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Ai In Jobs in Indiana (NOW HIRING)

Director, Product

Indianapolis, IN · Remote

$222K - $233K/yr

Actively use AI in your own product workflow; bring firsthand fluency to decisions about where AI belongs in a product and where it doesn't. Commercialization, pricing & packaging * Own pricing and ...

Evaluate, select, and integrate best-in-class LLM and AI platform tooling, with preference for Microsoft Fabric, Azure AI Foundry, and complementary services. * Ensure AI applications are reliable ...

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Ai In information

What is an AI Engineer?

An AI Engineer is a professional who designs, develops, and implements artificial intelligence systems and applications. They use machine learning algorithms, deep learning frameworks, and data analysis techniques to create intelligent solutions that can perform tasks such as image recognition, natural language processing, and decision-making. AI Engineers often collaborate with data scientists and software developers to build models, train AI systems, and deploy them in real-world environments. Their work is crucial in advancing automation and making technology smarter across various industries.

What is the difference between Ai In vs Data Analyst?

AspectAi InData Analyst
Required CredentialsTypically a degree in AI, computer science, or related field; certifications in AI or machine learningDegree in statistics, mathematics, or related field; certifications in data analysis or visualization
Work EnvironmentTech companies, AI research labs, startups; focus on developing AI modelsBusiness, finance, healthcare sectors; analyze data to inform decisions
Employer & Industry UsagePrimarily in tech and AI-focused industriesAcross various industries including finance, healthcare, marketing

While both roles involve working with data, Ai In focuses on developing and implementing AI models, whereas Data Analysts interpret data to support business decisions. Ai In roles require specialized knowledge in AI and machine learning, while Data Analysts focus on data visualization and statistical analysis.

What job makes $10,000 a month without a degree?

In the field of AI, roles such as AI consultant, machine learning engineer, or data scientist can potentially earn $10,000 or more per month, especially with specialized skills, experience, and certifications. These positions often require strong programming knowledge, understanding of AI tools, and sometimes a background in mathematics or statistics, but they do not always require a formal degree if demonstrated expertise is available.

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

To thrive as an AI Engineer, you need strong programming skills (especially in Python), a solid foundation in mathematics and statistics, and typically a degree in computer science, engineering, or a related field. Familiarity with machine learning frameworks like TensorFlow or PyTorch, experience with data modeling, and sometimes certifications in AI or data science are highly valued. Critical thinking, creativity, and effective communication help AI Engineers collaborate on complex projects and translate technical concepts for diverse audiences. These skills and qualities are crucial for developing innovative, reliable AI solutions that address real-world challenges.

What is a $900,000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior AI researcher, machine learning director, or AI executive, often requiring advanced skills in data science, programming, and deep learning. These roles usually involve leadership, strategic planning, and extensive experience, and they may be found in large tech companies or specialized AI firms with competitive compensation packages. Such salaries reflect the high demand and specialized expertise in the AI industry.

Which 3 jobs will survive AI?

AI In roles such as data analysts, AI specialists, and cybersecurity professionals are likely to persist because they require complex problem-solving, creativity, and human oversight. These jobs involve tasks that are difficult to fully automate, especially those requiring critical thinking, ethical judgment, and interpersonal skills.

How is AI being used in jobs?

AI is used in jobs to automate repetitive tasks, analyze large data sets, and improve decision-making processes. Roles such as AI specialists, data analysts, and machine learning engineers often require knowledge of programming languages like Python and familiarity with AI tools and frameworks. This technology enhances productivity and enables new capabilities across various industries.

What are some common challenges AI Engineers face when integrating artificial intelligence solutions into existing business systems?

AI Engineers often encounter challenges such as ensuring compatibility between new AI models and legacy systems, managing data quality and availability, and addressing scalability concerns. Effective communication with cross-functional teams, including data scientists, IT, and business stakeholders, is essential to understand requirements and mitigate potential roadblocks. Additionally, AI Engineers must balance innovation with ethical considerations and compliance, making it crucial to stay updated on industry standards and best practices.
What are popular job titles related to Ai In jobs in Indiana? For Ai In jobs in Indiana, the most frequently searched job titles are:
What cities in Indiana are hiring for Ai In jobs? Cities in Indiana with the most Ai In job openings:
Senior AI Architect, Indianapolis, IN

Senior AI Architect, Indianapolis, IN

Agility 360

Indianapolis, IN

Other

Posted 11 days ago


Job description

Job Openings >> Senior AI Architect, Indianapolis, IN
Senior AI Architect, Indianapolis, IN
Summary
Title: Senior AI Architect, Indianapolis, IN ID: 1849 Location: Indianapolis, IN
Description

Senior AI Architect, Indianapolis, IN

Agility 360 seeking a Senior AI Architect for a client in Indianapolis, IN. This person will be responsible for shaping enterprise-wide AI architecture and driving scalable, ethical, and high-impact AI solutions. This role requires strong systems thinking, hands-on experience with AI/ML and GenAI technologies, and the ability to translate business needs into practical, production-ready solutions.
ESSENTIAL JOB FUNCTIONS

  • Partner with business leaders, product managers, and stakeholders to understand workflows, constraints, and AI opportunities
  • Assess AI use cases for feasibility, data readiness, architecture impact, and delivery risk
  • Translate business requirements into scalable AI solution architectures and technical designs
  • Design enterprise-grade AI solutions including data flows, integrations, security, and monitoring
  • Develop architecture artifacts such as workflows, diagrams, and decision records
  • Recommend AI approaches (ML, GenAI, RAG, agentic workflows, automation, hybrid models)
  • Ensure solutions meet standards for scalability, reliability, compliance, and responsible AI
  • Collaborate with architecture, security, data, and governance teams to align with enterprise standards
  • Build prototypes, PoCs, and reference implementations to validate solutions and reduce risk
  • Provide hands-on technical guidance, design reviews, and troubleshooting support
  • Mentor engineers and cross-functional teams through coaching and knowledge sharing
  • Establish reusable AI architecture standards, patterns, and best practices
  • Define and promote responsible AI principles including transparency, privacy, and oversight
  • Continuously evaluate emerging AI technologies and incorporate practical innovations
  • Capture lessons learned and develop reusable playbooks and architecture guidance
EDUCATION / EXPERIENCE REQUIREMENTS
  • Bachelor's degree in Computer Science, Data Engineering, or related field required; Master's preferred
  • 10+ years of software engineering or architecture experience with 5+ years in AI/ML solutions
  • Strong expertise in AI/ML system design, MLOps, and cloud-native architectures
  • Experience with LLMs, RAG architectures, vector databases, and modern AI frameworks
  • Hands-on experience with platforms such as AWS SageMaker, Azure ML, Vertex AI, Databricks, or OpenAI APIs
  • Proven ability to lead architecture decisions and collaborate across enterprise teams
  • Knowledge of AI governance, responsible AI practices, and data privacy/security standards
  • Strong communication, organizational, and problem-solving skills
  • Experience with enterprise architecture frameworks (Zachman/TOGAF) preferred
  • Cloud or architecture certifications (AWS, Azure) preferred

ADDITIONAL DETAILS

  • Location: on-site in Indianapolis, IN
  • Contract to hire
  • Salary: Commensurate with experience.
Apply Now
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