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Junior Azure Ai Engineer Jobs in Indiana (NOW HIRING)

The AI Engineer is Lasting Change's first dedicated AI role, joining an established Data ... Microsoft Fabric, Azure AI Foundry, or equivalent best-in-class tooling strongly preferred.

Description The AI Engineer is Lasting Change's first dedicated AI role, joining an established ... Microsoft Fabric, Azure AI Foundry, or equivalent best-in-class tooling strongly preferred.

AI Engineer

Carmel, IN · On-site

$152K - $177K/yr

MISO is hiring an AI Engineer to build innovative AI-powered solutions that directly influence how ... Experience integrating AI/LLM tools such as OpenAI, Azure OpenAI, or Anthropic APIs into ...

Principal AI Engineer

Carmel, IN · On-site

$168K - $193K/yr

We're looking for a Principal AI Engineer who is passionate about pushing boundaries with machine ... Azure Data Factory & Azure Machine Learning Studio * MLflow and model lifecycle management * OpenAI ...

... 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 ...

Senior AI Engineer

Indianapolis, IN · On-site +1

$99K - $137K/yr

Senior AI Engineer 1 mentors junior engineers, supports cross-team collaboration, and contributes ... Advanced hands-on experience with AWS, Azure, or Google Cloud; strong containerization expertise ...

Senior AI Engineer

South Bend, IN · On-site +1

$102K - $140K/yr

Senior AI Engineer 1 mentors junior engineers, supports cross-team collaboration, and contributes ... Advanced hands-on experience with AWS, Azure, or Google Cloud; strong containerization expertise ...

Gen AI Engineer Gen AI Engineer Location: This role requires associates to be in-office 1 - 2 days ... Advanced cloud infrastructure (AWS EKS/ECS, GCP GKE, Azure AKS) knowledge. * Containerization ...

Gen AI Engineer Location: This role requires associates to be in-office 1 - 2 days per week ... Advanced cloud infrastructure (AWS EKS/ECS, GCP GKE, Azure AKS) knowledge. * Containerization ...

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 ...

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Junior Azure Ai Engineer information

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 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 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 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 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:
What are popular job titles related to Junior Azure Ai Engineer jobs in Indiana? For Junior Azure Ai Engineer jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Junior Azure Ai Engineer jobs in Indiana look for? The top searched job categories for Junior Azure Ai Engineer jobs in Indiana are:
What cities in Indiana are hiring for Junior Azure Ai Engineer jobs? Cities in Indiana with the most Junior Azure Ai Engineer job openings:
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.

Security Architect - AI AppSec

SOVEREIGN CARE SERVICES

Brownsburg, IN • On-site

$90 - $100/hr

Full-time

Retirement

Re-posted 12 days ago


Job description

Benefits:
  • 401(k)
  • Employee discounts
  • Opportunity for advancement

 Benefits/Perks
  • Flexible Work Environment
  • Competitive Compensation
  • Career Advancement Opportunities
Job Summary
We are currently seeking an experienced Security Architect/AI Security AppSec to join our team! As a Security Architect, you will focus on assisting with the strategic evaluation and secure implementiation of our AI Agent Framework. As AI adoption accelerates across our investment and research teams, this role will be pivotal in ensuring our systems remain secur, resilient, and compliant, You will combine high-level architectural oversight--specifically evaluating new and emerging AI Technologies-- with hands on engineering. 
 
Reporting to the Director of Security in Global Security organization, you will research security controls, validate emerging architectural patterns and define the governance standards for M365 Copilot Agents and autonomus agents built on Azure AI Foundary . 
Responsibilities 
  • Proactively evaluate new AI tools, frameworks, and LLM providers to assess their security posture and suitability for a highly regulated investment environement
  • Design and validate secure architectural patters for AI agent integration within the organization's ecosystemm ensuring data privacy and IP protection
  • Conduct deep-dive analysis of AI specific threats (prompt injection, model inversion, data poisoning) and architect systemic mitigations
  • Evaluate the security capabilities of Azure AI Foundary, M365 Copilot Studio, and the Microsoft Graph API against the organization's compliance standards
  • Assess Model Context Protocol (MCP) security best practices, designing isolationstrategies for context managment
  • As a Security architect, assist with evaluations of other technologies being evaluated with our Enterprise Architecture Review Board
  • 5+ years in Cloud Security/Architecture with deep hands-on Azure platform experience. 
  • Hands-on experience with Azure AI Services, Azure OpenAI, Azure AI Foundary (or similar platforms like AWS SageMaker)
  • Expert-level understanding of Microsoft Entra ID, Service Principals, and Managed Identity in a complex enterprise environment 
  • Deep familiarity with Model Context Protocol (MCP) and its implecations for data isolation and session security
  • Strong grasp of RAG (Retrieal-Augmented Generation) pattersand vector database security. 
  • Zero Trust: Proven track record of implementing Zero Trust in financial services or cloud-native environments 
  • Experience with Infrastructure as Code (Terraform, Bicep) to codify security guardrails 
  • Familiarity with the OWASP Top 10 for LLMs and AI-specific vulnerability scanning. 
Qualifications
  • Certifications: Azure Security Engineer Associate, Azure AI Engineer Associate, or CISSP/CCSP