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Senior Azure Ai Engineer Jobs in Indiana (NOW HIRING)

Lasting Change, Inc

AI Engineer

Fort Wayne, IN · On-site

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.

Lasting Change Inc

AI Engineer

Fort Wayne, IN · On-site

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.

PinnaclePartners

DevOps Engineer

Indianapolis, IN · On-site

... AI. Key Responsibilities: Build, deploy, and maintain CI/CD pipelines within an Azure-based ... Mid-to-senior level experience with Azure cloud, including building CI/CD pipelines and supporting ...

Coforge

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)

Pwc

AI Engineer

Indianapolis, IN · On-site

$50K - $112K/yr

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 ...

Alcoa

Azure Engineer (Flexible Location)

Newburgh, IN · On-site

$53 - $70.75/hr

The role also supports advanced workloads, including Generative AI (GenAI), by establishing ... Familiarity with Azure DevOps and CI/CD pipelines to support automated deployment and lifecycle ...

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Senior Azure Ai Engineer information

What is a senior Azure AI engineer?

A Senior Azure AI Engineer is an experienced professional who designs, develops, and deploys artificial intelligence solutions using Microsoft Azure's cloud-based services. They work with tools like Azure Machine Learning, Cognitive Services, and AI infrastructure to build applications that leverage machine learning, natural language processing, computer vision, and more. Their role often involves collaborating with data scientists, software engineers, and business stakeholders to deliver scalable, secure, and effective AI-powered solutions. In addition to technical implementation, Senior Azure AI Engineers typically mentor junior team members and contribute to best practices within their organization.

What are the key skills and qualifications needed to thrive as a senior Azure AI engineer?

To thrive as a Senior Azure AI Engineer, you need advanced expertise in machine learning, deep learning, and cloud computing, typically supported by a degree in computer science or a related field. Proficiency with Microsoft Azure AI services, Python or R programming, and certifications such as Microsoft Certified: Azure AI Engineer Associate are highly valued. Strong problem-solving, communication, and project management skills help drive innovation and lead cross-functional teams. These capabilities are essential for designing scalable AI solutions that meet business objectives and leverage the full potential of Azure’s platform.

How does a senior Azure AI engineer typically collaborate with data scientists and other engineering teams?

As a Senior Azure AI Engineer, you will frequently work alongside data scientists to design, develop, and deploy machine learning models using Azure's AI services. Collaboration involves translating business requirements into robust AI solutions, optimizing model performance, and integrating these models into production systems. You will also partner with DevOps and cloud infrastructure teams to ensure scalable, secure, and maintainable deployments. Effective communication and a proactive approach to knowledge sharing are key, as you’ll often guide junior engineers and contribute to cross-functional project planning.

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Senior Azure Ai Engineer jobs near you

Security Architect - AI AppSec

SOVEREIGN CARE SERVICES

Brownsburg, IN • On-site

$90 - $100/hr

Full-time

Retirement

Re-posted 9 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