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Manager Google Artificial Intelligence Jobs (NOW HIRING)

Stefanini

Artificial Intelligence Engineer

Dearborn, MI · Hybrid

Stefanini is looking for an Artificial Intelligence Engineer (Dearborn, MI) For quick apply, please ... for Google Cloud Vertex AI or equivalent managed ML platforms Demonstrated experience building ...

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How much do manager google artificial intelligence jobs pay per hour?

As of Jun 13, 2026, the average hourly pay for manager google artificial intelligence in the United States is $26.35, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $32.69 per hour, depending on experience, location, and employer.

What is a $900,000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior manager or executive role, often involving leadership, strategic planning, and advanced technical skills. These roles usually require extensive experience, expertise in machine learning or deep learning, and may include responsibilities like overseeing AI projects or teams in large organizations.

What is the salary of Google AI?

The salary for a Manager in Google Artificial Intelligence typically ranges from $130,000 to $200,000 annually, depending on experience, location, and specific responsibilities. Compensation may also include bonuses, stock options, and other benefits. These figures are based on industry data and can vary widely across regions and individual qualifications.

Is L7 a good level at Google?

At Google, L7 is considered a senior leadership level, often held by experienced managers or senior individual contributors. It signifies a high level of responsibility, expertise, and impact within the company. For a Manager in Google Artificial Intelligence, reaching L7 indicates a significant level of experience and leadership capability.

Which 3 jobs will survive AI?

For a Manager in Google Artificial Intelligence, roles that require complex problem-solving, strategic decision-making, and human interaction are likely to persist, such as AI ethics specialists, AI product managers, and data scientists. These jobs involve oversight, creativity, and nuanced understanding that AI tools currently cannot fully replicate. Continuous learning and expertise in AI tools and ethical considerations are essential for long-term career resilience.
What cities are hiring for Manager Google Artificial Intelligence jobs? Cities with the most Manager Google Artificial Intelligence job openings:
What are the most commonly searched types of Google Artificial Intelligence jobs? The most popular types of Google Artificial Intelligence jobs are:
What states have the most Manager Google Artificial Intelligence jobs? States with the most job openings for Manager Google Artificial Intelligence jobs include:
Manager Google Artificial Intelligence jobs near you
Software Engineer 4 - Artificial Intelligence

Software Engineer 4 - Artificial Intelligence

CTS International

Cambridge, MA

Other

Posted 11 days ago

Job description

DevSecOps Software Engineer

The Company is seeking a broad range of experience levels including; Experienced, Senior, and Subject Matter Expert (SME)/Technical Lead Engineer (TLE) Level DevSecOps Software Engineers who will provide engineering support for a new SW engineering initiative involving AI tools. This position will be physically located in Cambridge, Massachusetts. Designs, develops, documents and implements appropriate and best-fit Artificial Intelligence algorithms and models using standard methods and tools considering ethical implications and potential biases. Uses existing AI tools to analyze their effectiveness in code generation, and application to avionics code. Collects, cleans, preprocesses and analyzes large datasets to ensure data quality, reliability and identifies patterns, trends, and insights. Tests, documents, and debugs Artificial Intelligence models and software systems. Trains, evaluates and optimizes performance and capabilities of Artificial Intelligence models. Conducts Safety Risk Management process for Artificial Intelligence models in accordance with organizational standards. Integrates and deploys efficient and scalable Artificial Intelligence models into production environments. Monitors, validates and improves in-production Artificial Intelligence models. Partners with cross functional teams and domain experts to understand business requirements, gather feedback, and iterate Artificial Intelligence models and algorithms. Researches and implements current and emerging technologies, tools, frameworks, and regulations in the engineering Artificial Intelligence environment and contributes to Artificial Intelligence Design Practice(s).

Senior (Level 4)

  • Leads design, development, documentation and implementation of appropriate and best-fit Artificial Intelligence algorithms and models using standard methods and tools considering ethical implications and potential biases.
  • Ability to lead and help junior engineers in accomplishing technical engineering activities.
  • Familiar with automated testing methodologies and frameworks (e.g., Google Test, PyTest) to ensure rapid and efficient test execution.
  • Understanding of CI/CD practices and experience with CI/CD tools (e.g., Jenkins, GitLab CI/CD) to automate and optimize workflows a plus.
  • Ability to collaborate effectively with HIL teams to integrate software with hardware-in-the-loop testing environments a plus.
  • Strong willingness to leverage AI tools and technologies to accelerate software development and testing processes; familiarity with AI frameworks (e.g., TensorFlow, PyTorch) is a plus.
  • Experience in C, C++, Python, or modern coding languages.
  • Familiarity with ADA or avionics software is a plus.
  • Strong team player who enjoys collaboration and the fast-paced startup/high-tech culture.
  • Excellent documentation and communication skills for effective collaboration with cross-functional teams.

Basic Qualifications (Required Skill/Experience): Bachelor's degree and typically 3 or more years' experience in a software engineering classification or a Master's degree with 1 year of experience in a software engineering classification. Must be able to work onsite in Cambridge, MA. No relocation offered

Preferred Qualifications (Desired Skills/Experience): Education or experience in AI Algorithms and/or use of AI Tools Ability to obtain a U.S. Security Clearance if sponsored. Typical Education/Experience: Senior (Level 4) Education/experience typically acquired through advanced technical education from an accredited course of study in engineering, computer science, mathematics, physics or chemistry (e.g. Bachelor) and typically 5 or more years' related work experience or an equivalent combination of technical education and experience (e.g. PhD+1 years' related work experience, Master+3 years' related work experience).

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