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Google Ai Engineer Jobs (NOW HIRING)

AI Engineer

Jersey City, NJ · On-site

$109K - $149K/yr

Senior AI Engineer Google AI & Generative Intelligence Location: [Paramus, NJ / Hybrid] Experience Required: 10 15 Years in Software Engineering | 5+ Years in Artificial Generative Intelligence We ...

Utilize Google ADK (AI Developer Kits) and related Google Cloud AI services (e.g., Vertex AI ... Gemini APIs) to deploy robust AI solutions. * Cross-Functional Collaboration: Work closely with ...

We are seeking an experienced AI Engineer with strong expertise in Python and Google Cloud Platform (Google Cloud Platform) to design and develop AI-powered applications, intelligent automation ...

New

Job Summary The Solutions Engineer - Google AI collaborates with account and specialty teams to assess customer cybersecurity needs. They will be a customer-facing cloud AI expert.They will take a ...

Google AI Lead Architect

San Antonio, TX · On-site

$49.75 - $68.25/hr

Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals ...

Google AI Lead Architect

Indianapolis, IN · On-site

$52.75 - $72.50/hr

Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals ...

Google AI Lead Architect

Miami, FL · On-site

$52.75 - $72.50/hr

Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals ...

Google AI Lead Architect

Saint Louis, MO · On-site

$53.75 - $73.75/hr

Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals ...

Google AI Lead Architect

Baltimore, MD · On-site

$55 - $75.25/hr

Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals ...

Google AI Lead Architect

Austin, TX · On-site

$54.75 - $75/hr

Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals ...

Google AI Lead Architect

Los Angeles, CA · On-site

$59.50 - $81.50/hr

Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals ...

Google AI Lead Architect

New Orleans, LA

$53 - $72.75/hr

Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals ...

Google AI Lead Architect

Chicago, IL · On-site

$57 - $78/hr

Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals ...

Google AI Lead Architect

Boston, MA

$60 - $82.25/hr

Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals ...

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Google Ai Engineer information

See salary details

$39K

$101.8K

$137.5K

How much do google ai engineer jobs pay per year?

As of Jul 1, 2026, the average yearly pay for google ai engineer in the United States is $101,752.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,000.00 and $116,500.00 per year, depending on experience, location, and employer.

What are Google AI Engineers?

Google AI Engineers are professionals who design, develop, and implement artificial intelligence and machine learning solutions at Google. They work on a wide range of projects, from improving search algorithms to developing intelligent systems for products like Google Assistant, Photos, and Cloud AI services. Their responsibilities include data analysis, model building, testing, and deployment of AI models in production environments. These engineers often collaborate with researchers, data scientists, and product teams to solve complex problems using the latest advancements in AI and machine learning.

What are some common challenges faced by Google AI Engineers when deploying machine learning models to production?

Google AI Engineers often encounter challenges such as ensuring models are scalable and efficient enough to handle large-scale data, maintaining model performance over time, and addressing issues related to fairness and bias. Collaborating with cross-functional teams, such as product managers and software engineers, is crucial for aligning technical solutions with product goals. Additionally, AI Engineers must keep up with evolving frameworks and best practices to optimize deployment pipelines and monitor models post-launch for potential drift or degradation.

What is the difference between Google Ai Engineer vs Machine Learning Engineer?

AspectGoogle Ai EngineerMachine Learning Engineer
Required CredentialsBachelor's or higher in CS, AI, or related fields; experience with AI frameworksBachelor's or higher in CS, Data Science, or related fields; strong programming skills
Work EnvironmentTech companies, research labs, AI-focused teamsTech firms, startups, data-driven organizations
Industry UsagePrimarily in AI product development at Google and similar companiesAcross various industries implementing ML solutions
Common Search/ComparisonYesYes

The Google AI Engineer and Machine Learning Engineer roles share many credentials and work environments, but AI Engineers focus more on developing advanced AI models and research, while ML Engineers often implement and optimize machine learning algorithms for practical applications across industries.

What are the key skills and qualifications needed to thrive as a Google AI Engineer, and why are they important?

To thrive as a Google AI Engineer, you need a strong background in computer science, mathematics, and machine learning, typically supported by a relevant degree and experience in algorithm development. Familiarity with TensorFlow, Python, cloud computing platforms, and often certifications in AI or data science are essential for daily tasks. Problem-solving abilities, creativity, and effective collaboration are standout soft skills in this role. These skills are vital for developing innovative AI solutions that align with Google’s standards of performance, scalability, and impact.
More about Google Ai Engineer jobs
What cities are hiring for Google Ai Engineer jobs? Cities with the most Google Ai Engineer job openings:
What states have the most Google Ai Engineer jobs? States with the most job openings for Google Ai Engineer jobs include:

$109K - $149K/yr

Other

Posted 14 days ago


Job description

Senior AI Engineer Google AI & Generative Intelligence
Location: [Paramus, NJ / Hybrid]
Experience Required: 10 15 Years in Software Engineering | 5+ Years in Artificial Generative Intelligence
Job Description:
We are seeking a highly experienced Senior AI Engineer with deep expertise in Google AI technologies, Generative AI, and Large & Small Language Model (LLM/SLM) development. The ideal candidate brings 10 15 years of broad software engineering experience, with the last 5 years focused exclusively on Artificial Generative Intelligence, including designing, building, deploying, and monitoring production-grade AI systems. This role demands mastery of the Google ecosystem including Google Workspace, Google Agent Development Kit (ADK), and Vertex AI alongside a strong command of modern LLM/SLM frameworks, cloud-native infrastructure, and MLOps best practices.
Required Qualifications
10 15 years of overall software engineering experience.
5+ years of hands-on experience in Artificial Generative Intelligence, including LLMs, SLMs, RAG, and multi-agent systems.
Deep expertise in Google AI ecosystem: Gemini, Vertex AI, Google ADK, Google AI Studio, and Google Workspace integrations.
Proficiency in Python (primary) and familiarity with Node.js.
Strong background in cloud-native development on Google Cloud Platform.
Demonstrated experience with model fine-tuning (LoRA, QLoRA, PEFT) and model evaluation frameworks.
Solid understanding of MLOps, CI/CD for AI systems, and production deployment best practices.
Experience with multi-agent AI architectures using Semantic Kernel, or LangGraph.
Preferred Qualifications
Google Cloud Professional certifications ( Professional ML Engineer, Professional Cloud Architect).
Contributions to open-source AI/ML projects.
Experience with edge AI deployments and hybrid cloud-edge inference.
Familiarity with synthetic data generation pipelines.
Prior experience mentoring junior engineers or interns in AI/ML domains.