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Assistant Ai Agent Jobs in Indiana (NOW HIRING)

Merchants Bancorp

AI Enablement Specialist

Carmel, IN · On-site

Create training materials, office hours, documentation, and knowledge articles. * Assist teams in evaluating AI use cases for feasibility, risk, and expected value. Agent Development & Configuration

Fluence

$51.75 - $68.50/hr

Role Overview As AI Specialist / Vibe Coder, you will be the rapid-build engine of Fluence's GTM ... start assistants, and in-platform help content * Evaluate new LLM and agent capabilities ...

Ashley Global Retail, LLC

Customer Care Agent

Indianapolis, IN · On-site

$14.75 - $19.75/hr

Navigate multiple systems simultaneously, including Package AI, Storis, and Salesforce, to track ... to assist customers. * Demonstrate a strong understanding of delivery logistics, routing, and ...

Ashley Global Retail, LLC

Customer Care Agent

Indianapolis, IN · On-site

$14.75 - $19.75/hr

Navigate multiple systems simultaneously, including Package AI, Storis, and Salesforce, to track ... to assist customers. * Demonstrate a strong understanding of delivery logistics, routing, and ...

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Assistant Ai Agent information

What is an assistant AI agent?

An Assistant AI Agent is a computer program or software system designed to help users perform tasks, answer questions, or automate processes using artificial intelligence. These agents can interact with users through text, voice, or other interfaces, making tasks like scheduling, data retrieval, or customer support more efficient. Assistant AI Agents are commonly found in smartphones, smart speakers, websites, and business applications, where they can provide quick and accurate support. Their capabilities continue to grow as advancements in AI and machine learning improve their understanding and responsiveness.

What are the key skills and qualifications needed to thrive as an assistant AI agent, and why are they important?

To thrive as an Assistant AI Agent, you need strong analytical thinking, natural language understanding, and a background in computer science, data science, or a related field. Familiarity with AI tools, machine learning frameworks, and conversational platforms such as Python, TensorFlow, or Dialogflow is typically required. Excellent communication skills, problem-solving abilities, and adaptability help an AI Agent provide effective support and improve user interactions. These skills ensure the agent can interpret user needs accurately, deliver reliable assistance, and continuously enhance its performance.

What are some common challenges faced by assistant AI agents in supporting teams, and how can these be addressed?

Assistant AI Agents often encounter challenges such as managing high volumes of requests, adapting to evolving user needs, and ensuring accurate, context-aware responses. To address these, it’s important to continuously learn from real-time interactions, leverage feedback from team members, and stay updated on organizational processes. Collaborating closely with human colleagues and regularly reviewing performance can help improve the quality and relevance of assistance provided.

What is the difference between Assistant Ai Agent vs Customer Support Specialist?

AspectAssistant Ai AgentCustomer Support Specialist
Required CredentialsBasic technical knowledge, AI familiarityCustomer service training, communication skills
Work EnvironmentChatbots, AI platforms, digital interfacesCall centers, help desks, in-person or remote
Employer & Industry UsageTech companies, AI service providersRetail, telecom, service industries
Common Search & Comparison IntentUnderstanding AI roles, automation toolsCustomer service roles, support skills

The Assistant Ai Agent primarily focuses on interacting via AI-driven platforms, utilizing technical knowledge of AI systems. In contrast, Customer Support Specialists handle direct customer interactions, providing assistance through various communication channels. While both roles aim to improve customer experience, the Assistant Ai Agent emphasizes automation and AI technology, whereas Customer Support Specialists focus on human interaction and problem-solving.

How can I become an assistant AI agent?

To become an assistant AI agent, candidates typically need a background in computer science, artificial intelligence, or related fields, along with skills in programming languages such as Python and experience with AI frameworks like TensorFlow or PyTorch. Knowledge of natural language processing and machine learning concepts is also important, and some roles may require certifications or training in AI development. Strong problem-solving skills and the ability to work with AI tools are essential for success in this role.

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

The most popular types of Ai Agent jobs in Indiana are:

What are popular job titles related to Assistant Ai Agent jobs in Indiana?

For Assistant Ai Agent jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Assistant Ai Agent jobs in Indiana look for?

The top searched job categories for Assistant Ai Agent jobs in Indiana are:

What cities in Indiana are hiring for Assistant Ai Agent jobs?

Cities in Indiana with the most Assistant Ai Agent job openings:

Assistant Ai Agent jobs near you
Infographic showing various Assistant Ai Agent job openings in Indiana as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 21% Part Time, 1% Temporary, and 3% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution.

Security Architect - AI AppSec

Brownsburg, IN • On-site

SOVEREIGN CARE SERVICES
Home Health Care Services • 51 - 200 employees
Learn more about SOVEREIGN CARE SERVICESexternal

$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