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From Home Azure Ai Engineer Jobs (NOW HIRING)

GEI Consultants

AI Engineer

Atlanta, GA · On-site

Familiarity with Azure AI library APIs, including GPT, Codex, and DALL • E, and other frameworks ... We are GEI. Some of the world's most pressing problems - from climate change to sustainable ...

GEI Consultants

AI Engineer

Cary, NC

$110K - $150K/yr

Familiarity with Azure AI library APIs, including GPT, Codex, and DALL · E, and other frameworks ... We are GEI. Some of the world's most pressing problems - from climate change to sustainable ...

GEI Consultants

AI Engineer

Denver, CO · On-site

Familiarity with Azure AI library APIs, including GPT, Codex, and DALL • E, and other frameworks ... We are GEI. Some of the world's most pressing problems - from climate change to sustainable ...

GEI Consultants

AI Engineer

Manhattan, NY

$110K - $150K/yr

Familiarity with Azure AI library APIs, including GPT, Codex, and DALL · E, and other frameworks ... We are GEI. Some of the world's most pressing problems - from climate change to sustainable ...

GEI Consultants

AI Engineer

Pasadena, CA · On-site

Familiarity with Azure AI library APIs, including GPT, Codex, and DALL • E, and other frameworks ... We are GEI. Some of the world's most pressing problems - from climate change to sustainable ...

GEI Consultants

AI Engineer

Dallas, TX · On-site

Familiarity with Azure AI library APIs, including GPT, Codex, and DALL • E, and other frameworks ... We are GEI. Some of the world's most pressing problems - from climate change to sustainable ...

GEI Consultants

AI Engineer

Wakefield, MA · On-site

Familiarity with Azure AI library APIs, including GPT, Codex, and DALL • E, and other frameworks ... We are GEI. Some of the world's most pressing problems - from climate change to sustainable ...

Advent Global Solutions, Inc.

Sr. AI Engineer

Irving, TX · On-site

$100K - $137K/yr

Role: Sr. AI Engineer Duration 6+ months Contract to hire will need 3 months conversion waiver ... Experience with Microsoft Azure AI services, Azure Machine Learning, or comparable cloud AI ...

Lantern

Azure AI Applications Engineer

Dallas, TX · On-site

They are seeking an Azure AI Applications Engineer to lead the development of intelligent applications leveraging Microsoft Azure's AI ecosystem, working across various sectors to deliver innovative ...

Socket.dev

Senior AI Engineer

Virginia, MN · On-site

$170 - $185/hr

Azure Machine Learning * Azure Cognitive Services / AI Services * Power Platform (Power Apps, Power Automate, Power Virtual Agents) * SharePoint Online & Microsoft 365 ecosystem * Strong programming ...

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All JobsAzure Ai Engineer JobsFrom Home Azure Ai Engineer Jobs

From Home Azure Ai Engineer information

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$39K

$101.8K

$137.5K

How much do from home azure ai engineer jobs pay per year?

As of Aug 15, 2026, the average yearly pay for from home azure 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 is the difference between From Home Azure Ai Engineer vs From Home Data Scientist?

AspectFrom Home Azure Ai EngineerFrom Home Data Scientist
Required CredentialsAzure certifications, AI and cloud computing skillsStatistics, programming, data analysis certifications
Work EnvironmentRemote, cloud-based projects, collaboration with AI teamsRemote, data analysis, modeling, and research tasks
Industry UsageTech, cloud services, AI developmentFinance, healthcare, marketing, research
Search & Comparison IntentUnderstanding roles in AI and cloud engineeringComparing data science and AI engineering roles

From Home Azure Ai Engineer focuses on developing and deploying AI solutions using Azure cloud services, requiring cloud and AI certifications. From Home Data Scientist specializes in analyzing data, building models, and deriving insights, often with statistical expertise. Both roles are remote and industry-relevant but serve different functions within tech and data-driven organizations.

What's the salary for a From Home Azure Ai Engineer?

A remote Azure AI Engineer typically earns between $80,000 and $130,000 annually, depending on experience, certifications, and location. Salaries may vary based on the company's size and industry, with higher pay often associated with advanced skills in cloud services and AI tools.

Can a From Home Azure Ai Engineer do work from home?

Yes, a From Home Azure AI Engineer can typically perform their duties remotely, utilizing cloud-based tools and platforms to develop and deploy AI solutions. Many companies offer remote positions for this role, requiring skills in Azure services, programming, and communication tools to collaborate effectively from home.
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From Home Azure Ai Engineer jobs near you
Infographic showing various From Home Azure Ai Engineer job openings in the United States as of August 2026, with employment types broken down into 2% As Needed, 70% Full Time, 24% Part Time, and 4% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $101,752 per year, or $48.9 per hour.

AI Engineer

GEI Consultants

Atlanta, GA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 24 days ago

GEI Consultants rating

7.6

Company rating: 7.6 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

281st of 449 rated engineering

Job description

Description
Your role at GEI.
The AI Engineer is responsible for the development of AI solutions, typically leveraging pretrained models and copilots, to support GEI's priority digital and AI initiatives. This role focuses on building, deploying, and integrating AI capabilities into business workflows in a secure, scalable, and maintainable manner.
The AI Engineer plays a hands-on role in active AI Solutions Factory use cases by implementing AI-based solutions, integrating enterprise data sources, and supporting solution reliability and performance. This role works closely with solution architects and platform teams to ensure AI solutions are production-ready, aligned with GEI standards, and capable of scaling across use cases.
Essential Responsibilities & Duties
  • Build and deploy AI-based solutions using pretrained models and Copilot technologies.
  • Design and implement prompt flows, plugins, and orchestrations using Copilot Studio and Azure Functions.
  • Integrate AI capabilities into business workflows and applications.
  • Integrate enterprise data sources securely, including APIs, Graph connectors, retrieval-augmented generation (RAG), and event-driven patterns.
  • Maintain and optimize Power BI dashboards that support AI-enabled workflows and insights.
  • Instrument AI solutions for telemetry, reliability, performance monitoring, and cost control.
  • Provide technical support and troubleshooting for deployed AI solutions.
  • Identify implementation risks and support mitigation strategies in collaboration with architecture and platform teams.

Minimum Qualifications
  • 4+ years of software engineering experience, with at least 1 year building Generative AI applications.
  • Experience with Generative AI Large Language Models (LLMs), including solution development and fine-tuning for domain-specific tasks.
  • Proficiency in at least one programming language such as Python, PySpark, R, or SQL.
  • Experience delivering Generative AI (LLM) solutions, preferably on Azure.
  • Familiarity with Azure AI library APIs, including GPT, Codex, and DALL• E, and other frameworks (e.g., Databricks Mosaic) for integrating Generative AI into business workflows.
  • Knowledge of big data technologies such as Spark and Databricks; familiarity with TensorFlow and PyTorch is a plus.
  • Knowledge of Azure cloud services, including Azure AI Platform, Azure Data Factory, Azure Synapse, and Azure Cognitive Services, and their integration with ML workflows.
  • Familiarity with AI ethics, bias mitigation, explainability techniques, and responsible AI practices.
  • Knowledge of security best practices for AI solutions, including data encryption, access control, and endpoint protection.
  • Prior experience implementing AI/ML solutions in professional services, engineering, or construction environments is a plus.
  • Azure or Databricks certifications (e.g., Azure AI Engineer Associate, Azure Solutions Architect Expert, Databricks ML Professional, Databricks Data Engineer Professional) are a plus.

We are GEI.
Some of the world's most pressing problems - from climate change to sustainable development, to critical infrastructure and the future of our energy supply - need our brightest and diverse minds working together to create safer, more resilient communities for tomorrow.
We are technical experts, collaborators, and entrepreneurs who draw from diverse backgrounds to solve our clients' most complex challenges.
With several offices across North America, we offer a range of engineering, science, and technical consulting services. Our range of expertise, project types, and culture make us the choice for top talent in the AEC industry. See all our office locations here .
Employee-owned. Employee-focused.
As an employee-owned company, our employees support our flat leadership structure, have a say in how our business operates and benefit from our financial success. We are committed to employee growth with career development opportunities, competitive total rewards, a well-being program, flexible work arrangements and more. Our company culture is driven by our 4 Cs - we are Client-Centered, Curious, Collaborative, and Community Minded - which support our focus on sustainability, safety, diversity, equity and inclusion. Get to know us better by visiting GEI's career site here .
GEI's Total Rewards Package Includes
  • Market-Competitive Compensation, including Eligibility for an Annual Performance Bonus
  • Pay Range For This Position: $110,000.00- $150,000.00/year
  • Comprehensive Benefits Program, including Medical, Dental, Vision, Life, Disability and More
  • Well-Being Program and Paid Parental Leave
  • Commuter Benefits
  • Hybrid Work Schedules and Cell Phone Stipends
  • GEI University (GEIU) with Continuing Education Assistance and Tuition Reimbursement
  • Connecting Conversation Program with a Focus on Professional Development and Opportunities for Advancement
  • Support and Financial Rewards for Publication Awards, Professional Dues, and Professional Licenses
  • Paid Holidays and Generous Paid Time Off Program
  • Rewards and Recognition
  • GEI-Funded Profit Sharing and 401(k)
  • Opportunity to be an Owner and Shareholder (Learn more here )
  • A Vibrant Culture that is Focused on Partnership, Sustainability, Giving Back to Our Communities and Diversity, Equity and Inclusion
  • And More...

PHYSICAL REQUIREMENTS
WORK ENVIRONMENT
Functional Demands:
Sedentary
x
Light
Medium
Other
Activity Level Throughout Workday (check one per row)
Physical Activity Requirements
Occasional
(0-35% of day)
Frequent
(33-66% of day)
Continuous
(67-100% of day)
Not Applicable
Sitting
x
Standing
x
Walking
x
Climbing
x
Lifting (floor to waist level) (in pounds)
x
Lifting (waist level and above) (in pounds)
x
Carrying objects
x
Push/pull
x
Twisting
x
Bending
x
Reaching forward
x
Reaching overhead
x
Squat/kneel/crawl
x
Wrist position deviation
x
Pinching/fine motor skills
x
Keyboard use/repetitive motion
x
Taste or smell (taste=never)
x
Talk or hear
x
Accurate 20/40
Very Accurate 20/20
Not Applicable
Near Vision
x
Far Vision
x
Yes
No
Not Applicable
Color Discrimination
Sensory Requirements
Minimal
Moderate
Accurate
Not Applicable
Depth perception
x
Hearing
x
Environment Requirements
Occupational Exposure Risk Potential
Reasonably Anticipated
Not Anticipated
Blood borne pathogens
x
Chemical
x
Airborne communicable diseases
x
Extreme temperatures
x
Radiation
x
Uneven surfaces or elevations
x
Extreme noise levels
x
Dust/particulate matter
x
Other (exposure risks):
Usual workday hours :
x
8
10
12
Other work hours
GEI is an AA/equal opportunity employer, including disabled and veterans.

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