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Part Time Azure Ai Jobs (NOW HIRING)

Booz Allen Hamilton, Inc.

Agentic AI Engineer

Mclean, VA · On-site

$112.80K - $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 ...

EōS Fitness

Associate AI Solutions Analyst

Phoenix, AZ · On-site

$60K - $70K/yr

Exposure to enterprise AI platforms such as Microsoft Azure OpenAI Service, Google Cloud Vertex AI ... Based on eligibility of tenure and full-time vs. part-time employment. EōS Fitness is an Equal ...

Booz Allen Hamilton, Inc.

AI & ML Engineer

Mclean, VA · On-site

$112.80K - $257K/yr

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

Booz Allen Hamilton, Inc.

AI/ML Software Engineer

Rome, NY · On-site

$86.80K - $198K/yr

Experience with cloud or on-prem secure compute environments, such as AWS, Azure, GCP, or high-side ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

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Part Time Azure Ai information

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How much do part time azure ai jobs pay per hour?

As of May 31, 2026, the average hourly pay for part time azure ai in the United States is $58.40, according to ZipRecruiter salary data. Most workers in this role earn between $52.88 and $65.62 per hour, depending on experience, location, and employer.

What is the difference between Part Time Azure Ai vs Part Time Data Analyst?

AspectPart Time Azure AiPart Time Data Analyst
Required CredentialsAzure certifications, basic programming skillsData analysis certifications, SQL, Excel skills
Work EnvironmentCloud platforms, tech teams, remote or onsiteBusiness environments, reporting teams, remote or onsite
Industry UsageTech, cloud services, AI developmentFinance, marketing, healthcare, business intelligence
Common Search IntentAzure AI projects, cloud AI rolesData analysis tasks, reporting, insights

Part Time Azure Ai professionals focus on developing and managing AI solutions using Azure cloud services, requiring cloud certifications and programming skills. In contrast, Part Time Data Analysts interpret data to generate reports and insights, often needing data analysis certifications and proficiency in SQL and Excel. While both roles may work remotely and in similar industries, their core responsibilities and skill sets differ significantly.

More about Part Time Azure Ai jobs
What cities are hiring for Part Time Azure Ai jobs? Cities with the most Part Time Azure Ai job openings:
What are the most commonly searched types of Azure Ai jobs? The most popular types of Azure Ai jobs are:
What states have the most Part Time Azure Ai jobs? States with the most job openings for Part Time Azure Ai jobs include:
What job categories do people searching Part Time Azure Ai jobs look for? The top searched job categories for Part Time Azure Ai jobs are:
Part Time Azure Ai jobs near you
Infographic showing various Part Time Azure Ai job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 58% Full Time, and 41% Part Time. Highlights an 21% Physical, 15% Hybrid, and 64% Remote job distribution, with an average salary of $121,476 per year, or $58.4 per hour.
Rackner AI Innovation Fellowship (Startup Accelerator Internship)

Rackner AI Innovation Fellowship (Startup Accelerator Internship)

Rackner

College Park, MD • On-site

Full-time, Part-time, Internship

Posted 24 days ago

Job description

Title: Rackner AI Innovation Fellowship (Startup Accelerator Internship)
Location: College Park (Hybrid - ~50% Minimum In-Person)
Who We Are
Rackner is a cloud-native software consultancy delivering innovative solutions for startups, enterprises, and the public sector. We are a fast-growing, mission-driven organization focused on solving complex challenges through cutting-edge technologies.
Our expertise spans end-to-end application development, DevSecOps, AI/ML, and systems architecture, with a strong emphasis on cloud-first and cost-effective innovation. We partner with organizations ranging from early-stage startups to large federal agencies, enabling digital transformation and delivering high-impact, scalable solutions.
Position Overview
The Rackner AI Innovation Fellowship is a hands-on research and development program designed to explore and build next-generation solutions using artificial intelligence, cloud computing, and emerging technologies.
This fellowship offers a unique opportunity for students and early-career technologists to work in a startup-like environment while gaining real-world experience developing impactful solutions aligned with Rackner's mission.
The program runs year-round, with:
  • Part-time participation during the academic year
  • Full-time engagement during the summer

Fellows will work in collaborative teams (ideally groups of 2-3 participants) to take ideas from concept to prototype, focusing on real-world applications, scalability, and measurable impact. Teams that already have strong working relationships are encouraged to apply together.
Each team will receive funding for cloud infrastructure and AI tools to support development. At the conclusion of the program, teams will present their solutions, findings, and working prototypes to Rackner leadership.
Key Responsibilities
  • Collaborate in small teams to design, develop, and prototype innovative AI/ML and cloud-based solutions
  • Conduct research on emerging technologies, including LLMs, cloud platforms, and cybersecurity frameworks
  • Build and deploy applications using modern cloud platforms (AWS, Azure, or GCP)
  • Develop proof-of-concept solutions with measurable impact
  • Apply software engineering best practices (version control, testing, documentation)
  • Analyze technical feasibility and potential business value of solutions
  • Present findings, demos, and final prototypes to leadership
  • Manage project timelines and contribute to team-based innovation

Focus Areas
  • Large Language Models (LLMs) and AI-enabled applications
  • Cloud-native development and distributed systems
  • Cybersecurity and secure system design
  • B2B platforms and enterprise solutions
  • Government and public sector technology

Qualifications (Required)
  • Must reside in a HUBZone
    (Verify eligibility: https://maps.certify.sba.gov/hubzone/map)
  • Ability to participate in a hybrid model (~50% in-person in College Park)
  • Currently enrolled student or recent graduate in a relevant field

Preferred Qualifications
  • Background in Computer Science, Software Engineering, Data Science, or Business
  • Strong preference for candidates with software development experience
  • Experience with programming languages such as Python, JavaScript, or Java
  • Familiarity with AI/ML tools (TensorFlow, PyTorch, HuggingFace)
  • Knowledge of cloud platforms (AWS, Azure, GCP)
  • Understanding of APIs, microservices, or distributed systems

Candidate Profile (What We're Looking For)
  • HUBZone candidates strongly encouraged to apply
    (Goal: Build a cohort of at least 9 HUBZone participants, including current interns)
  • Team-oriented applicants
    • Preference for candidates applying in teams of 2-3
    • Teams with prior working relationships or strong collaboration experience are highly encouraged
  • Balanced technical + business mindset
    • Ideal team composition:2 technical (software-focused) + 1 business-oriented member
    • Candidates with business, product, or entrepreneurial experience are a plus
  • High energy and motivation
    • Demonstrated strong work ethic
    • Passion for innovation, problem-solving, and building new solutions
    • Ability to thrive in fast-paced, ambiguous, startup-like environments

Startup Accelerator Opportunity
Participants will have the opportunity to convert their project into a startup by buying back their intellectual property (IP) in exchange for equity, creating a direct pathway from fellowship to entrepreneurship.
Additional Benefits
  • Industry-leading weekly pay schedule
  • Hybrid work environment with strong in-person collaboration
  • Access to cutting-edge AI tools and cloud resources
  • Professional development and certification support
  • Opportunity to build real-world portfolio projects
  • Exposure to startup and enterprise innovation
  • Home office support

Why Join Rackner?
This fellowship is more than an internship, it's an opportunity to innovate, build, and potentially launch your own venture while working on impactful technologies that support both commercial and federal missions.

Apply