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Generative Ai Researcher Jobs in Florida (NOW HIRING)

Generative AI Engineer, AVP

Jacksonville, FL · On-site

$96.96 - $145.44/hr

Actively monitor and research the latest trends, breakthroughs, and tools in AI/ML. Present ... Generative AI Experience: Demonstrable understanding of and hands‑on experience with Generative ...

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Generative Ai Researcher information

What are some common challenges generative AI researchers face when transitioning models from research to production environments?

Generative AI Researchers often encounter challenges when moving models from experimental research settings into real-world production. These challenges include ensuring models are robust to diverse, unseen data, optimizing for computational efficiency, and addressing potential biases or ethical concerns present in generated outputs. Collaboration with engineering teams is key to deploying scalable solutions, while ongoing monitoring is necessary to maintain model performance and compliance. Researchers should be prepared to iterate on their models post-deployment based on feedback and real-world results.

What does a generative AI researcher do?

A Generative AI Researcher studies and develops artificial intelligence models that can create new content such as text, images, music, or code. They work on advancing algorithms like generative adversarial networks (GANs), variational autoencoders (VAEs), and large language models to improve their performance and applications. Their work often involves designing experiments, analyzing data, publishing research, and collaborating with other scientists and engineers to push the boundaries of AI creativity and utility.

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

AspectGenerative Ai ResearcherMachine Learning Engineer
CredentialsAdvanced degrees in AI, Computer Science, or related fields; research experienceDegree in Computer Science, Data Science, or related fields; coding skills
Work EnvironmentResearch labs, academia, R&D departmentsTech companies, startups, product teams
Industry UsageFocus on developing generative models like GANs, VAEs, transformersImplementing ML models for various applications, including generative tasks

While both roles involve AI and machine learning, Generative Ai Researchers primarily focus on developing new generative models and advancing AI research, often working in academic or research settings. Machine Learning Engineers typically implement and deploy ML models in production environments across industries. The roles overlap in skills and tools but differ in their core focus and work environment.

What are the key skills and qualifications needed to thrive as a generative AI researcher, and why are they important?

To thrive as a Generative AI Researcher, you need a strong background in computer science, mathematics, and machine learning, typically supported by an advanced degree (Master's or PhD) in a relevant field. Proficiency in programming languages such as Python, experience with deep learning frameworks like TensorFlow or PyTorch, and familiarity with research tools and publication processes are essential. Creative problem-solving, critical thinking, and effective collaboration skills help researchers innovate and communicate complex ideas. These skills and qualities are crucial for advancing AI technologies, publishing impactful research, and driving progress in this rapidly evolving field.
What are popular job titles related to Generative Ai Researcher jobs in Florida? For Generative Ai Researcher jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Generative Ai Researcher jobs in Florida look for? The top searched job categories for Generative Ai Researcher jobs in Florida are:
What cities in Florida are hiring for Generative Ai Researcher jobs? Cities in Florida with the most Generative Ai Researcher job openings:
Infographic showing various Generative Ai Researcher job openings in Florida as of August 2026, with employment types broken down into 73% Full Time, 23% Part Time, and 4% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution.

Generative AI Engineer, AVP

Socket.dev

Jacksonville, FL • On-site

$96.96 - $145.44/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago


Job description

Overview of the Role

Citi, the leading global bank, has approximately 200 million customer accounts and does business in more than 160 countries and jurisdictions. Citi provides consumers, corporations, governments, and institutions with a broad range of financial products and services, including consumer banking and credit, corporate and investment banking, securities brokerage, transaction services, and wealth management.

As a bank with a brain and a soul, Citi creates economic value that is systemically responsible and in our clients’ best interests. As a financial institution that touches every region of the world and every sector that shapes your daily life, our Enterprise Operations & Technology teams are charged with a mission that rivals any large tech company. Our technology solutions are the foundations of everything we do from keeping the bank safe, managing global resources, and providing the technical tools our workers need to be successful to designing our digital architecture and ensuring our platforms provide a first‑class customer experience. We reimagine client and partner experiences to deliver excellence through secure, reliable, and efficient services.

Our commitment to diversity includes a workforce that represents the clients we serve from all walks of life, backgrounds, and origins. We foster an environment where the best people want to work. We value and demand respect for others, promote individuals based on merit, and ensure opportunities for personal development are widely available to all. Ideal candidates are innovators with well‑rounded backgrounds who bring their authentic selves to work and complement our culture of delivering results with pride. If you are a problem solver who seeks passion in your work, come join us. We’ll enable growth and progress together.

Job Summary

The USCC Architecture and AI Engineering group is at the forefront of technological innovation, and we are looking for a highly motivated and talented Generative AI/AI Engineer to join our dynamic team. This is an exciting opportunity to work on cutting‑edge AI solutions that will shape the future of our industry. We are seeking a hands‑on individual with a passion for rapid prototyping, a deep curiosity for emerging technologies, and the drive to turn ambitious ideas into reality. If you are eager to build, learn, and grow in the fast‑paced world of Generative and Agentic AI, this role is for you.

Key Responsibilities
  • Develop & Prototype: Design, build, and iterate on prototypes for Generative and Agentic AI applications with speed and agility, demonstrating the art of the possible.
  • Implement AI Models: Implement, train, and fine‑tune a variety of machine learning and deep learning models to solve complex business problems.
  • Build Robust Systems: Develop and maintain clean, efficient, and scalable code for AI/ML systems, with a focus on production‑level quality.
  • Manage Data Pipelines: Engineer and manage sophisticated data handling and preprocessing pipelines to ensure high‑quality data for training and inference.
  • Deploy & Operate: Utilize MLOps best practices to deploy AI applications in containerized environments like OpenShift, ensuring robust monitoring, scalability, and reliability.
  • Innovate & Research: Actively monitor and research the latest trends, breakthroughs, and tools in AI/ML. Present findings and lead proof‑of‑concept projects to integrate new technologies into our stack.
  • Collaborate: Work closely with senior engineers, architects, and product managers in a highly collaborative environment to translate business requirements into technical solutions.
Required Skills and Qualifications
  • 5–8 years in a product development / product management environment
  • Python Proficiency: Strong and efficient programming skills in Python, including deep familiarity with AI‑centric libraries (e.g., NumPy, Pandas, Scikit‑learn).
  • ML/DL Foundation: Solid understanding and practical implementation experience with machine learning algorithms and deep learning architectures (e.g., Transformers, CNNs, RNNs).
  • Generative AI Experience: Demonstrable understanding of and hands‑on experience with Generative AI, Large Language Models (LLMs), and Agentic AI frameworks.
  • Data Expertise: Proven ability in handling and preprocessing large and complex datasets, including data cleaning, feature engineering, and validation.
  • MLOps Awareness: Working experience or strong familiarity with MLOps principles, including containerizing applications using Docker and deploying on platforms like OpenShift or Kubernetes.
  • Problem‑Solving: Strong analytical and problem‑solving skills with the ability to tackle complex challenges independently.
Education
  • Bachelor’s/University degree or equivalent experience
Core Technical Stack & Expertise
  • LLMs: Gemini, OpenAI models (GPT series), Copilot, Claude, Llama, and experience with Local Models.
  • Frameworks: LangChain, LlamaIndex, and the Hugging Face ecosystem (Transformers, Datasets, Tokenizers).
  • Orchestration: LangGraph and conceptual understanding of building Multi‑Agent Systems.
  • Development: Building production‑ready services using Python, FastAPI, and asynchronous programming patterns.
  • RAG (Retrieval‑Augmented Generation): Advanced retrieval techniques using Vector DBs (e.g., Pinecone, Chroma) and PostgreSQL (with pgvector).
  • ML/DL Platforms: PyTorch and/or TensorFlow for building and fine‑tuning models.
  • Deployment & Monitoring: Containerization with Docker, deploying production APIs, and implementing robust monitoring and logging.
  • Applied AI Skills: Advanced Prompt Engineering, AI Workflow Design, and GenAI application optimization for cost, latency, and performance.
The Ideal Candidate
  • You are a builder at heart, driven by a desire to create and experiment.
  • You thrive in a fast‑paced environment and excel at turning ideas into functional prototypes quickly.
  • You are a voracious learner, constantly keeping up‑to‑date with the latest research papers, open‑source projects, and technology trends in AI.
  • You are a proactive and collaborative team player with excellent communication skills.
  • You are passionate about solving real‑world problems and delivering tangible impact through technology.
Salary & Benefits

Primary location: Jacksonville, Florida, United States. Salary range: $96,960.00 – $145,440.00. In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.

EEO Statement

Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.

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