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Patterned Learning Ai Jobs in Florida (NOW HIRING)

Programmers.io

Ontology Business Consultant

Tampa, FL · On-site

... patterns and map various data source systemsPartner closely with product| engineering| and data ... Skills: Digital : Machine Learning~AI & Gen AI - Products & Tools~Cognos Data Integration ...

ECS

Data Scientist Lead

Tampa, FL · On-site

Apply advanced machine learning and AI techniques, including unsupervised, supervised, reinforcement learning, and generative AI (e.g., Large Language Models, multi-modal AI), to identify patterns ...

Cherry Bekaert

AI Architect

Coral Gables, FL

$60 - $79/hr

Rapid domain-learning ability - the curiosity and pattern recognition to understand Tax, Assurance, Advisory and Wealth Management workflows deeply enough to design contextually accurate AI solutions.

Cherry Bekaert

AI Architect

Palm Beach Gardens, FL

$59.50 - $78.50/hr

Rapid domain-learning ability - the curiosity and pattern recognition to understand Tax, Assurance, Advisory and Wealth Management workflows deeply enough to design contextually accurate AI solutions.

Cherry Bekaert

AI Architect

Fort Lauderdale, FL · On-site

$60.25 - $79.25/hr

Rapid domain-learning ability - the curiosity and pattern recognition to understand Tax, Assurance, Advisory and Wealth Management workflows deeply enough to design contextually accurate AI solutions.

Cherry Bekaert

AI Architect

Tampa, FL · On-site

$59.50 - $78.50/hr

Rapid domain-learning ability - the curiosity and pattern recognition to understand Tax, Assurance, Advisory and Wealth Management workflows deeply enough to design contextually accurate AI solutions.

Tata Consultancy Service Limited

AI Engineer

Sunrise, FL · On-site

$100K - $130K/yr

Role - AI Engineer Experience Required - 8+ Years Must Have Technical/Functional Skills AI, Machine ... Design Patterns. • Machine Learning: NumPy, Pandas, Scikit-learn, XGBoost, LightGBM, PyTorch ...

TQL

AI Architect

Tampa, FL

$59.50 - $78.50/hr

Hands-on experience with Azure OpenAI, Azure Machine Learning, Azure AI Search, Microsoft Fabric and Lakehouse architectures Experience with embeddings, vector databases, RAG patterns, LangChain ...

Total Quality Logistics

AI Architect

Tampa, FL · On-site

Hands-on experience with Azure OpenAI, Azure Machine Learning, Azure AI Search, Microsoft Fabric and Lakehouse architectures * Experience with embeddings, vector databases, RAG patterns, LangChain ...

BMO U.S.

Senior Cloud Engineer AI

Jacksonville, FL · On-site

$96K - $133K/yr

... patterns for secure AI/ML integrations including private endpoints, customer-managed keys, and ... Azure Machine Learning, Azure OpenAI, Azure AI Foundry • Experience building MLOps platforms and ...

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Patterned Learning Ai information

What are some typical challenges faced by Patterned Learning AI professionals in implementing AI-driven solutions within organizations?

Patterned Learning AI professionals often encounter challenges such as integrating AI models with existing legacy systems, ensuring high-quality and representative training data, and aligning AI solutions with specific business objectives. Collaboration across multidisciplinary teams—including data scientists, software engineers, and business stakeholders—is essential for successful deployment. Additionally, professionals must stay updated on evolving AI technologies and best practices to maintain model accuracy and address ethical considerations.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need a strong background in mathematics, statistics, programming (especially Python), and a degree in computer science or a related field. Experience with machine learning frameworks such as TensorFlow, PyTorch, and scikit-learn, as well as familiarity with cloud computing platforms and data management tools, is essential. Excellent problem-solving skills, creativity, and clear communication are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies are vital for developing reliable AI systems that solve real-world problems and drive innovation.

What is the difference between Patterned Learning Ai vs Data Scientist?

AspectPatterned Learning AiData Scientist
Required CredentialsTypically requires machine learning, AI, or computer science degrees; certifications in AI toolsRequires degrees in statistics, computer science, or related fields; often certifications in data analysis
Work EnvironmentTech companies, AI startups, research labs focusing on AI developmentBusiness, finance, healthcare, and tech sectors analyzing data for insights
Employer & Industry UsageUsed by AI-focused organizations developing intelligent systemsEmployed across industries for data analysis, predictive modeling, and decision support

Patterned Learning Ai primarily focuses on developing AI models and algorithms, often requiring specialized technical skills. Data Scientists analyze data to extract insights and inform business decisions. While both roles involve data and machine learning, Patterned Learning Ai is more centered on creating AI systems, whereas Data Scientists interpret data for strategic purposes.

What is Patterned Learning AI?

Patterned Learning AI refers to artificial intelligence systems designed to recognize, learn from, and replicate patterns in data. These systems use algorithms to identify trends, correlations, and structures within large datasets, enabling them to make predictions or automate decision-making processes. Patterned Learning AI is commonly used in fields like image recognition, natural language processing, and predictive analytics. Its applications help businesses and researchers uncover hidden insights, streamline operations, and improve accuracy in various tasks.
What are popular job titles related to Patterned Learning Ai jobs in Florida? For Patterned Learning Ai jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Patterned Learning Ai jobs in Florida look for? The top searched job categories for Patterned Learning Ai jobs in Florida are:
What cities in Florida are hiring for Patterned Learning Ai jobs? Cities in Florida with the most Patterned Learning Ai job openings:
Patterned Learning Ai jobs near you
Infographic showing various Patterned Learning Ai job openings in Florida as of June 2026, with employment types broken down into 32% Full Time, 64% Part Time, and 4% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution.
Agentic AI Engineer - Vice President

Agentic AI Engineer - Vice President

Citigroup, Inc.

Tampa, FL • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 14 days ago

Job description

The Agentic AI Engineer is a strategic professional deeply immersed in the Artificial Intelligence and Machine Learning (AI/ML) field, with a strong, hands-on focus on leading agentic flow design, prompt design, and comprehensive testing for advanced AI systems. This role contributes to directional strategy by leveraging expertise in building autonomous and semi-autonomous AI solutions, particularly utilizing frameworks like Google Agent Development Kit (ADK), and applies this knowledge to critical business challenges.
Responsibilities (Key Areas):
Lead Agentic AI Flow Design, Prompt Engineering, and Testing: Accountable for leading the end-to-end design, development, and deployment of large-scale agentic AI solutions, with a primary focus on leveraging frameworks like Google Agent Development Kit (ADK). This includes taking ownership of agentic flow design, sophisticated prompt engineering, and comprehensive testing strategies to ensure the reliability, performance, and ethical behavior of autonomous AI systems. This role will define system function specifications through end-user consultation, integrate sophisticated AI/ML methodologies and MLOps practices, and ensure that agentic architectures meet business objectives and scale efficiently.
Drive AI Architecture and Best Practices for Agentic Systems: Provide critical architectural guidance for next-generation AI (NGAI) initiatives, ensuring adherence to best practices, CTO guidelines, and platform standards, particularly for agentic AI development. This involves actively participating in design review boards, publishing agentic AI design patterns, conducting rigorous code reviews for NGAI projects, and fostering a culture of technical excellence in AI engineering. Strategic Planning and Risk Management for Agentic AI Initiatives: Assist in the strategic planning and management of complex AI/ML development assignments, including cross-functional projects and those with significant budgets, with a focus on agentic AI. This entails meticulously identifying, analyzing, and communicating technical and business risks specific to AI, leading smart trade-off discussions with stakeholders, and developing clear delivery plans that navigate dependencies and maximize resources for the Digital organization, especially within the context of agentic systems. Mentorship, Continuous Improvement, and Innovation in Agentic AI: Empower and mentor AI/ML Engineers (SDEs) on best practices in agentic AI development, Google Agent Development Kit (ADK), and other advanced AI technologies. Drive continuous improvement in AI processes, advocate for the adoption of innovative AI technologies, and demonstrate leadership in influencing scrum teams beyond direct reporting lines to advance the firm's capabilities in autonomous AI, including prompt and flow optimization.
Qualifications:
  • 6-10 years of relevant experience in an AI/ML development role or senior-level experience in an AI role
  • Demonstrable and significant experience as a lead developer for agentic flow design, prompt design, and comprehensive testing of autonomous or semi-autonomous AI systems, with deep expertise in Google Agent Development Kit (ADK).
  • Lead resources and serve as a functional SME across the company through advanced knowledge of AI algorithms, data structures, distributed AI systems, MLOps, and the use of specific AI frameworks/libraries to lead, architect, and drive broader adoption forward.
  • Acquire relevant AI technology and financial industry skills (e.g., cloud AI services, MLOps, agentic platforms) and understand all aspects of Next Gen AI (NGAI) technology - including innovative approaches and new opportunities.
  • Demonstrate knowledge on automating AI model quality, model performance, unit testing for AI components, and MLOps build processing in the CI/CD pipeline, including considerations for agentic systems.

Required Skills:
  • Programming Languages: Strong proficiency in Python is paramount, followed by R, Java, or C++ for scalable, high-performance applications.
  • Prompt Engineering & Generative AI: Ability to design, test, and refine prompts for large language models (LLMs) to ensure reliable outputs, with specific experience in constructing complex agentic prompts and flows.
  • Machine Learning & Deep Learning: Expertise in building models, understanding algorithms (supervised/unsupervised), and neural network architectures (CNNs, RNNs, Transformers).
  • AI Frameworks & Libraries: Proficiency with tools like TensorFlow, PyTorch, Keras, Scikit-learn.
  • Data Engineering: Skills in data cleaning, preprocessing, visualization, and working with databases (SQL/NoSQL) and data lakes.
  • Cloud Computing & DevOps: Experience with cloud platforms (AWS, Azure, Google Cloud) and deploying models using MLOps practices for automation.
  • Mathematics & Statistics: Strong understanding of linear algebra, calculus, and probability for developing and refining algorithms.
  • Soft Skills: Strong problem-solving, analytical thinking, and collaboration skills are essential to bridge the gap between technical models and business needs.

Key Tools & Technologies:
  • Version Control: Git/GitHub.
  • IDEs/Notebooks: VS Code, PyCharm, Jupyter.
  • Frameworks: Google Agent Development Kit (ADK).

Education:
  • Bachelor's/University degree or equivalent work experience

Job Family Group:
Technology
Job Family:
Digital Software Engineering
Time Type:
Full time
Primary Location:
Tampa Florida United States
Primary Location Full Time Salary Range:
$125,600.00 - $188,400.00
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.
Most Relevant Skills
Please see the requirements listed above.
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.
Anticipated Posting Close Date:
May 20, 2026
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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