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Artificial Intelligence Software Engineer Jobs (NOW HIRING)

We are looking to add an experienced Artificial Intelligence (AI) Engineer to our dynamic team and ... This role involves working closely with software engineers and other stakeholders to build ...

Helsing develops artificial intelligence-enabled capabilities to protect and defend democracies. They are seeking a Software Engineer proficient in Rust to work on their Altra drone software platform ...

Artificial Intelligence Engineer III

Madison, WI · On-site

$58 - $77.75/hr

We are seeking an Artificial Intelligence Engineer III to join our team Summary: This position is ... This role applies advanced software, data science, machine learning, and LLM engineering expertise ...

Artificial Intelligence Engineer III

Madison, WI · On-site

$58 - $77.75/hr

We are seeking an Artificial Intelligence Engineer III to join our team Summary: This position is ... This role applies advanced software, data science, machine learning, and LLM engineering expertise ...

Artificial Intelligence Engineer III

Madison, WI · On-site

$58 - $77.75/hr

We are seeking an Artificial Intelligence Engineer III to join our team Summary: This position is ... This role applies advanced software, data science, machine learning, and LLM engineering expertise ...

Artificial Intelligence Engineer III

Madison, WI · On-site

$58 - $77.75/hr

We are seeking an Artificial Intelligence Engineer III to join our team Summary: This position is ... This role applies advanced software, data science, machine learning, and LLM engineering expertise ...

Showing results 21-40

Artificial Intelligence Software Engineer information

See salary details

$63.5K

$147.5K

$205.5K

How much do artificial intelligence software engineer jobs pay per year?

As of Aug 12, 2026, the average yearly pay for artificial intelligence software engineer in the United States is $147,524.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,000.00 and $173,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an artificial intelligence software engineer?

To thrive as an Artificial Intelligence Software Engineer, you need a solid background in computer science, mathematics, and machine learning, often supported by a relevant degree and experience with AI frameworks. Proficiency in programming languages like Python or Java, and familiarity with tools such as TensorFlow, PyTorch, and cloud platforms are typically required. Strong problem-solving skills, creativity, and effective communication help set top performers apart in this role. These competencies are crucial for designing innovative AI solutions, collaborating with teams, and ensuring successful deployment in real-world applications.

What does an artificial intelligence software engineer do?

An Artificial Intelligence Software Engineer designs, develops, and implements software systems that use AI techniques such as machine learning, deep learning, and natural language processing. They work with large datasets, build and train models, and integrate AI capabilities into applications to solve complex problems. Their responsibilities often include collaborating with data scientists, optimizing algorithms, and ensuring the scalability and efficiency of AI solutions.

What is the difference between Artificial Intelligence Software Engineer vs Data Scientist?

AspectArtificial Intelligence Software EngineerData Scientist
Required CredentialsBachelor's or higher in CS, AI, or related fields; programming skillsBachelor's or higher in CS, Statistics, or related fields; strong analytical skills
Work EnvironmentDevelops AI models, algorithms, and software applicationsAnalyzes data, builds models, and interprets insights
Employer & Industry UsageTech companies, AI startups, research labsBusiness, finance, healthcare, tech sectors
Common Search & ComparisonFocuses on AI development and software engineeringFocuses on data analysis and statistical modeling

While both roles require programming skills and a background in data or AI, Artificial Intelligence Software Engineers primarily develop AI algorithms and software applications, whereas Data Scientists analyze data to extract insights and build predictive models. The roles often overlap but serve different core functions within tech and data-driven organizations.

How does an artificial intelligence software engineer typically collaborate with data scientists and product teams?

Artificial Intelligence Software Engineers frequently work alongside data scientists to translate complex models and algorithms into scalable, production-ready code. They also collaborate closely with product managers and UX teams to ensure AI solutions align with user needs and business objectives. Effective communication and a strong understanding of both software engineering and data science principles are essential, as these engineers often serve as a bridge between technical and non-technical stakeholders throughout the project lifecycle.
More about Artificial Intelligence Software Engineer jobs
What cities are hiring for Artificial Intelligence Software Engineer jobs? Cities with the most Artificial Intelligence Software Engineer job openings:
What states have the most Artificial Intelligence Software Engineer jobs? States with the most job openings for Artificial Intelligence Software Engineer jobs include:
Infographic showing various Artificial Intelligence Software Engineer job openings in the United States as of August 2026, with employment types broken down into 25% Internship, and 75% Full Time. Highlights an 75% In-person, and 25% Remote job distribution, with an average salary of $147,524 per year, or $70.9 per hour.

Software Engineering Manager II, Pixel Security

Google Inc.

Mountain View, CA • On-site

$207 - $301/hr

Other

Re-posted 18 days ago


Google rating

8.8

Company rating: 8.8 out of 10

Based on 103 frontline employees who took The Breakroom Quiz

49th of 243 rated software companies


Job description

Software Engineering Manager II, Pixel Security
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corporate_fare Google place Mountain View, CA, USA

Advanced

Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders;deep expertise in domain.

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  • Bachelor's degree or equivalent practical experience.
  • 8 years of experience in software development.
  • 3 years of experience in a technical leadership role.
  • 2 years of experience in a people management or team leadership role.
  • Experience with device, OS, or embedded system security.
  • Experience working in embedded or operating systems software.
Preferred qualifications:
  • Master's degree or PhD in Computer Science or related technical field.
  • 3 years of experience working in a complex organization.
  • 2 years of experience managing distributed teams or mentoring technical leads.
  • Experience in technical leadership or engineering management overseeing software, systems, or security teams.
  • Experience building or managing backend security services, PKI/signing infrastructure, or CI/CD automation.
  • Experience with low-level platform firmware, memory-safe languages (Rust), secure bootloaders, or hardware security modules (HSMs).
About the job

Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way.
With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally.

The Google Pixel team focuses on designing and delivering the world's most helpful mobile experience. The team works on shaping the future of Pixel devices and services through some of the most advanced designs, techniques, products, and experiences in consumer electronics. This includes bringing together the best of Google’s artificial intelligence, software, and hardware to build global smartphones and create transformative experiences for users across the world.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

About the job

Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way.
With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally.

The Google Pixel team focuses on designing and delivering the world's most helpful mobile experience. The team works on shaping the future of Pixel devices and services through some of the most advanced designs, techniques, products, and experiences in consumer electronics. This includes bringing together the best of Google’s artificial intelligence, software, and hardware to build global smartphones and create transformative experiences for users across the world.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $207000 - $301000 (USD) + 20% bonus target + equity + benefits
Learn more about benefits at Google .

  • Manage, coach, and grow emerging technical managers overseeing security infrastructure, new security initiatives, and low-level firmware.
  • Oversee ARM Trusted Firmware execution environments and drive the architectural evolution of porting secure low-level platform code to memory-safe Rust.
  • Guide the engineering roadmap for secure diagnostic tools, advanced cryptographic signing pipelines, and automated lab testing.
  • Collaborate directly with custom silicon design, platform security, and manufacturing teams to ensure device integrity.
  • Design and analyze various security systems on Pixel devices.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

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