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Ai Implementation Jobs in Indiana (NOW HIRING)

This role focuses on designing, implementing, and enabling AI solutions using Microsoft Copilot and MedPro's internal LLM capabilities, while increasing overall AI literacy and adoption. * Partner ...

Translate business context into technical assumptions, solution options, architectural tradeoffs, implementation considerations, and readiness recommendations * Shape practical AI-enabled workflow ...

The role involves collaborating with various stakeholders to assess AI opportunities, design enterprise-grade architectures, and mentor teams in the implementation of AI solutions. Responsibilities ...

Translate business context into technical assumptions, solution options, architectural tradeoffs, implementation considerations, and readiness recommendations * Shape practical AI-enabled workflow ...

Translate business context into technical assumptions, solution options, architectural tradeoffs, implementation considerations, and readiness recommendations * Shape practical AI-enabled workflow ...

Design, implement, and optimize AI solutions leveraging Microsoft Copilot and MedPro's LLM capabilities. * Lead and deliver training sessions, workshops, and hands-on learning opportunities to ...

AI Architect

Kokomo, IN · On-site

$100K - $160K/yr

The ideal candidate will have 2-3 years of hands-on experience in developing and implementing AI solutions. You will work on exciting projects involving Large Language Models (LLMs) and help us build ...

AI Architect

Indianapolis, IN · On-site

$60.25 - $79.25/hr

Look for experience at implementation consultancies, PE-backed firms or technology teams that have shipped AI workflows into production - not just built prototypes. As AI Architect, you will:

AI Architect

Jeffersonville, IN · On-site

$60.50 - $79.50/hr

Look for experience at implementation consultancies, PE-backed firms or technology teams that have shipped AI workflows into production - not just built prototypes. As AI Architect, you will:

AI Architect

Indianapolis, IN · On-site

$56 - $72/hr

Required : • Architect and implement production-grade AI agent solutions on Google Cloud Platform (GCP), with Azure as a supporting cloud environment where required. • Design end-to-end AI ...

Google AI Lead Architect

Indianapolis, IN

$52.75 - $72.50/hr

Implement security and governance for AI/ML systems (data privacy, model poisoning, adversarial attacks); apply Gemini safety features and enterprise guardrails. Responsibilities include: * Architect ...

Recommend and implement AI tools to improve content generation, data analysis, learner support, and operational efficiency. * Stay updated on emerging AI technologies and provide recommendations for ...

The AI Engineer is an experienced technical professional who bridges business strategy with AI technology to design and implement scalable, secure AI systems to meet organizational goals.

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Ai Implementation information

How to get into AI implementation?

To pursue a career in AI implementation, develop strong skills in programming languages such as Python, understand machine learning frameworks like TensorFlow or PyTorch, and gain experience with data analysis and model deployment. Earning relevant certifications or degrees in computer science, data science, or AI can also enhance your qualifications.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior AI engineer, AI director, or chief AI officer, often found in large tech companies or organizations with significant AI initiatives. These roles usually require advanced skills in machine learning, deep learning, data analysis, and experience with AI tools and frameworks, along with leadership responsibilities. Compensation at this level reflects extensive expertise, strategic impact, and often includes bonuses or stock options.

What are the key skills and qualifications needed to thrive in the Ai Implementation position, and why are they important?

To excel in AI Implementation, you need a robust understanding of machine learning concepts, data analysis, and software development, often supported by a degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow, cloud platforms (AWS, Azure), and AI integration frameworks is commonly required, along with relevant certifications. Strong project management, problem-solving abilities, and excellent communication skills are crucial for coordinating with stakeholders and driving adoption. Mastering both technical and interpersonal skills ensures projects are delivered effectively and meet business objectives within diverse organizational settings.

How much do AI implementation consultants make?

AI implementation consultants typically earn between $70,000 and $130,000 annually, depending on experience, location, and industry. Senior consultants or those with specialized skills in machine learning and data analysis can earn higher salaries, often exceeding $150,000. Compensation may also include bonuses and benefits based on project success and company size.

What is an AI Implementation job?

An AI Implementation job involves deploying artificial intelligence solutions within an organization to improve efficiency, automation, and decision-making. Professionals in this role work closely with data scientists, engineers, and business teams to integrate AI models into existing systems. They manage data pipelines, ensure model performance, and address challenges related to scalability and compliance. Strong technical skills, project management, and an understanding of business processes are essential for success in this role.

What kinds of teams and departments does an AI Implementation professional typically collaborate with?

AI Implementation professionals usually work cross-functionally, interacting with data scientists, software engineers, IT departments, and business stakeholders to ensure AI solutions address specific business needs. Regular collaboration with product managers and operations teams helps align technical efforts with strategic objectives and regulatory requirements. You may also work closely with end users to gather feedback, refine implementations, and ensure a smooth adoption process. This collaborative environment not only enhances the quality of AI deployments but also offers valuable exposure to different aspects of the organization, fostering professional growth.

Which 5 jobs will survive AI?

AI implementation professionals, data scientists, cybersecurity specialists, healthcare providers, and skilled tradespeople are likely to continue thriving as these roles require complex problem-solving, human judgment, and hands-on skills that are difficult for AI to replicate. These jobs often involve critical thinking, emotional intelligence, or physical tasks that remain essential despite automation advances.
What are the most commonly searched types of Ai Implementation jobs in Indiana? The most popular types of Ai Implementation jobs in Indiana are:
What cities in Indiana are hiring for Ai Implementation jobs? Cities in Indiana with the most Ai Implementation job openings:
Infographic showing various Ai Implementation job openings in Indiana as of June 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution.
AI Specialist

Other

Posted 10 days ago


Job description

The AI Specialist partners with employees across the organization to identify opportunities where AI can drive meaningful efficiency and innovation. This role focuses on designing, implementing, and enabling AI solutions using Microsoft Copilot and MedPro's internal LLM capabilities, while increasing overall AI literacy and adoption.

  • Partner directly with employees and teams to identify and solve realworld business problems using AI, from idea through implementation
  • Design, implement, and optimize AI solutions leveraging Microsoft Copilot and MedPro's LLM capabilities
  • Lead and deliver training sessions, workshops, and handson learning opportunities to increase AI knowledge and confidence across MedPro
  • Act as a subjectmatter expert for Copilot, staying current on new features, updates, and best practices
  • Support governance, responsible use, and effective configuration of AI tools in alignment with MedPro policies