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What skills and qualifications are needed to thrive as a senior artificial intelligence testing professional?

To thrive as a Senior Artificial Intelligence Testing professional, you need expertise in software testing methodologies, machine learning concepts, and proficiency in programming languages like Python, along with a degree in computer science or a related field. Familiarity with AI testing frameworks, automated testing tools (such as TensorFlow, PyTorch, Selenium), and relevant certifications (like ISTQB) is often required. Strong analytical thinking, attention to detail, and effective communication skills distinguish top performers in this role. These competencies are critical to ensuring the quality, reliability, and ethical integrity of AI systems in complex, real-world applications.

What is a senior artificial intelligence testing professional?

Senior Artificial Intelligence Testing professionals are experienced specialists responsible for designing, executing, and overseeing tests to ensure the quality, reliability, and ethical standards of AI systems. They develop test plans, create testing frameworks, and analyze AI model behaviors to identify errors, biases, or security vulnerabilities. They often collaborate with data scientists, engineers, and product managers to refine AI algorithms and ensure they perform as intended in real-world scenarios. Their role is critical in maintaining trust and safety in AI-driven products and services.

Is senior artificial intelligence testing a good career?

Senior artificial intelligence testing is a specialized role that involves evaluating AI systems for accuracy, reliability, and safety, often requiring skills in programming, data analysis, and understanding of machine learning models. It is a growing field with increasing demand as AI technologies expand across industries, offering opportunities for advancement and specialization. The role typically requires experience, technical certifications, and knowledge of testing tools and frameworks.

What are common challenges faced by senior artificial intelligence testing professionals, and how can they be addressed?

Senior Artificial Intelligence Testing professionals often encounter challenges such as ensuring the reliability of complex AI models, dealing with insufficient or biased data, and validating unpredictable outputs. Addressing these issues typically involves developing comprehensive test plans, employing advanced testing frameworks, and collaborating closely with data scientists and engineers. Regular communication with cross-functional teams and staying updated on the latest AI testing methodologies are also essential for overcoming these challenges and ensuring robust, ethical AI systems.

How do I become a senior artificial intelligence testing?

To become a senior artificial intelligence testing professional, candidates typically need a strong background in computer science, machine learning, or related fields, along with experience in AI development and testing. Proficiency in programming languages such as Python, knowledge of AI frameworks, and familiarity with testing tools are essential, often complemented by advanced degrees or certifications in AI or software testing. Progression usually involves gaining experience in AI projects, demonstrating leadership skills, and staying updated with emerging AI technologies.

What is the difference between Senior Artificial Intelligence Testing vs Machine Learning Engineer?

AspectSenior Artificial Intelligence TestingMachine Learning Engineer
Required CredentialsBachelor's or Master's in CS, experience in AI testing toolsBachelor's or Master's in CS, strong programming skills, knowledge of ML frameworks
Work EnvironmentAI development teams, quality assurance, testing labsData science teams, software development environments, cloud platforms
Employer & Industry UsageTech companies, AI-focused firms, research institutionsTech companies, startups, research labs, AI product companies
Common Search & Comparison IntentUnderstanding testing roles in AI projectsDeveloping and deploying machine learning models

While Senior Artificial Intelligence Testing focuses on evaluating and validating AI systems for accuracy and reliability, Machine Learning Engineers design, build, and optimize machine learning models. Both roles require a strong background in computer science and AI, but their core responsibilities differ: testing emphasizes quality assurance, whereas engineering emphasizes model development and deployment.

What are the most commonly searched types of Artificial Intelligence Testing jobs in Florida? The most popular types of Artificial Intelligence Testing jobs in Florida are:
What are popular job titles related to Senior Artificial Intelligence Testing jobs in Florida? For Senior Artificial Intelligence Testing jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Senior Artificial Intelligence Testing jobs in Florida look for? The top searched job categories for Senior Artificial Intelligence Testing jobs in Florida are:
What cities in Florida are hiring for Senior Artificial Intelligence Testing jobs? Cities in Florida with the most Senior Artificial Intelligence Testing job openings:
Senior Artificial Intelligence Testing jobs near you
Infographic showing various Senior Artificial Intelligence Testing job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 10% Part Time, 4% Contract, and 1% Nights. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Senior Director, Machine Learning and Artificial Intelligence

ADT Security Services

Boca Raton, FL • Remote

Full-time

This job post has expired today. Applications are no longer accepted.

ADT rating

7.0

Company rating: 7.0 out of 10

Based on 139 frontline employees who took The Breakroom Quiz

44th of 116 rated security

Job description

Summary:

The Senior Director of Machine Learning and Artificial Intelligence will be a strategic leader responsible for driving the development and execution of our machine learning and broader artificial intelligence initiatives. This individual will lead a team of machine learning engineers, AI engineers, and researchers to build and deploy cutting-edge ML models and AI solutions that create business value and enhance our products and services. 

The ideal candidate will have a strong technical background in machine learning and artificial intelligence, extensive leadership experience, and a proven track record of delivering impactful enterprise-grade AI solutions. This role requires working closely with business partners while understanding and working within the constraints of the business to maintain a competitive technological edge.

Duties and Responsibilities:

  • Team Leadership: Lead and mentor a team of machine learning and AI engineers, fostering a culture of innovation, continuous learning, and excellence. 
  • Strategic Roadmap: Define and execute the comprehensive ML/AI strategy and roadmap, aligning it with the company's overall business objectives and long-term vision. 
  • End-to-End Deployment: Oversee the end-to-end development and deployment of machine learning and artificial intelligence models, from ideation and experimentation to production and monitoring.
  • Cross-Functional Collaboration: Collaborate with product, engineering, data platform, and other cross-functional teams to identify new opportunities for leveraging traditional ML and advanced AI. 
  • AI Innovation & Adoption: Stay up-to-date with the latest advancements in machine learning and AI (including Generative AI, Large Language Models, and computer vision), and drive the adoption of new technologies and best practices. 
  • AI Governance & Ethics: Establish and champion frameworks for responsible AI, ethics, data privacy, and compliance across all model deployments.
  • Stakeholder Communication: Communicate the complex value and business impact of machine learning and AI initiatives to senior leadership, C-suite executives, and other stakeholders. 
  • Roadmap Influence: Influence product and operational roadmaps with actionable data insights and active AI deployments. 
  • Data Strategy: Build a strategic learning roadmap based on data observations, strategic imperatives, and developed hypotheses, while managing robust data and feature pipelines. 
  • Education: Master's degree or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, Mathematics, or a related technical field. 
  • Domain Experience: 10+ years of experience in machine learning and AI, with a proven track record of building, scaling, and deploying production-level models. 
  • Leadership Experience: 5+ years of experience leading and managing high-performing machine learning or AI engineering and research teams. 
  • Technical Expertise: Deep expertise in a variety of machine learning and AI techniques, including deep learning, natural language processing (NLP), reinforcement learning, and Generative AI/Large Language Models (LLMs). 
  • Programming & Frameworks: Strong programming skills in Python and deep experience with ML/AI frameworks such as TensorFlow, PyTorch, or Hugging Face. 
  • Core Skills: Excellent leadership, communication, and project management skills. 
  • Organizational Scaling: Demonstrated success in building and scaling ML/AI organizations from the ground up, including hiring, budgeting, and tool/vendor selection.     
  • Executive Presence: Proven ability to link ML and AI initiatives to P&L outcomes, with experience presenting comprehensive AI strategies to C-suite executives or Board members. 
  • Infrastructure Knowledge: High-level architectural understanding of MLOps, LLMOps, cloud infrastructure (AWS/GCP/Azure), and the full model development lifecycle (MDLC). 

Minimum Qualifications:

Communication Skills:

  • Writing, Talking/Hearing on the phone (Continually=67-100% of workday)

Environment Requirements: 

  • Remote/Home office (Continually=67-100% of the workday)

Travel:

  • Occasionally, less than 25%

What ADT employees say

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Hours and flexibility

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About ADT

Sourced by ZipRecruiter

At ADT Commercial, we are in the business of helping people and organizations to protect what matters most to them. Building upon ADT's 145-year legacy, we secure the livelihoods and futures of critical commercial environments, retail location, educational campuses, healthcare facilities and financial institutions across the U.S. as an industry-leading security, fire and life safety systems integrator. We strive to have the most experienced and technically trained and talented teams in the industry, driven by excellence at every turn. At ADT Commercial, we truly believe that our people are the difference - for our organization, the customers we serve and the communities we protect. When you're a part of ADT Commercial, you'll have the opportunity to be a part of that difference every day. With more than 300 locations, a deep national presence, and comprehensive portfolio of solutions and services, our employees are always poised for career advancement and growth. For more information, visit www.adtcommercial.com or follow us on LinkedIn and Facebook.

Industry

Personal services

Company size

10,000+ Employees

Headquarters location

Boca Raton, FL, US

Year founded

1874

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