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Junior Azure Ai Engineer Jobs in Indiana (NOW HIRING)

Deloitte

AI Engineer Consultant

Indianapolis, IN · Hybrid

... on AWS/Azure/GCP (one or more), including managed data platforms and scalable compute patterns ... We are hiring an AI Engineer to build and operate the data, features, and GenAI foundations that ...

V2X

Principal Agentic AI Engineer (T5)

Indianapolis, IN · On-site

Ability to guide junior engineers, provide technical mentorship, and set engineering direction ... Experience deploying AI models on edge compute platforms or constrained environments * Familiarity ...

V2X

Principal Agentic AI Engineer (T5)

Indianapolis, IN · On-site

Ability to guide junior engineers, provide technical mentorship, and set engineering direction ... Experience deploying AI models on edge compute platforms or constrained environments * Familiarity ...

Deloitte

Senior AI Engineer - SFL Scientific

Indianapolis, IN · On-site

$99K - $137K/yr

Mentor, motivate, and coach junior members on technical best practices and inspire professional ... AWS/Azure Certifications (AWS/Azure Certified: SysOps Administrator, DevOps Engineer, Solutions ...

Pwc

US Tech - AI Engineering Manager

Indianapolis, IN

$73K - $244K/yr

Responsibilities - Mentor junior engineers and foster their growth - Maintain security and ... with Azure, DevOps, and enterprise integration patterns - Bringing systems thinking to design end ...

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Junior Azure Ai Engineer information

What is a Junior Azure AI Engineer?

A Junior Azure AI Engineer is an entry-level professional who helps design, build, and deploy artificial intelligence solutions using Microsoft Azure’s cloud platform. Their responsibilities typically include assisting with data preparation, developing AI models, integrating AI services into applications, and maintaining cloud-based AI resources. They often work under the supervision of senior engineers and collaborate with data scientists, developers, and IT teams. This role is ideal for individuals with foundational knowledge of AI concepts and some experience with Azure tools and services.

What are the key skills and qualifications needed to thrive as a Junior Azure AI Engineer?

To thrive as a Junior Azure AI Engineer, you need a foundational understanding of machine learning concepts, Python programming, and a relevant degree in computer science or a related field. Familiarity with Microsoft Azure services such as Azure Machine Learning, Cognitive Services, and certifications like Azure AI Fundamentals are highly beneficial. Strong problem-solving abilities, eagerness to learn, and effective teamwork skills help you stand out in this role. These skills are essential for building, deploying, and maintaining AI solutions efficiently and collaboratively in a cloud-based environment.

What are some common challenges Junior Azure AI Engineers face when working on real-world projects?

Junior Azure AI Engineers often encounter challenges such as adapting to rapidly evolving AI tools and frameworks within the Azure ecosystem, understanding cloud security best practices, and balancing the demands of data privacy compliance. They may also face a learning curve when deploying machine learning models at scale or integrating them with other Azure services. Regular collaboration with data scientists, software developers, and DevOps teams is key to overcoming these challenges and ensuring smooth project delivery.

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

AspectJunior Azure Ai EngineerJunior Data Scientist
Required CredentialsAzure certifications, basic programming skillsStatistics, programming, data analysis certifications
Work EnvironmentCloud platforms, AI development teamsData analysis teams, research environments
Employer & Industry UsageTech companies, cloud service providersResearch institutions, analytics firms
Search & Comparison IntentUnderstanding roles in AI development on AzureComparing data science entry-level roles

The Junior Azure Ai Engineer focuses on developing AI solutions using Azure cloud services, while the Junior Data Scientist primarily analyzes data to extract insights. Both roles require programming skills and some certifications, but their work environments and industry applications differ. Understanding these distinctions helps job seekers identify the right career path in AI and data analytics.

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

The most popular types of Azure Ai Engineer jobs in Indiana are:

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For Junior Azure Ai Engineer jobs in Indiana, the most frequently searched job titles are:

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The top searched job categories for Junior Azure Ai Engineer jobs in Indiana are:

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Cities in Indiana with the most Junior Azure Ai Engineer job openings:

Junior Azure Ai Engineer jobs near you
Infographic showing various Junior Azure Ai Engineer job openings in Indiana as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Azure/Databricks Infrastructure Engineer

Deloitte

Indianapolis, IN • On-site

$53.25 - $71.25/hr

Full-time

Re-posted 10 days ago

Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 93 frontline employees who took The Breakroom Quiz

46th of 152 rated financial services

Job description

Join Deloitte's AI & Engineering practice and help organizations modernize enterprise cloud and data platforms on Azure. As an Azure/Databricks Infrastructure Engineer, you will design, implement, and optimize secure, scalable Azure and Databricks environments that support analytics, AI, and enterprise data transformation. This role combines cloud infrastructure engineering, platform delivery, and architecture execution to help clients accelerate modernization and improve operational performance.

This role supports enterprise clients across cloud modernization, data platform transformation, analytics enablement, and operational optimization initiatives.

Recruiting for this role ends on 09/01/2026.

Work You'll Do

As an Azure/Databricks Infrastructure Engineer III on the AI & Engineering team, you will be responsible for...

  • Designing, building, and supporting Azure cloud infrastructure and Databricks platform environments for enterprise clients
  • Implementing Azure landing zones, networking, security controls, and scalable cloud architecture solutions across development, test, and production environments
  • Configuring and administering Databricks workspaces, clusters, Unity Catalog, governance capabilities, and platform security controls
  • Developing infrastructure as code solutions using Terraform, Bicep, and ARM templates, and automating deployments through Azure DevOps or GitHub Actions
  • Supporting cloud modernization, analytics, AI, and enterprise data transformation initiatives through architecture reviews, technical workshops, and delivery collaboration
  • Participate in architecture reviews, technical workshops, client discussions, and operational planning sessions
The Team

Our AI & Engineering practice delivers enterprise solutions across cloud infrastructure, data platforms, analytics, AI enablement, and digital transformation initiatives. We help organizations modernize legacy environments, optimize cloud operations, and scale secure, intelligent platforms that drive business value.
In this role, you will work at the intersection of cloud infrastructure, platform engineering, analytics modernization, DevOps automation, and enterprise data transformation.

Qualifications

Required:
Bachelor's degree in Computer Science, Engineering, Information Systems, Analytics, or related field
4+ years of experience in Azure cloud infrastructure, platform engineering, or enterprise transformation delivery
Strong hands-on experience with Azure networking, Landing Zones, cloud architecture, and infrastructure deployment
Experience administering and supporting Databricks environments including Unity Catalog, governance, and cluster management
Experience implementing Infrastructure as Code (Terraform, Bicep, ARM)
Experience developing and supporting CI/CD pipelines using Azure DevOps or GitHub Actions
Strong understanding of cloud security, networking, governance, and enterprise platform operations
Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
Limited immigration sponsorship may be available.
Preferred:
Experience supporting enterprise analytics, ETL, Snowflake, or modern data engineering ecosystems
Experience supporting AI/ML or advanced analytics infrastructure environments
Azure and/or Databricks certifications preferred
Experience working across hybrid cloud or enterprise modernization initiatives
Consulting experience supporting large-scale transformation programs

Wages + Salary

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $116,200 to $229,100.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Qualifications:

Join Deloitte's AI & Engineering practice and help organizations modernize enterprise cloud and data platforms on Azure. As an Azure/Databricks Infrastructure Engineer, you will design, implement, and optimize secure, scalable Azure and Databricks environments that support analytics, AI, and enterprise data transformation. This role combines cloud infrastructure engineering, platform delivery, and architecture execution to help clients accelerate modernization and improve operational performance.

This role supports enterprise clients across cloud modernization, data platform transformation, analytics enablement, and operational optimization initiatives.

Recruiting for this role ends on 09/01/2026.

Work You'll Do

As an Azure/Databricks Infrastructure Engineer III on the AI & Engineering team, you will be responsible for...

  • Designing, building, and supporting Azure cloud infrastructure and Databricks platform environments for enterprise clients
  • Implementing Azure landing zones, networking, security controls, and scalable cloud architecture solutions across development, test, and production environments
  • Configuring and administering Databricks workspaces, clusters, Unity Catalog, governance capabilities, and platform security controls
  • Developing infrastructure as code solutions using Terraform, Bicep, and ARM templates, and automating deployments through Azure DevOps or GitHub Actions
  • Supporting cloud modernization, analytics, AI, and enterprise data transformation initiatives through architecture reviews, technical workshops, and delivery collaboration
  • Participate in architecture reviews, technical workshops, client discussions, and operational planning sessions
The Team

Our AI & Engineering practice delivers enterprise solutions across cloud infrastructure, data platforms, analytics, AI enablement, and digital transformation initiatives. We help organizations modernize legacy environments, optimize cloud operations, and scale secure, intelligent platforms that drive business value.
In this role, you will work at the intersection of cloud infrastructure, platform engineering, analytics modernization, DevOps automation, and enterprise data transformation.

Qualifications

Required:
Bachelor's degree in Computer Science, Engineering, Information Systems, Analytics, or related field
4+ years of experience in Azure cloud infrastructure, platform engineering, or enterprise transformation delivery
Strong hands-on experience with Azure networking, Landing Zones, cloud architecture, and infrastructure deployment
Experience administering and supporting Databricks environments including Unity Catalog, governance, and cluster management
Experience implementing Infrastructure as Code (Terraform, Bicep, ARM)
Experience developing and supporting CI/CD pipelines using Azure DevOps or GitHub Actions
Strong understanding of cloud security, networking, governance, and enterprise platform operations
Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
Limited immigration sponsorship may be available.
Preferred:
Experience supporting enterprise analytics, ETL, Snowflake, or modern data engineering ecosystems
Experience supporting AI/ML or advanced analytics infrastructure environments
Azure and/or Databricks certifications preferred
Experience working across hybrid cloud or enterprise modernization initiatives
Consulting experience supporting large-scale transformation programs

Wages + Salary

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $116,200 to $229,100.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Education:Bachelor's DegreeEmployment Type:

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