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Ai Certificate Jobs (NOW HIRING)

Persistent Systems

AI Engineer

Manhattan, NY · On-site

$133 - $166/hr

Microsoft Azure AI certifications (AI-103, AI-200, AI-300) * AWS Certified Generative AI Developer - Professional * Google Cloud Professional Machine Learning Engineer * Databricks Certified ...

Virtusa Corporation

AWS AI Architect (ATC)

New York, NY · On-site

$70.75 - $93/hr

Preferred / Nice to Have -Professional Machine Learning or AI certifications -Experience in Healthcare Payer or Healthcare Technology environments. -Hands-on experience with CRM platforms like ...

Career Opportunities | (ISC)²

AI Architect

Our globally recognized, award-winning portfolio of certifications provide an independent and ... Position Summary The AI Architect will provide strategic and technical leadership for the ...

Persistent Systems

AI Engineer

Manhattan, NY · On-site

$133K - $166K/yr

Microsoft Azure AI certifications (AI-103, AI-200, AI-300) * AWS Certified Generative AI Developer - Professional * Google Cloud Professional Machine Learning Engineer * Databricks Certified ...

Worky

Gen. AI Engineer

Fort Worth, TX · On-site

$140 - $260/hr

Azure, AWS, Google Cloud, or Databricks AI certifications. Technical Environment * Languages: Python, JavaScript/TypeScript, SQL * Frameworks: LangChain, LangGraph, CrewAI, LlamaIndex, FastAPI, Flask ...

Apex Systems

AI Quality Engineer

Merrifield, VA · On-site

$71K - $92K/yr

Define and implement AI certification, validation, and production readiness standards for enterprise AI agents and intelligent automation solutions. * Develop and execute evaluation frameworks that ...

INFOSYS NOVA HOLDINGS LLC

Gen. AI Engineer

Fort Worth, TX · On-site

$100K - $160K/yr

Azure, AWS, Google Cloud, or Databricks AI certifications. Technical Environment * Languages: Python, JavaScript/TypeScript, SQL * Frameworks: LangChain, LangGraph, CrewAI, LlamaIndex, FastAPI, Flask ...

Peter Millar

NC · On-site

$96K - $127K/yr

Bachelor's or Master's in Computer Science, Machine Learning, or a related field; relevant Azure AI certifications a plus. If you like wild growth and working with happy, enthusiastic over-achievers ...

Stanford University

AI Engineer

Redwood City, CA · On-site

Google/AWS/Azure ML/AI certifications or strong demonstrable portfolio of production AI systems. Preferred : • MLOps Tooling: MLflow, Kubeflow, Vertex Pipelines, SageMaker Pipelines; LangSmith ...

Qualysoft

$66.25 - $87.25/hr

AI certifications * Very good written and spoken English skills * Structured, independent and consulting-oriented way of working * Strong communication and stakeholder management skills Nice to Have

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Ai Certificate information

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How much do ai certificate jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for ai certificate in the United States is $16.52, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $18.27 per hour, depending on experience, location, and employer.

What is the difference between Ai Certificate vs Data Analyst?

AspectAi CertificateData Analyst
Required credentialsCertification programs, online courses in AI and machine learningBachelor's degree in data science, statistics, or related fields
Work environmentTech companies, AI development teams, research labsBusiness, finance, healthcare, and various industries analyzing data
Industry usagePrimarily in AI, machine learning, and deep learning projectsData interpretation, reporting, and decision-making support

The Ai Certificate focuses on skills in artificial intelligence and machine learning, often requiring specialized certifications. Data Analysts typically hold degrees in related fields and focus on analyzing and interpreting data to inform business decisions. While both roles involve working with data, Ai Certificates are more specialized in AI technologies, whereas Data Analysts have a broader scope in data analysis across industries.

Can I get a job with an AI certificate?

An AI certificate can enhance your qualifications for roles such as AI engineer, data scientist, or machine learning specialist. However, employers often value practical experience, programming skills, and a strong understanding of algorithms alongside certifications. Having a certificate can improve your chances but may not guarantee employment without relevant experience.

Which AI certificate is best for jobs?

For AI-related jobs, the most recognized certificates include the TensorFlow Developer Certificate, Microsoft Certified: Azure AI Engineer Associate, and certifications from Coursera or edX in machine learning and AI. These credentials demonstrate proficiency in AI concepts, programming skills, and familiarity with relevant tools like Python and TensorFlow, which are highly valued by employers in the field.
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Ai Certificate jobs near you
Infographic showing various Ai Certificate job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 64% Physical, 4% Hybrid, and 32% Remote job distribution, with an average salary of $34,370 per year, or $16.5 per hour.

Information Risk Analyst - AI

BizTek People, Inc. | APA International Placement Consultants

Portland, OR • On-site

Contractor

Re-posted 16 days ago

Job description


Title: Information Risk Analyst - AI
Duration: 12 Months - (Possible Extensions)
Location: Portland, OR - Remote
Work Hours: 8-5 PST
Job Description
  • The AI Information RiskAnalyst will be responsible for identifying, evaluating, and mitigatingrisks associated with the use of generative AI technologies in ourorganization. This role requires a blend of technical expertise,analytical skills, and strong ethical judgment to ensure that our AIinitiatives are both effective and compliant with regulatory standards.
  • 5 IRM team members whoperform Risk assessments for applications and projects. Standardapplications are used in daily tasks
  • Will be supporting theanalysis AI products (Anthropic Model Claude 3 and Microsoft Azure GPT 4)and Compnay applications (a Generative AI application implementationwith sub bots serving specific business areas)
  • Above mentioned models arebeing used within Company internal VPC with no access to internet.
  • A Security Analyst orInformation Risk Analyst with exposure, training, and maybe 1-2 projectscould meet this need
  • Working with project teamanalyzing use cases for AI implementation. This person will embed with theChatAI project team daily to understand the security needs for theupcoming roadmap items and will be a liaison to communicate any securityrequirements.

Key Responsibilities
  • Conduct comprehensive riskassessments of generative AI systems, identifying potentialvulnerabilities and threats.
  • Collaborate withcross-functional teams to design and implement robust AI securitymeasures.
  • Ensure compliance withrelevant legal, regulatory, and industry standards related to AI and dataprivacy.
  • Develop and maintain riskmanagement frameworks and policies specific to AI applications.
  • Perform regular audits andassessments to monitor the effectiveness of risk mitigation strategies.
  • Provide expert guidance on AIethics and responsible AI practices.
  • Prepare detailed reports andpresentations on risk assessment findings and recommendations for seniormanagement.
  • Stay updated with the latestadvancements in AI, cybersecurity, and risk management practices.

Requirements
REQUIREMENTS
  • Utilities experience notrequired but good to have.
  • Education Requirements(Experience in Lieu of Degree): Any AI certifications
  • Certification Requirements(Any Preferences): CIAP (nice to have)
  • How many years of experienceare you looking for? 5-10 of risk experience, 2 years AI

Top 3 Must-Haves (Hard and/or Soft Skills)
  • Understanding of AI/MLconcepts, algorithms, and models.
  • In-depth familiarity withcybersecurity principles and practices.
  • Understanding of ITinfrastructure, cloud platforms (AWS, Azure, Google Cloud), and theirsecurity protocols.

Top 3 Nice-To-Haves (Hard and/or Soft Skills)
  • Ability to think analyticallyand critically about potential risks.
  • Ability to work effectivelywith cross-functional teams, including data scientists, IT professionals,legal advisors, and business leaders.
  • Strong sense of ethics andresponsibility regarding AI deployment and its societal impacts.

Apply