cloud platforms and MLOps tools, are highly valuable; advanced degrees or certifications in AI or data science are often preferred. Strong problem-solving, creativity, and communication skills help GenAI Engineers design innovative solutions and effectively collaborate with multidisciplinary teams. These skills ensure the development of robust, scalable generative AI systems that address complex real-world challenges.

What are some typical challenges a GenAI engineer faces when deploying AI models in production environments?

GenAI Engineers often encounter challenges such as ensuring model scalability, addressing bias in generated outputs, and maintaining performance consistency in real-world applications. Deploying generative AI models requires careful monitoring to prevent unexpected or inappropriate outputs, as well as efficient resource management to handle large-scale computations. Collaborating closely with data engineers, product managers, and ML operations teams is essential to streamline deployment pipelines and quickly resolve issues that arise in live environments.

What is the difference between Genai Engineer vs Data Scientist?

AspectGenai EngineerData Scientist
Required CredentialsDegree in Computer Science, AI, or related fields; experience with AI/ML frameworksDegree in Data Science, Statistics, or related fields; strong programming skills
Work EnvironmentDevelops AI models, fine-tunes generative AI systems, collaborates with AI teamsAnalyzes data, builds predictive models, interprets complex datasets
Employer & Industry UsageTech companies, AI startups, research labs focusing on generative AIFinance, healthcare, marketing, and tech firms analyzing data for insights

While both roles require strong technical skills and a background in data or AI, Genai Engineers focus on developing and deploying generative AI models, whereas Data Scientists analyze data to extract insights and build predictive models. The roles often overlap but serve different primary functions within AI and data-driven organizations.

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

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

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

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

What cities in Florida are hiring for Genai Engineer jobs?

Cities in Florida with the most Genai Engineer job openings:

Genai Engineer jobs near you
Infographic showing various Genai Engineer job openings in Florida as of August 2026, with employment types broken down into 91% Full Time, 5% Part Time, and 4% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution.

AI/ML Engineer

Accenture Federal Services

Tampa, FL • Hybrid

Full-time

Posted 24 days ago

Accenture Federal Services rating

8.7

Company rating: 8.7 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

47th of 492 rated business services

Job description

We are seeking an AI Engineer with strong experience in Large Language Models (LLMs) and RetrievalAugmented Generation (RAG) to design, build, and optimize intelligent systems that solve complex mission and enterprise challenges. This role blends modern GenAI engineering with traditional computer science and machine learning, supporting both rapid prototyping and productiongrade delivery.

Key Responsibilities

  • Design, develop, and maintain RAG pipelines, including document ingestion, embedding generation, vector storage, retrieval logic, and LLM orchestration.
  • Build and optimize LLMpowered applications for classification, summarization, Q&A, knowledge retrieval, and workflow automation.
  • Apply core software engineering and ML fundamentals to ensure performance, reliability, and security (e.g., data structures, algorithms, model evaluation, MLOps, API development).
  • Implement and tune traditional ML models when required (e.g., regression, clustering, feature engineering, classical NLP).
  • Integrate cloudnative services (Azure/AWS), data pipelines, and containerized workloads (Docker). Collaborate closely with crossfunctional teams-including data engineers, architects, and mission SMEs-to translate requirements into scalable solutions.

Required Skills

  • Handson experience with LLMs, prompt engineering, embeddings, vector databases, and RAG frameworks.
  • Strong programming skills in Python; familiarity with Java/C++ is a plus.
  • Proficiency with ML and DL frameworks (PyTorch, TensorFlow, HuggingFace).
  • Solid understanding of algorithms, data structures, APIs, and distributed systems.
  • Experience with cloud platforms (AWS or Azure) and containerization (Docker).
  • Ability to work across structured and unstructured datasets.

Preferred Skills

  • Experience building productionready AI/ML systems, including CI/CD or MLOps frameworks (MLFlow/BentoML).
  • Understanding of data governance, security constraints, and model risk management.
  • Ability to communicate complex technical concepts to nontechnical stakeholders.

Security Clearance: 

  • Active TS/SCI Clearance

#LI-Defense 

#LI-Hybrid 

What Accenture Federal Services employees say

Pay

Benefits

Hours and flexibility

Workplace

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