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Azure Ai Engineer Remote Jobs in Basking Ridge, NJ

New York, NY (Hybrid - Wednesday Remote) Employment Type: Full-TimeHireNow Staffing is actively recruiting multiple seasoned, highly skilled Applied AI Engineers to join one of our valued client ...

As a Generative AI Engineer on the ED&A team, you will build the agentic AI systems that change how ... Azure, open-source models via Dataiku's LLM Mesh), applying model routing strategies to balance ...

As a Generative AI Engineer on the ED&A team, you will build the agentic AI systems that change how ... Azure, open-source models via Dataiku's LLM Mesh), applying model routing strategies to balance ...

As a Generative AI Engineer on the ED&A team, you will build the agentic AI systems that change how ... Azure, open-source models via Dataiku's LLM Mesh), applying model routing strategies to balance ...

Remote What is in it for you? As a Gen AI Engineer , you will design, develop, and maintain Generative AI solutions that drive intelligent automation and advanced data processing. Responsibilities:

Senior AI Engineer

New York, NY ยท On-site +1

$114K - $157K/yr

We offer unlimited PTO, a flexible remote work policy, and a supportive environment that ... Advanced hands-on experience with AWS, Azure, or Google Cloud; strong containerization expertise ...

Senior AI Engineer

New York, NY ยท On-site +1

$114K - $157K/yr

Solid understanding of cloud-based infrastructure (AWS, GCP, or Azure). * Experience applying LLMs and generative AI in production, including prompt engineering, RAG, and LLM deployment. * Strong ...

... Azure, and Entra ID. You will contribute across a hybrid environment, leading technical projects on ... Work closely with IT and AI acceleration teams to onboard newly developed AI use cases in a secure ...

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Azure Ai Engineer Remote information

See Basking Ridge, NJ salary details

$26

$55

$79

How much do azure ai engineer remote jobs pay per hour?

As of Jun 12, 2026, the average hourly pay for azure ai engineer remote in Basking Ridge, NJ is $55.27, according to ZipRecruiter salary data. Most workers in this role earn between $44.62 and $64.18 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Azure AI Engineer (Remote), and why are they important?

To thrive as an Azure AI Engineer (Remote), you need expertise in AI/ML concepts, programming languages like Python, and experience with cloud platforms, especially Microsoft Azure, often supported by a degree in computer science or a related field. Familiarity with Azure AI services (such as Azure Machine Learning, Cognitive Services), DevOps tools, and certifications like Microsoft Certified: Azure AI Engineer Associate are typically required. Strong problem-solving, communication, and collaboration skills are essential for remote teamwork and project delivery. These abilities ensure effective design, deployment, and management of AI solutions that meet business objectives in distributed environments.

How do Azure AI Engineers typically collaborate with cross-functional teams in a remote setting?

As an Azure AI Engineer working remotely, you'll frequently collaborate with data scientists, software developers, and project managers through virtual meetings and cloud-based project management tools. Effective communication is crucial, as you'll need to translate complex AI solutions into actionable insights for both technical and non-technical stakeholders. You may participate in daily stand-ups, code reviews, and collaborative design sessions to ensure alignment on project goals and integration of AI models into larger cloud architectures. Remote work often requires strong self-management skills and proactive sharing of progress to maintain team cohesion.

What is the difference between Azure Ai Engineer Remote vs Data Scientist Remote?

AspectAzure Ai Engineer RemoteData Scientist Remote
Required CredentialsAzure certifications, AI/ML knowledgeStatistics, programming, data analysis skills
Work EnvironmentCloud platforms, AI development toolsData analysis, modeling, research environments
Employer & Industry UsageTech companies, AI-focused firmsResearch institutions, tech companies, finance
Search & Comparison IntentUnderstanding role differences, job requirementsCareer options, skill overlaps

Azure Ai Engineer Remote focuses on developing and deploying AI solutions using Azure cloud services, requiring certifications like Azure AI Engineer Associate. Data Scientist Remote emphasizes analyzing data, building models, and deriving insights, often with statistical and programming skills. While both roles involve data and AI, Azure Ai Engineers are more cloud and deployment-oriented, whereas Data Scientists focus on analysis and research.

What are Azure AI Engineers?

Azure AI Engineers are professionals who design, build, and deploy artificial intelligence solutions using Microsoft Azure's suite of AI services. They work with data scientists, developers, and stakeholders to integrate AI capabilities such as computer vision, natural language processing, and machine learning into cloud-based applications. Their responsibilities often include managing Azure AI resources, optimizing models for performance and scalability, and ensuring solutions align with business needs, all while working remotely.
What are popular job titles related to Azure Ai Engineer Remote jobs in Basking Ridge, NJ? For Azure Ai Engineer Remote jobs in Basking Ridge, NJ, the most frequently searched job titles are:
What cities near Basking Ridge, NJ are hiring for Azure Ai Engineer Remote jobs? Cities near Basking Ridge, NJ with the most Azure Ai Engineer Remote job openings:

Generative AI Engineer (Instructor)

Sizanid Staffing

New York, NY โ€ข Remote

Part-time

Posted 23 days ago


Job description

Position: Generative AI Engineer (Instructor)

About Our Client:

Our client, a forward-thinking technology organization, is seeking an experienced Generative AI Engineer to join their team as an Instructor. This role involves not only developing innovative generative AI models and solutions but also training and mentoring teams or clients on the implementation and best practices of generative AI technologies.

Key Responsibilities:
  • Design, develop, and implement generative AI models and applications using state-of-the-art techniques.
  • Deliver training sessions, workshops, and tutorials on generative AI concepts, tools, and best practices to engineers, data scientists, and other stakeholders.
  • Create comprehensive instructional materials, including manuals, slide decks, and hands-on exercises.
  • Stay current with latest research and advancements in generative AI, NLP, and related technologies.
  • Collaborate with cross-functional teams to integrate generative AI solutions into product pipelines.
  • Provide technical guidance and support to teams adopting generative AI technology.
  • Evaluate and optimize existing AI models for performance, scalability, and robustness.
  • Assist in curriculum development for internal training programs related to AI and machine learning.

Requirements

Qualifications & Skills:

  • Advanced degree (Masterโ€™s or PhD) in Computer Science, Artificial Intelligence, Machine Learning, or related fields.
  • Bachelors with more 6-8 years experience
  • Proven experience in developing generative AI models using frameworks such as TensorFlow, PyTorch, or similar.
  • Strong knowledge of NLP techniques, transformer architectures (e.g., GPT, BERT), and generative modeling.
  • Experience in instructional design and delivering technical training or workshops.
  • Proficiency in programming languages like Python and relevant AI/ML libraries.
  • Excellent communication and presentation skills, with ability to convey complex technical concepts to diverse audiences.
  • Familiarity with cloud AI platforms (AWS SageMaker, Google AI Platform, Azure ML) is a plus.

Preferred Qualifications:

  • Experience with prompt engineering and fine-tuning large language models.
  • Background in developing AI products or solutions in a commercial environment.
  • Strong teamwork and mentoring abilities.
  • Active contributor to AI research or open-source projects.

Benefits

Part time. Pay depends on experience.