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Freelance Azure Ai Engineer Jobs in Indiana (NOW HIRING)

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.

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.

DDCS Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Create OCR-based document processing pipelines for scanned and handwritten PDFs using Azure AI ... Engineering Experience (5+ Years)

... s engineer to join their cloud infrastructure team as they continue migrating enterprise ... and Azure AI Foundry tooling Support the team's ongoing effort to migrate on-premises ...

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials - Building ...

... 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 ...

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Freelance Azure Ai Engineer information

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

AspectFreelance Azure Ai EngineerFreelance Data Scientist
Required CredentialsAzure certifications, AI/ML knowledgeStatistics, data analysis, programming skills
Work EnvironmentCloud platforms, AI development projectsData analysis, modeling, research
Employer & Industry UsageTech companies, cloud service providersResearch firms, finance, healthcare

While both roles involve working with data and AI, Freelance Azure Ai Engineers focus on deploying AI solutions on Azure cloud platforms, whereas Freelance Data Scientists analyze data to generate insights. The choice depends on whether you prefer cloud-based AI development or data analysis and modeling.

Can a Freelance Azure Ai Engineer do freelancing?

A Freelance Azure AI Engineer can work independently on projects related to cloud-based artificial intelligence solutions using Microsoft Azure. They typically need skills in AI, machine learning, and Azure services, and can set their own schedules and client base. Freelancing allows flexibility but requires self-management and technical expertise.

How much does a freelance Azure AI Engineer make?

Freelance Azure AI Engineers typically earn between $50 and $150 per hour, depending on experience, project complexity, and client budget. Experienced professionals with specialized skills in Azure AI services and certifications can command higher rates, often exceeding $100 per hour.

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 Freelance Azure Ai Engineer jobs in Indiana?

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

What job categories do people searching Freelance Azure Ai Engineer jobs in Indiana look for?

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

What cities in Indiana are hiring for Freelance Azure Ai Engineer jobs?

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

Infographic showing various Freelance Azure Ai Engineer job openings in Indiana as of August 2026, with employment types broken down into 75% Full Time, 20% Part Time, and 5% Contract. Highlights an 65% Physical, 5% Hybrid, and 30% Remote job distribution.

Security Architect - AI AppSec

Brownsburg, IN • On-site

SOVEREIGN CARE SERVICES
Home Health Care Services • 51 - 200 employees

$90 - $100/hr

Full-time

Retirement

Re-posted 3 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