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Part Time Azure Ai Engineer Jobs (NOW HIRING)

Booz Allen Hamilton, Inc.

AI Engineer

Reston, VA · On-site

$99K - $225K/yr

Experience working with AWS, Azure, or GCP cloud platforms and containerization technologies such ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

AI Engineer

Reston, VA · On-site

$99K - $225K/yr

Experience working with AWS, Azure, or GCP cloud platforms and containerization technologies such ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Black Box

AI Engineer Intern - USA

Plano, TX · On-site

Working closely with experienced AI engineers, you will contribute to real-world AI use cases integrated with platforms such as ServiceNow, SAP, Salesforce, and Azure services . This internship is ...

Booz Allen Hamilton, Inc.

AI Engineer

Reston, VA · On-site

$99K - $225K/yr

Experience working with AWS, Azure, or GCP cloud platforms and containerization technologies, such ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton

AI Engineer

Fort Belvoir, VA · On-site

$99K - $225K/yr

Experience working with AWS, Azure, or GCP cloud platforms and containerization technologies, such ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

AI Engineer

Arlington, VA · On-site

$77K - $176K/yr

Experience with cloud platforms including AWS, Azure, or GCP and their AI or ML services ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Stantec

Generative AI Developer

Phoenix, AZ · On-site

$104K - $152K/yr

Experience deploying AI/GenAI solutions in Azure environments, including familiarity with Azure AI ... Regular full-time and part-time employees (working at least 20 hours per week) have access to ...

Stantec

Generative AI Developer

Denver, CO · On-site

$104K - $152K/yr

Experience deploying AI/GenAI solutions in Azure environments, including familiarity with Azure AI ... Regular full-time and part-time employees (working at least 20 hours per week) have access to ...

Stantec

Generative AI Developer

Austin, TX · On-site

$104K - $152K/yr

Experience deploying AI/GenAI solutions in Azure environments, including familiarity with Azure AI ... Regular full-time and part-time employees (working at least 20 hours per week) have access to ...

Booz Allen Hamilton, Inc.

Agentic AI Engineer

Mclean, VA · On-site

$112K - $257K/yr

... AWS and Azure, evaluating architectural tradeoffs, designing robust service-based software ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

TEGNA

AI Engineer

Mclean, VA · On-site +1

AI Engineer Tysons, Virginia, United States About TEGNA TEGNA Inc. helps people thrive in their ... Our 401(k) program offers full, part-time and temporary employees the opportunity to contribute ...

New

Black Box Corporation

AI Intern - Dallas, TX

Plano, TX · On-site

Working closely with experienced AI engineers, you will contribute to real-world AI use cases integrated with platforms such as ServiceNow, SAP, Salesforce, and Azure services . This internship is ...

Black Box

AI Intern - Dallas, TX

Plano, TX · On-site

Working closely with experienced AI engineers, you will contribute to real-world AI use cases integrated with platforms such as ServiceNow, SAP, Salesforce, and Azure services . This internship is ...

Booz Allen Hamilton, Inc.

AI Engineer

Bethesda, MD · On-site

$77K - $176K/yr

Bethesda, Maryland, USA AI Engineer The Opportunity: Design and implement effective AI solution ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

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All JobsPart Time Azure Ai Engineer Jobs

Part Time Azure Ai Engineer information

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$39K

$101.8K

$137.5K

How much do part time azure ai engineer jobs pay per year?

As of Jun 6, 2026, the average yearly pay for part time 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 Part Time Azure Ai Engineer vs Part Time Data Scientist?

AspectPart Time Azure Ai EngineerPart Time Data Scientist
Required CredentialsAzure certifications, programming skills (Python, SQL)Statistics, data analysis, programming (Python, R)
Work EnvironmentCloud platforms, AI model deployment, software developmentData analysis, modeling, research
Employer & Industry UsageTech companies, cloud service providers, AI-focused firmsResearch institutions, analytics firms, tech companies

Both roles often require programming skills and familiarity with cloud or data analysis tools. An Azure Ai Engineer focuses on deploying AI solutions on Azure cloud, while a Data Scientist emphasizes analyzing data and building models. The choice depends on whether you prefer cloud-based AI deployment or data analysis and research.

More about Part Time Azure Ai Engineer jobs
What cities are hiring for Part Time Azure Ai Engineer jobs? Cities with the most Part Time 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 Part Time Azure Ai Engineer jobs? States with the most job openings for Part Time Azure Ai Engineer jobs include:
What job categories do people searching Part Time Azure Ai Engineer jobs look for? The top searched job categories for Part Time Azure Ai Engineer jobs are:
Part Time Azure Ai Engineer jobs near you
Infographic showing various Part Time Azure Ai Engineer job openings in the United States as of May 2026, with employment types broken down into 3% Locum Tenens, 6% As Needed, 60% Full Time, 22% Part Time, and 9% Contract. Highlights an 78% Physical, 8% Hybrid, and 14% Remote job distribution, with an average salary of $101,752 per year, or $48.9 per hour.
Lead Instructor: Agentic AI Engineering

Lead Instructor: Agentic AI Engineering

General Assembly

Remote

$11K - $15K/wk

Full-time, Part-time

Posted 5 days ago

Job description

Since 2011, General Assembly has transformed tens of thousands of careers through pioneering, experiential education in today's most in-demand skills. As featured in The Economist, Wired, and The New York Times, GA offers training in web development, data, design, business, and more, both online and at campuses around the world. Our global professional community boasts 60,000 full- and part-time alumni - and counting. In addition to fostering career growth for individuals, GA helps employers cultivate top tech talent and spur innovation by transforming their teams through strategic learning. More than 21,000 employees at elite companies worldwide have honed their digital fluency with our upskilling and reskilling initiatives. GA has also been recognized as one of Deloitte's Technology Fast 500, and Fast Company has dubbed us leaders in World-Changing Ideas as well as the #1 Most Innovative Company in Education.
GA is at the leading edge of creating practical solutions to one of the most pressing challenges of our time - the future of work. As recognized by The World Economic Forum, BCG, the OECD and more, these are big challenges to which only a few companies are offering real solutions. In this role, you'll be speaking every day to corporate leaders who rely on GA to help them apply these solutions to their workforce of the future.
Job Title: Lead Instructor: Agentic AI Engineering
Company: General Assembly
Client: Confidential - Customer Success Reskilling
Location: Remote (Must work West Coast / Pacific Time hours)
Duration: 2 Weeks (Starting Mid-June)
Commitment: Roughly 30 hours per week
Compensation: $11,500 - $15,500 (Estimated lump sum payment for one 60-hour program)
About the Engagement
General Assembly is delivering an intensive reskilling program designed to transition experienced Customer Success and Account Management (CSAM) professionals into technical roles focused on Agentic AI Engineering.
As the Lead Instructor, you will lead the charge in teaching students how to design and build sophisticated multi-agent systems. You will move beyond theory to help learners master tool use, memory, and long-horizon planning. This is a high-impact, 2-week "sprint" where you will be the primary technical guide for a cohort of professionals entering the world of autonomous AI orchestration.
What You'll Do
  • Lead Live Technical Instruction: Deliver synchronous remote lectures and "build-along" sessions focused on designing agentic systems within Azure AI Foundry, Copilot Studio, and Semantic Kernel.
  • Facilitate Complex Labs: Guide students through hands-on exercises involving agent design patterns, multi-agent orchestration, and API integration.
  • Code Mentorship: Provide real-time troubleshooting and debugging support in Python as students build out their labs and capstone projects.
  • Translate Architecture: Break down complex systems-thinking and architecture concepts-such as memory management and planning in LLMs-into actionable steps for non-engineering professionals.
  • Office Hours & Feedback: Hold dedicated sessions to review student builds, ensuring their agentic systems are robust, scalable, and technically sound.
What You Bring
  • The Expertise: 7+ years in software engineering, with at least 2+ years of hands-on experience building and deploying agentic AI systems in a production environment.
  • The Tech Stack: Deep proficiency in Azure AI Foundry, Copilot Studio, and Semantic Kernel. (Experience with LangChain or LangGraph is highly valued as an adjacent skill set).
  • Core Skills: Expert-level Python proficiency, API design, and advanced prompt engineering. You should have a deep understanding of agent design patterns (tool use, planning, and orchestration).
  • Instructional Presence: Proven experience teaching technical topics or leading engineering teams. You must be comfortable engaging a remote audience and managing a fast-paced learning environment.
  • The Credentials: AZ-900 and AI-900 are required; AI-102 is strongly preferred.
  • Preferred Background: Experience as an AI Engineer or Azure Solution Architect at Microsoft, Google, or a similar Tier-1 tech firm is a major plus.

Note on Schedule: This is a 2-week, high-intensity engagement starting in mid-June. The instructor must be available for 30 hours per week and must be able to work during West Coast (Pacific Time) business hours to support the learner cohort.
Unless otherwise noted, remote positions can be performed from the following approved General Assembly operating countries.
United States of America (states of operation may vary), Canada (provinces of operation may vary), United Kingdom, Australia, and Singapore.

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