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Generative Ai Analyst Jobs in Indiana (NOW HIRING)

MISO

Principal AI Engineer

Carmel, IN · On-site

$168K - $193K/yr

At MISO, our Analytics and Forensics team is redefining how data powers the energy markets. We ... Designing, building, and deploying AI-driven solutions, including ML models, generative AI ...

Deloitte

Oracle Gen AI Manager

Indianapolis, IN

Deloitte Oracle Generative AI Architect Managers help clients delineate strategy and vision, design ... and analytic technologies? We're looking for someone that can increase the effectiveness of ...

Deloitte

Oracle AI Manager

Indianapolis, IN

We help clients innovate, enhance, and manage their data, AI, and analytics capabilities, ensuring ... Oracle Generative AI and Oracle Cloud Infrastructure AI services, including Oracle Cloud ...

BC Forward

Content Strategist III

Indianapolis, IN · On-site

$51 - $55/hr

... Generative AI-driven support experiences. Responsibilities: Conduct Root Cause Analyses on user support tickets to identify chatbot issues, including replication and debugging, and assess prevalence ...

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All JobsGenerative Ai Analyst JobsGenerative Ai Analyst Jobs in Indiana

Generative Ai Analyst information

See Indiana salary details

$46.6K

$84.3K

$117.5K

How much do generative ai analyst jobs pay per year?

As of Jun 28, 2026, the average yearly pay for generative ai analyst in Indiana is $84,279.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,900.00 and $94,700.00 per year, depending on experience, location, and employer.

What is the difference between Generative Ai Analyst vs Data Scientist?

AspectGenerative Ai AnalystData Scientist
Required CredentialsBachelor's in CS, AI, or related fields; certifications in AI/MLBachelor's/Master's in CS, Statistics, or related fields; advanced certifications
Work EnvironmentTech companies, AI startups, research labsTech firms, finance, healthcare, consulting
Employer & Industry UsageFocus on developing and refining generative AI modelsAnalyze data, build predictive models, derive insights
Common Search & Comparison IntentUnderstanding roles in AI developmentData analysis and modeling skills

While both roles require strong technical skills and knowledge of AI and data analysis, a Generative Ai Analyst specializes in creating and optimizing generative AI models, whereas a Data Scientist focuses on analyzing data to inform business decisions. The roles often overlap but differ in their primary focus and application within organizations.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles such as senior AI researchers, machine learning directors, or AI executives that offer compensation in this range, often including salary, bonuses, and stock options. These positions usually require advanced expertise in AI, extensive experience, and leadership skills, often within large tech companies or specialized AI firms.

What does a Generative AI analyst do?

A Generative AI analyst develops and fine-tunes AI models that create content such as text, images, or audio. They analyze data, optimize algorithms, and use tools like machine learning frameworks to improve model performance, often working with large datasets and programming languages like Python.

What are the key skills and qualifications needed to thrive as a Generative AI Analyst, and why are they important?

To thrive as a Generative AI Analyst, you need a solid background in data science, machine learning, and statistics, often supported by a degree in computer science or a related field. Familiarity with tools and frameworks such as Python, TensorFlow, PyTorch, and experience with large language models or generative adversarial networks (GANs) is typically required. Strong analytical thinking, creativity, and effective communication skills help you interpret complex data and present insights to stakeholders. These skills and qualities are crucial for developing innovative AI solutions, solving business challenges, and driving impactful results.

How does a Generative AI Analyst typically collaborate with data scientists and engineering teams?

A Generative AI Analyst frequently works alongside data scientists and engineering teams to interpret model outputs, assess data quality, and help translate business objectives into technical requirements. Collaboration usually involves regular meetings to review model performance, troubleshoot issues, and refine algorithms based on real-world feedback. Effective communication and a shared understanding of both AI concepts and business goals are essential, as the analyst often serves as a bridge between technical teams and stakeholders. This collaborative environment fosters continuous learning and innovation, making teamwork a core aspect of the role.

Is Generative AI a good career?

Generative AI is a growing field with increasing demand for analysts skilled in machine learning, deep learning, and data analysis. Careers in this area often require knowledge of programming languages like Python and familiarity with AI frameworks, offering opportunities in technology, research, and industry applications.

What is a Generative AI Analyst?

A Generative AI Analyst is a professional who specializes in analyzing, designing, and optimizing systems that use generative artificial intelligence models, such as large language models or image generators. Their work involves understanding how these AI models are developed, deployed, and utilized across various applications. They assess data quality, monitor model outputs, evaluate performance, and help improve the effectiveness and ethical use of generative AI technologies. Generative AI Analysts may also provide insights to organizations on best practices, risk management, and innovation opportunities related to AI. Their expertise bridges the gap between data science, AI development, and business strategy.

Which 3 jobs will survive AI?

For a Generative AI Analyst, roles that require complex human judgment, emotional intelligence, and creative problem-solving are likely to persist, such as healthcare professionals, educators, and strategic managers. These jobs involve nuanced decision-making and interpersonal skills that AI cannot fully replicate. Continuous learning and expertise in AI tools can also help professionals adapt and remain valuable in evolving workplaces.
What are popular job titles related to Generative Ai Analyst jobs in Indiana? For Generative Ai Analyst jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Generative Ai Analyst jobs in Indiana look for? The top searched job categories for Generative Ai Analyst jobs in Indiana are:
What cities in Indiana are hiring for Generative Ai Analyst jobs? Cities in Indiana with the most Generative Ai Analyst job openings:
Generative Ai Analyst jobs near you
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Gary, IN • On-site

Other

Posted 6 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply