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Assistant Azure Ai Engineer Jobs (NOW HIRING)

AI Engineer

Wakefield, MA · On-site

$110K - $150K/yr

The AI Engineer is responsible for the development of AI solutions, typically leveraging pretrained ... Familiarity with Azure AI library APIs, including GPT, Codex, and DALL • E, and other frameworks ...

AI Engineer

Denver, CO · On-site

$110K - $150K/yr

The AI Engineer is responsible for the development of AI solutions, typically leveraging pretrained ... Familiarity with Azure AI library APIs, including GPT, Codex, and DALL · E, and other frameworks ...

AI Engineer

Pasadena, CA · On-site

$110K - $150K/yr

The AI Engineer is responsible for the development of AI solutions, typically leveraging pretrained ... Familiarity with Azure AI library APIs, including GPT, Codex, and DALL · E, and other frameworks ...

The AI Engineer is responsible for the development of AI solutions, typically leveraging pretrained ... Familiarity with Azure AI library APIs, including GPT, Codex, and DALL • E, and other frameworks ...

AI Engineer

Dallas, TX · On-site

$110K - $150K/yr

The AI Engineer is responsible for the development of AI solutions, typically leveraging pretrained ... Familiarity with Azure AI library APIs, including GPT, Codex, and DALL · E, and other frameworks ...

The AI Engineer is responsible for the development of AI solutions, typically leveraging pretrained ... Familiarity with Azure AI library APIs, including GPT, Codex, and DALL • E, and other frameworks ...

The AI Engineer is responsible for the development of AI solutions, typically leveraging pretrained ... Familiarity with Azure AI library APIs, including GPT, Codex, and DALL • E, and other frameworks ...

AI Engineer

Manhattan, NY · On-site

$110K - $150K/yr

The AI Engineer is responsible for the development of AI solutions, typically leveraging pretrained ... Familiarity with Azure AI library APIs, including GPT, Codex, and DALL · E, and other frameworks ...

AI Engineer

Cary, NC · On-site

$110K - $150K/yr

The AI Engineer is responsible for the development of AI solutions, typically leveraging pretrained ... Familiarity with Azure AI library APIs, including GPT, Codex, and DALL · E, and other frameworks ...

Azure .NET Architect

San Francisco, CA · On-site

$74.75 - $97.50/hr

Work closely with AI engineering, data science, and security teams to optimize Azure cloud solutions. * Experience: 12-15 years in designing, developing, and supporting enterprise-grade SaaS products ...

Experience with vector databases such as Pinecone, Azure AI Search, Weaviate, Milvus, or similar * Knowledge of embeddings, prompt engineering, semantic search, and LLM evaluation * Experience with ...

NC · On-site

$96K - $127K/yr

The Lead AI Engineer provides dedicated leadership for AI engineering, sitting between data ... Own the AI platform built on Microsoft Foundry (Azure AI Foundry): model-catalog selection (OpenAI ...

.Net Azure Architect

San Francisco, CA · On-site

$74.75 - $97.50/hr

Work closely with AI engineering, data science, and security teams to optimize Azure cloud solutions. Required Qualifications: * Experience: 12-15 years in designing, developing, and supporting ...

Azure AI Data Architect

Saint Louis, MO · On-site

$59.50 - $77.50/hr

Our team of strategists, designers, technologists, and engineers partners with the world's most ... You will provide best-fit architectural solutions for one or more projects; you will assist in ...

Azure AI Architect with M365

Moline, IL · On-site

$57.25 - $74.75/hr

Implement prompt engineering, fine-tuning , and retrieval mechanisms for improved AI performance * Design vector-based search architectures using Azure Cognitive Search and vector databases Cloud ...

Azure AI Applications Engineer We are seeking an Azure AI Applications Engineer to join our growing team at Lantern, where you will lead the development of intelligent applications that harness the ...

Showing results 41-60

Assistant Azure Ai Engineer information

See salary details

$33K

$88.8K

$134.5K

How much do assistant azure ai engineer jobs pay per year?

As of Sep 11, 2026, the average yearly pay for assistant azure ai engineer in the United States is $88,754.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,500.00 and $104,500.00 per year, depending on experience, location, and employer.

What does an Assistant Azure AI Engineer do?

An Assistant Azure AI Engineer supports the design, development, and deployment of artificial intelligence solutions using Microsoft Azure's cloud platform. They assist more senior engineers in building, testing, and maintaining AI models and services, such as natural language processing, computer vision, and machine learning. Common tasks include preparing data, configuring Azure AI services, integrating models into applications, and monitoring their performance. This role often involves collaboration with data scientists, developers, and IT teams to ensure AI solutions meet business needs and operate efficiently.

What are the key skills and qualifications needed to thrive as an Assistant Azure AI Engineer?

To thrive as an Assistant Azure AI Engineer, you need a solid background in computer science, proficiency in programming languages like Python, and a foundational understanding of machine learning concepts, often supported by a relevant degree or certification. Familiarity with Microsoft Azure AI tools, such as Azure Machine Learning, Cognitive Services, and DevOps pipelines, is typically required. Strong problem-solving abilities, effective communication, and a willingness to learn new technologies help candidates excel in this evolving field. These skills and qualities are crucial for building scalable AI solutions and collaborating effectively within diverse technical teams.

What types of projects and collaboration can an Assistant Azure AI Engineer expect in their first year?

As an Assistant Azure AI Engineer, you’ll typically start by working on smaller components of larger AI projects, such as developing, testing, or deploying machine learning models using Azure’s tools. You’ll frequently collaborate with data scientists, software developers, and cloud architects to integrate AI solutions into existing systems. Expect to participate in team meetings, code reviews, and brainstorming sessions to solve real-world business challenges. Over time, you may take on more complex tasks and gain exposure to end-to-end project workflows, setting a solid foundation for career growth.

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

AspectAssistant Azure Ai EngineerData Scientist
Required CredentialsAzure certifications, basic programming skillsStatistics, data analysis, programming (Python/R)
Work EnvironmentCloud platforms, AI development teamsData analysis, research, modeling
Industry UsageAI solutions, cloud servicesData analysis, predictive modeling

The Assistant Azure Ai Engineer primarily focuses on developing and deploying AI solutions within Azure cloud environments, often working with AI tools and services. In contrast, Data Scientists analyze data, build models, and generate insights, often using statistical and programming skills. While both roles involve data and AI, the Assistant Azure Ai Engineer emphasizes cloud-based AI deployment, whereas Data Scientists focus on data analysis and modeling.

What cities are hiring for Assistant Azure Ai Engineer jobs?

Cities with the most Assistant Azure Ai Engineer job openings:

What are the most commonly searched types of Azure Ai Engineer jobs?

The most popular types of Azure Ai Engineer jobs are:

What states have the most Assistant Azure Ai Engineer jobs?

States with the most job openings for Assistant Azure Ai Engineer jobs include:

What are popular job titles related to Assistant Azure Ai Engineer jobs?

For Assistant Azure Ai Engineer jobs, the most frequently searched job titles are:

AI Engineer

Wakefield, MA • On-site

GEI Consultants
Civil Engineering Construction • 1 - 5K employees

$110K - $150K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 20 days ago


Key responsibilities

  • Build and deploy AI-based solutions using pretrained models and Copilot technologies.

  • Integrate AI capabilities into business workflows and applications, including enterprise data sources.

  • Support solution reliability, performance monitoring, and troubleshooting of deployed AI solutions.


GEI Consultants rating

7.6

Company rating: 7.6 out of 10

Based on 7 frontline employees who took The Breakroom Quiz


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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