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Ai Automation Developer Jobs in Indiana (NOW HIRING)

Process Automation Engineer As a Process Automation Engineer, you will support the Clinton ... AI, to support parts of our recruitment process, such as reviewing applications against jobrelated ...

ServiceNow Automation Engineer

Carmel, IN · On-site

$103K - $128K/yr

As MISO's ServiceNow Automation Engineer , you'll design, optimize, and govern end-to-end ITSM workflows while harnessing automation and AI to eliminate manual effort and elevate service quality. You ...

Showing results 21-40

Ai Automation Developer information

See Indiana salary details

$10

$49

$77

How much do ai automation developer jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for ai automation developer in Indiana is $49.55, according to ZipRecruiter salary data. Most workers in this role earn between $38.41 and $56.97 per hour, depending on experience, location, and employer.

What is the difference between Ai Automation Developer vs Data Scientist?

AspectAi Automation DeveloperData Scientist
Required CredentialsBachelor's in CS, Engineering, or related field; knowledge of AI/ML toolsBachelor's or higher in Statistics, Math, or CS; proficiency in data analysis and ML
Work EnvironmentDevelops AI automation solutions, often in tech or enterprise settingsAnalyzes data to extract insights, often in research or analytics teams
Employer & Industry UsageTech companies, automation firms, industries adopting AI solutionsResearch institutions, finance, healthcare, and data-driven industries

While both roles involve AI and machine learning, Ai Automation Developers focus on creating automated AI systems to streamline processes, whereas Data Scientists analyze data to inform business decisions. The roles often overlap but serve different primary functions within organizations.

Is AI automation a good career?

AI automation is a growing field with strong demand for professionals such as AI automation developers, who design and implement automated systems using machine learning and programming skills. It offers opportunities in various industries, competitive salaries, and the chance to work on innovative technologies, making it a promising career choice for those interested in technology and problem-solving.

What is the salary of AI automation developer?

The salary of an AI automation developer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and industry. Professionals with strong skills in machine learning, programming, and automation tools like Python and TensorFlow tend to earn higher salaries.

What jobs can I do with AI automation?

AI Automation Developers can work in roles such as AI engineer, machine learning engineer, data scientist, automation analyst, or robotics process automation (RPA) developer. These jobs involve designing, implementing, and maintaining AI-driven systems, often requiring skills in programming, data analysis, and familiarity with AI tools like Python, TensorFlow, or UiPath.
Infographic showing various Ai Automation Developer job openings in Indiana as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 70% Physical, 3% Hybrid, and 27% Remote job distribution, with an average salary of $103,066 per year, or $49.6 per hour.

AI Enabled Automation Architect

Indianapolis, IN • On-site

Part-time

Re-posted 7 days ago


Job description

Build More Than Just a Career. Build Your Future.

At Vailexa, we're not just hiring — we're building thinkers, creators, and future leaders.

We believe in giving people the space to grow, the freedom to think, and the opportunity to create real impact from day one. If you're someone who wants to learn fast, take ownership, and grow beyond limits, you'll feel right at home here.

Position Overview:
Client is seeking an AI Enabled Automation Architect dedicated to Site Automation Engineering to support advanced pharmaceutical manufacturing initiatives. This role focuses on the continued development, maturation, and application of reusable phase libraries, equipment module abstractions, and digital knowledge structures that enable scalable and repeatable manufacturing automation. The role operates within a GxP and GMP regulated environment and works closely with site automation, process engineering, and execution teams to validate solutions using real batch records and real manufacturing use cases. Required Qualifications
  1. Experience with tech transfer, manufacturing automation, recipe design, control strategies, and batch execution workflows; specifically batch process experience, not continuous process control.
  2. Minimum 6 years of hands-on, batch-specific DeltaV configuration experience (not continuous), plus working knowledge of MES, data integration, and digital manufacturing architectures.
  3. Pharmaceutical or life sciences manufacturing experience; Small Molecule experience specifically preferred, with biologics, advanced therapies, or multi-modality experience considered a plus.
  4. Capability in data modeling, information architecture, knowledge representation, or related digital-knowledge disciplines.
  5. Experience bridging process knowledge and digital execution systems without over-reliance on custom application development.
  6. Experience designing modular, reusable technical frameworks rather than one-off implementations.
  7. Hands-on experience with AI or machine learning tools in an regulated technical environment, with the aptitude and willingness to grow into more advanced AI-driven workflows (e.g. agentic architectures).
  8. Ability to work iteratively using real process examples, user feedback, and rapid learning cycles.
  9. Strong cross-functional engagement skills with automation, process engineering, operations, PT&E, quality, and related stakeholder groups.
Preferred Capabilities
  • AI-enabled analysis, decision support, or knowledge-system experience in regulated technical environments; particularly agentic architecture and coding experience (e.g. Claude Code, Codex).
  • Change-management, training, and governance experience to help operationalize adoption across functions.
  • Familiarity with data integrity principles (ALCOA+) and data governance frameworks.
  • Experience with Kneat, ValGenesis, or similar electronic validation management systems.

Ready to take the next step?

If you're excited about this role and ready to grow with a team that values ambition, ideas, and impact — we'd love to hear from you.

???? Apply now and start building your journey with Vailexa.