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Agentic Ai Jobs in Boca Raton, FL (NOW HIRING)

Your work will span areas such as multimodal search and understanding, AI-assisted content generation, intelligent workflows, personalization, creative tooling, and agentic systems. We are looking ...

Principal Software Engineer (Python)

Sunrise, FL ยท On-site +1

$128K - $172K/yr

Utilize Git or similar, Unix command line, Python, FastAPI, FastMCP, and ADK to build and enhance robust backend services that bridge core enterprise data with Agentic AI. * Model Optimization (LLM ...

AI GTM Developer

Deerfield Beach, FL ยท On-site

$53.75 - $71/hr

Ready to level-up your career at the company leading workforce transformation in the agentic era? You're in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

Establish engineering standards and best practices for agentic systems, including observability ... Hands on experience using AI powered engineering tools such as Claude Code or similar development ...

Senior Data & AI Engineer

Boca Raton, FL

$100K - $136K/yr

Establish engineering standards and best practices for agentic systems, including observability ... Hands on experience using AI powered engineering tools such as Claude Code or similar development ...

Machine Learning Engineer

Sunrise, FL ยท On-site

$90K - $110K/yr

Design agentic workflows using LangChain and LangGraph. Must Have Technical/Functional Skills: We are seeking a Machine Learning Engineer to design, build, and deploy Generative AI solutions powered ...

You will lead a team of engineers building AI agents and intelligent assistants that power UKG ... agentic system design, code reviews, and helping engineers optimize their code. - Ensure that high ...

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Agentic Ai information

See Boca Raton, FL salary details

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How much do agentic ai jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for agentic ai in Boca Raton, FL is $62.42, according to ZipRecruiter salary data. Most workers in this role earn between $43.12 and $94.90 per hour, depending on experience, location, and employer.

How do agentic AI professionals typically collaborate with cross-functional teams to implement intelligent agents in business processes?

Agentic AI professionals often work closely with data scientists, software engineers, product managers, and business stakeholders to integrate intelligent agents into existing workflows. This collaboration involves understanding business requirements, designing agent behaviors, and ensuring seamless data flow between systems. Regular meetings and iterative feedback cycles are common to align technical solutions with strategic objectives. Effective communication and adaptability are key, as these roles often bridge technical and non-technical domains to achieve successful AI-driven automation.

What is the difference between Agentic Ai vs Data Analyst?

AspectAgentic AiData Analyst
Required CredentialsTypically requires knowledge of AI, machine learning, and programming languagesBachelor's degree in statistics, mathematics, or related field; often requires proficiency in Excel, SQL, and data visualization tools
Work EnvironmentPrimarily tech companies, AI startups, or R&D departmentsBusiness, finance, healthcare, and other industries analyzing data for insights
Employer & Industry UsageUsed in AI development, automation, and machine learning projectsUsed across various industries for data interpretation and reporting
Search & Comparison IntentUnderstanding AI-focused roles versus data analysis roles

Agentic Ai roles focus on developing and implementing AI systems, requiring programming and machine learning skills. Data Analysts interpret data to inform business decisions, often using statistical tools. While both work with data, Agentic Ai professionals are more involved in AI creation, whereas Data Analysts focus on data interpretation.

How to start a career in agentic AI?

To start a career in agentic AI, develop strong skills in artificial intelligence, machine learning, and programming languages such as Python. Gaining experience through relevant projects, internships, or certifications in AI and automation tools can improve job prospects in this field.

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

To thrive as an AI Engineer, you need a strong grasp of computer science fundamentals, machine learning techniques, and proficiency in programming languages such as Python or Java, often supported by a relevant degree in computer science or engineering. Familiarity with AI frameworks (like TensorFlow, PyTorch), cloud platforms, and, in some cases, certifications such as TensorFlow Developer Certificate are typically expected. Critical thinking, problem-solving, and effective collaboration are crucial soft skills for tackling complex AI challenges and working in multidisciplinary teams. These skills and qualities are essential to develop, deploy, and maintain innovative AI solutions that drive business value.

What are agentic AI systems?

Agentic AI systems are artificial intelligence models designed to act autonomously and pursue goals in dynamic environments. Unlike traditional AI, which follows specific programmed instructions, agentic AI can make decisions, take actions, and adapt based on feedback or changes in its environment. These systems are often used in complex tasks such as robotics, autonomous vehicles, virtual assistants, and advanced problem-solving applications. The development of agentic AI raises important questions about safety, control, and ethical use due to their ability to make independent decisions.

Is agentic AI a good career?

Agentic AI refers to roles involving the development and deployment of autonomous AI systems, which are growing in demand across industries such as technology, healthcare, and finance. Careers in this field typically require skills in machine learning, programming, and data analysis, and may involve working with AI frameworks and tools. The field offers opportunities for innovation and specialization but also requires ongoing learning due to rapid technological advancements.
What job categories do people searching Agentic Ai jobs in Boca Raton, FL look for? The top searched job categories for Agentic Ai jobs in Boca Raton, FL are:
What cities near Boca Raton, FL are hiring for Agentic Ai jobs? Cities near Boca Raton, FL with the most Agentic Ai job openings:
Infographic showing various Agentic Ai job openings in Boca Raton, FL as of July 2026, with employment types broken down into 79% Full Time, 19% Part Time, and 2% Contract. Highlights an 64% Physical, 3% Hybrid, and 33% Remote job distribution, with an average salary of $129,828 per year, or $62.4 per hour.

Data & AI Engineer - (Hybrid)

Cruise Planners

Coral Springs, FL โ€ข On-site

$109K - $130K/yr

Full-time

Posted 16 days ago


Job description

Cruise Planners is the largest franchisor of home-based travel agencies across the country that independently book cruises, tour, and land vacations. Cruise Planners has achieved Top Producer status with virtually every cruise line, tour, and resort company. Cruise Planners has been named the No.1 Cruise Tour / Travel Agency by Entrepreneur Magazine for the past 10 years and recently featured in Entrepreneur as one of the top 30 franchise innovators in technology. Cruise Planners positions franchise owners for success by providing them with innovative marketing, booking and lead-generating tools as well as professional development and hands-on training with the industry's top executives. Cruise Planners Home Office has won awards such as Coolest Offices and Top Places to Work in South Florida by Sun Sentinel and South Florida Business Journal.
Job Summary
The Data & AI Engineer designs, builds, and operates the data and AI systems behind Cruise Planners' analytics, advisor-facing products, and internal automation. The role combines production data engineering on AWS (Glue, Redshift, Step Functions, Lambda, S3) with applied generative-AI work on Amazon Bedrock (Data Automation, Knowledge Bases, AgentCore) and the Strands Agents SDK.
Day-to-day development is conducted through agentic coding tooling - Claude Code with MCP - used as a primary engineering surface, not as autocomplete, with the pace and scope of delivery expected to exceed what traditional tooling supports. The team is small: engineers scope, build, deploy, document, and operate their own work end to end.
The items listed below are intended to provide an overview of the essential functions of the job. This is not an exhaustive list of all functions and responsibilities that the position may be required to perform.
Responsibilities
  • Design and operate data pipelines on AWS - Glue, Step Functions, Lambda, EventBridge, S3 - feeding the Redshift data warehouse.
  • Stand up and operate containerized production pipelines on AWS Fargate / ECS (scheduled ingest or scrape, enrich, deliver) with CloudWatch alarms and health monitoring.
  • Design dimensional data models - facts, conformed dimensions, and analytics marts - on Redshift over a zero-ETL replica of the operational source.
  • Implement document-extraction pipelines using Amazon Bedrock Data Automation blueprints and deliver structured output to downstream consumers via webhook or queue.
  • Build and operate Bedrock Knowledge Bases for retrieval-augmented generation: source preparation, indexing, retrieval evaluation, and cost / latency tuning.
  • Build agents using the Strands Agents SDK on Bedrock AgentCore - supervisor / sub-agent topologies, tool definitions, and deployment hardening.
  • Build applied-LLM data products for reporting, search, and agentic operations.
  • Deploy and operate services on AWS end to end, including internal web apps and demos.
  • Build internal tooling and integrations, including MCP servers.
  • Prototype and ship new AI-powered applications for advisors and internal teams.
  • Maintain operational quality - logs, alarms, runbooks, on-call response, post-incident notes - and continuously monitor quality and compliance with data-privacy regulations.
  • Conduct day-to-day development through Claude Code with project-scoped MCP servers, document decisions and architectures in the team wiki.

Competencies - Technical (builds with)
  • AWS data and serverless services.
  • Amazon Bedrock and AgentCore Runtime.
  • Python (primary); SQL (baseline).
  • Data warehousing and dimensional modeling.
  • Agent and LLM frameworks.
  • Infrastructure-as-code.

Competencies - Tooling (works with)
  • Claude Code as the primary development surface, including parallel sessions.
  • MCP servers (AWS, Excolo, Atlassian) as deterministic tool routing for work that previously spanned terminal, IDE, and browser.
  • Comfort treating the model as a collaborator - generating alternatives, having design conversations, validating choices before committing - rather than as autocomplete.

Competencies - General
  • Writes documentation a teammate can pick up and act on without a meeting.
  • Explains trade-offs in plain language to non-engineers (Marketing, Operations, Finance).
  • Strong problem-solving, communication, and collaboration skills.

Requirements
  • Bachelor's degree in Computer Science, Data Science, Statistics, Engineering, or a related field. Master's preferred at the Senior level.
  • Relevant production experience scaled to level (Data & AI Engineer I / II / Senior).
  • Authorization to work in the United States without sponsorship.

Levels
Placement is by experience, evidenced output, and judgment scope - not by years alone.
  1. Data & AI Engineer I - Executes scoped work end to end under guidance; ships well-defined pipelines, blueprints, or Knowledge Base load jobs.
  2. Data & AI Engineer II - Owns workstreams end to end (design, build, deploy, operate) and makes architecture choices within an established pattern; writes the playbook a peer can ship from.
  3. Senior Data & AI Engineer - Owns multi-system architecture; stands up a new pattern (e.g., AgentCore deployment, multi-agent topology) without precedent; coaches peers; represents the team in cross-functional design. Operates across the full stack - Fargate production pipelines, inbound AWS deployments, applied-LLM data products, and end-to-end agent architecture.

This is a hybrid role (Mondays and Fridays - remote and Tuesdays-Thursdays on-site)
Cruise Planners provides equal employment opportunities (EEO) to all team members and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, or status as a covered veteran in accordance with applicable federal, state and local laws. Cruise Planners complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities or team members. This policy applies to all terms and conditions of employment.