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Ai Automation Testing Jobs in Florida (NOW HIRING)

Test Automation Consultant

Tampa, FL ยท On-site

$43.50 - $57.50/hr

... AI Agents available within the client ecosystem for testing activities. Preferred Skill and Experience โ€ข Experience in Financial Services domain. โ€ข Experience with automation framework ...

Exposure to AI-assisted testing tools and intelligent test maintenance platforms * Working knowledge of Docker and containerized test environments Key Skills: * Mobile Test Automation * iOS Testing

New

Automation Engineer

Davie, FL ยท On-site

$45 - $55/hr

You'll also get exposure to newer site technologies such as data/historian systems, analytics, AI ... testing, and sustaining support. * Develop and maintain PLC and HMI/SCADA applications (Rockwell ...

Validate AI/ML-enabled GxP systems and automation testing frameworks, including development of validation approaches for non-deterministic outputs and documentation of AI governance requirements A ...

Validate AI/ML-enabled GxP systems and automation testing frameworks, including development of validation approaches for non-deterministic outputs and documentation of AI governance requirements A ...

Validate AI/ML-enabled GxP systems and automation testing frameworks, including development of validation approaches for non-deterministic outputs and documentation of AI governance requirements A ...

Showing results 41-60

Ai Automation Testing information

What is AI automation testing?

AI automation testing refers to the use of artificial intelligence technologies to automate the process of testing software applications. This approach enhances traditional automated testing by using machine learning and data analysis to identify test cases, detect defects, and optimize test coverage. AI-driven testing tools can adapt to changes in the application, reduce manual effort, and improve the accuracy and speed of testing processes. As a result, organizations can deliver higher-quality software more efficiently.

What are the key skills and qualifications needed to thrive as an AI automation testing professional?

To thrive as an AI Automation Testing professional, you need a solid understanding of software testing principles, programming languages (such as Python or Java), and AI/ML concepts, often supported by a degree in computer science or a related field. Familiarity with automation tools like Selenium, Appium, and AI-powered testing frameworks, as well as certifications like ISTQB, is highly valued. Strong analytical thinking, attention to detail, and effective communication skills help professionals excel in diagnosing issues and collaborating with development teams. These skills ensure the delivery of robust, efficient, and reliable AI-driven software products in a competitive technology landscape.

What are some common challenges faced by AI automation testing professionals when validating machine learning models?

AI Automation Testing professionals often encounter challenges such as ensuring that test cases comprehensively cover the unique behaviors of machine learning models, dealing with non-deterministic outputs, and handling large datasets efficiently. It's also common to face difficulties in setting up reliable test environments that simulate real-world data scenarios. Collaboration with data scientists and developers is crucial to define meaningful metrics and effectively interpret test results, ensuring the AI system meets both functional and ethical standards.

What is the difference between Ai Automation Testing vs Software Test Engineer?

AspectAi Automation TestingSoftware Test Engineer
Required CredentialsCertifications in AI, automation tools, programming languagesSoftware testing certifications (ISTQB, CSTE), programming skills
Work EnvironmentFocus on automation frameworks, AI integration, scriptingManual and automated testing, test case design, bug tracking
Employer & Industry UsageTech companies, AI-driven projects, software development firmsSoftware development companies, IT departments, QA teams

Ai Automation Testing and Software Test Engineer roles overlap in testing skills and programming knowledge. However, Ai Automation Testing emphasizes AI integration and automation frameworks, while Software Test Engineers focus more on manual testing, test case creation, and bug identification. Both roles are essential in software quality assurance but serve different aspects of the testing process.

How to become an AI automation tester?

To become an AI automation tester, you should have a strong understanding of software testing principles, programming languages such as Python or Java, and experience with automation tools like Selenium or TestComplete. Familiarity with AI and machine learning concepts can be beneficial, along with certifications in testing or automation. Gaining hands-on experience through internships or projects is also valuable for this role.

Is AI automation testing a good career?

AI automation testing is a growing field within software quality assurance that involves using AI tools and scripting to automate test cases, increasing efficiency and coverage. It requires knowledge of programming, testing frameworks, and AI concepts, making it a valuable skill set with strong job prospects and competitive salaries.

What cities in Florida are hiring for Ai Automation Testing jobs?

Cities in Florida with the most Ai Automation Testing job openings:

Infographic showing various Ai Automation Testing job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 3% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Sr. AI Developer - Remote

Software Guidance & Assistance

Jacksonville, FL โ€ข On-site

$50.50 - $66.75/hr

Other

Posted yesterday

New


Job description

Software Guidance & Assistance, Inc., (SGA), is searching for a Sr. AI Developer - Remote for a contract assignment with one of our premier Healthcare Services clients in FL . This role will be remote.
Responsibilities :
Seeking a Senior AI Developer to help build the next generation of intelligent unstructured data management and intelligent document processing (IDP) solutions for our enterprise. You will have a voice throughout the full development lifecycle, from concept through deployment, of cloud-native systems that securely manage, process, and enable unstructured data at enterprise scale.
This is a strategic technical role that combines AI engineering, backend development, and enterprise data architecture. You will work with AWS (Bedrock, S3, compute), Snowflake, agentic AI frameworks (AgentCore, LangGraph, etc.), automation-to-automation (A2A) solutions, and workflow orchestration platforms to deliver transformative capabilities across the organization.
  • Develop AI-Enabled IDP Solutions: Build intelligent document processing pipelines that extract, classify, and enrich unstructured data using modern AI/ML approaches
  • Cloud Architecture & Implementation: Design and implement scalable, secure solutions leveraging AWS (S3, compute, networking), Snowflake data platforms, and related managed services
  • Agentic AI & Automation: Develop and integrate autonomous agents using frameworks like AgentCore and LangGraph to process and route enterprise data with minimal human intervention
  • Workflow Orchestration: Design and implement complex, production-grade workflows using orchestration frameworks; ensure reliability, auditability, and compliance
  • Backend & Service Development: Build synchronous and asynchronous services, APIs, and microservices that support document ingestion, processing, and downstream consumption
  • Data Governance & Security: Apply data management principles, such as cataloging, lineage, retention, data protection, with healthcare compliance (HIPAA) and security as a foundational requirement
  • Mentorship & Collaboration: Partner with data engineers, platform teams, and business stakeholders to translate requirements into technical solutions; mentor junior engineers
Required Skills :
  • Related Bachelor's degree or related work experience
  • 5+ years related work experience, Professional experience with technical design and coding in the IT industry
  • 5+ years of professional software development experience, with at least 2 years focused on AI/ML development or data engineering in production environments
  • Proficiency in backend/service development: Demonstrated expertise building scalable APIs, microservices, or event-driven systems
  • Cloud platform expertise: Hands-on experience with AWS (S3, EC2, or similar) and modern data warehouses (Snowflake or similar)
  • AI/ML development: Experience building, training, deploying, and operationalizing AI models; including working knowledge of LLMs, foundation models, prompt engineering, RAG architectures, and agentic frameworks.
  • Workflow orchestration: Proven experience with AWS Step Functions, Apache Airflow, Temporal, or equivalent orchestration tools in production
  • Data management fundamentals: Strong grasp of data modeling, pipeline architecture, quality assurance, and governance principles
  • Enterprise software practices: Comfortable with CI/CD, testing, code review, security best practices, and regulatory compliance (healthcare experience a strong plus)
  • Technology Must Haves:
    • Vector DB
    • A2A Framework
    • Workflow Orchistration/Development
    • MCP
    • Agent Core
    • Bedrock
    • S3
    • AWS
    • Snowflake
Preferred Skills :
  • Direct experience with intelligent document processing (IDP), OCR, ICR, NLP, or information extraction
  • Hands-on experience with agentic AI frameworks (AgentCore, LangGraph, or similar)
  • Experience with A2A (automation-to-automation) integration patterns
  • Experience with AWS Bedrock, Claude, or other managed foundation model services
  • Prompt engineering and retrieval-augmented generation (RAG) for domain-specific applications
  • Healthcare industry background
  • Contributions to unstructured data and AI projects
  • Advanced degree (BS/MS) in Computer Science, Data Science, or related field
  • Various Domain experience; Health Care, Financial, etc
  • Experience using Agile, Waterfall, or hybrid methodology
  • Specific tools, languages and specialty skills may vary
By applying for a job with SGA, you agree to allow SGA to process your application for this and future opportunities in accordance with our Privacy Policy. Also, to ensure timely processing, you agree to be contacted by our AI recruiter via email, text, or phone. Message frequency varies and data rates may apply, but you can reply STOP to any SMS message to opt-out of texts and may contact SGA at to opt-out of AI communications. The choice not to engage with AI will not adversely impact your consideration for placement. AI is not used to make any hiring determinations.
SGA is a technology and resource solutions provider driven to stand out. We are a women-owned business. Our mission: to solve big IT problems with a more personal, boutique approach. Each year, we match consultants like you to more than 1,000 engagements. When we say let's work better together, we mean it. You'll join a diverse team built on these core values: customer service, employee development, and quality and integrity in everything we do. Be yourself, love what you do and find your passion at work. Please find us at .
SGA is an Equal Opportunity Employer and does not discriminate on the basis of Race, Color, Sex, Sexual Orientation, Gender Identity, Religion, National Origin, Disability, Veteran Status, Age, Marital Status, Pregnancy, Genetic Information, or Other Legally Protected Status. We are committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, and our services, programs, and activities. Please visit our company to request an accommodation or assistance regarding our policy.