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Azure Ai Engineer Remote Jobs in Remote, OR (NOW HIRING)

Azure Data Scientist Associate, or TensorFlow Developer Certification. Additional Information Work ... Full remote flexibility. Working at SOSi All interested individuals will receive consideration and ...

Senior Lead Applied AI Scientist

OR · Remote

$176K - $220K/yr

In this role, you will partner with business, product, engineering, and technology leaders to ... Bonus Structure #LI-REMOTE #LI-SB1 Requisition #: 342925 Life at Lumen Life at Lumen is human and ...

NETWORK ENGINEER

OR · On-site +1

... AI-powered, end-to-end solutions for all industries. Atos Group is the brand under which Atos SE ... Experience with Virtualized Networks (VMware, Google Cloud Platform, Azure Cloud Platform)

... AI-powered, end-to-end solutions for all industries. Atos Group is the brand under which Atos SE ... Experience with Virtualized Networks (VMware, Google Cloud Platform, Azure Cloud Platform)

... across Azure, AWS, and GCP. Develop reusable reference architectures, solution patterns, and ... engineering practices. Establish cost-aware patterns for compute, storage, networking, AI/ML ...

As the company advances AI-ready connectivity and digital infrastructure for customers around the ... Experience with Cloud & Infrastructure - Azure hands-on experience, especially AKS (Kubernetes ...

Senior Construction Engineer

OR · Remote

$84K - $112K/yr

Lumen is the trusted network for AI. We're transforming how businesses connect, secure, and scale ... Benefits * Bonus Structure #LI-Remote Requisition #: 342055 Background Screening If you are ...

Senior Front End Engineer - Avaya Infinity Platform

OR · On-site +1

$114K - $158K/yr

... AI-assisted development tools thoughtfully - using them to accelerate delivery while applying ... CD, Azure. What We're Looking For Must Have - 7+ years of professional software engineering ...

Senior Front End Engineer - Avaya Infinity Platform

OR · Remote

$125K - $172K/yr

... AI-assisted development tools thoughtfully - using them to accelerate delivery while applying ... CD, Azure. What We're Looking For Must Have - 7+ years of professional software engineering ...

Pre-Sales Engineer, Workers' Compensation Location : Remote (US) Sapiens is on the lookout for a ... LI-Remote We Are Sapiens International Corporation N.V. is a global leader of AI-centric, SaaS ...

Sr Software Engineer

OR · Remote

$84K - $112K/yr

We enable secure, highperformance connectivity across cloud, edge, and AI workloads for enterprises ... Location This role is designated as a fully remote position within the United States. The Main ...

New

Revenue Operations Lead - 100% Remote

OR · On-site +1

$140K - $170K/yr

... AI agents or workflows using Claude, ChatGPT, or other LLM platforms, including prompt engineering ... We're a lean, fully remote team of around 50 people in the middle of an ambitious chapter: evolving ...

Lead Software Engineer

OR · Remote

$105K - $141K/yr

We enable secure, highperformance connectivity across cloud, edge, and AI workloads for enterprises ... Location This role is designated as a fully remote position within the United States. The Main ...

New

Senior Lead Cloud Engineer

OR · Remote

$132K - $176K/yr

We enable secure, highperformance connectivity across cloud, edge, and AI workloads for enterprises ... Benefits Bonus Structure #LI-Remote #LI-ZM1 Requisition #: 342644 Life at Lumen Life at Lumen is ...

Showing results 21-40

Azure Ai Engineer Remote information

See Remote, OR salary details

$25

$53

$76

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

As of Aug 20, 2026, the average hourly pay for azure ai engineer remote in Remote, OR is $53.58, according to ZipRecruiter salary data. Most workers in this role earn between $43.22 and $62.21 per hour, depending on experience, location, and employer.

What is an Azure AI engineer?

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.

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 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.

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 the most commonly searched types of Azure Ai Engineer jobs in Remote, OR?

The most popular types of Azure Ai Engineer jobs in Remote, OR are:

What are popular job titles related to Azure Ai Engineer Remote jobs in Remote, OR?

For Azure Ai Engineer Remote jobs in Remote, OR, the most frequently searched job titles are:

What job categories do people searching Azure Ai Engineer Remote jobs in Remote, OR look for?

The top searched job categories for Azure Ai Engineer Remote jobs in Remote, OR are:

What cities near Remote, OR are hiring for Azure Ai Engineer Remote jobs?

Cities near Remote, OR with the most Azure Ai Engineer Remote job openings:

Senior Data Scientist

SOSi

OR • On-site, Remote

Full-time

Re-posted 4 days ago


Job description

Company Description
Founded in 1989, SOSi is among the largest private, founder-owned technology and services integrators in the defense and government services industry. We deliver tailored solutions, tested leadership, and trusted results to enable national security missions worldwide.
Job Description
SOSi is seeking a Senior Data Scientist to support mission requirements for a structured approach to further develop, integrate, and sustain a scalable, federated data ecosystem that enhances interoperability, governance, and mission-driven analytics for a DoD customer. The primary objective of the program is to bridge the operational gaps between DoD, IC, interagency, and non-traditional international partners to enable real-time information sharing, dynamic data integration, and mission-tailored analytical capabilities.
Essential Job Duties:
  • The contractor shall design and implement advanced ML models and statistical methods to optimize forecasting, risk assessment, and decision-making processes.
  • The contractor shall conduct data provenance tracking, ensuring documentation of sources, transformations, and lineage for compliance with governance policies.
  • The contractor shall submit the Data Provenance & Lineage Report, summarizing transformation workflows, feature engineering processes, and audit compliance.
  • The contractor shall implement sprint-based Agile methodologies, ensuring rapid development cycles, backlog grooming, and alignment with mission requirements.
  • The contractor shall provide a Rough Order of Magnitude (ROM) Estimate Report before each analytics project, detailing expected Full-Time Equivalent (FTE) hours, compute costs, storage consumption, and infrastructure requirements.
  • The contractor shall conduct quarterly reviews to track cost efficiency, assess system performance, and optimize analytic workflows through the Quarterly Cost & Resource Utilization Report.

Qualifications
  • Active TS/SCI Clearance.
  • Master's degree in Data Science, Machine Learning, Statistics, or a related field, or;
    • nine (9) years of equivalent experience in AI/ML model development and deployment.
  • Personnel must have demonstrated experience in building and validating AI/ML models using Python, TensorFlow, PyTorch, or Scikit-learn, integrating models into production environments, and optimizing performance for real-time analytics.
  • Experience with Databricks, Apache Spark, or similar distributed data processing frameworks is required.
  • Experience working with geospatial datasets and integrating AI/ML solutions into mission-critical applications.
  • Possess the knowledge and capability to develop advanced machine learning models and optimize analytic workflows for predictive and prescriptive intelligence.
  • Proficient in deep learning, supervised and unsupervised learning techniques, data wrangling, and feature engineering.
  • Experience with data provenance tracking, model explainability, and bias mitigation in AI/ML applications is required.
  • Personnel must be able to translate operational challenges into analytic solutions, ensuring integration of structured, unstructured, and geospatial data.

Preferred Qualifications:
  • Desirable but not required certifications include Google Professional Machine Learning Engineer, Microsoft Certified: Azure Data Scientist Associate, or TensorFlow Developer Certification.

Additional Information
Work Environment
  • Full remote flexibility.

Working at SOSi
All interested individuals will receive consideration and will not be discriminated against for any reason.