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Ai Prompt Engineer Jobs in Indiana (NOW HIRING)

Pwc

ERP AI Engineer - Manager

Indianapolis, IN · On-site

$99K - $232K/yr

... and prompt engineering - Building scalable, cloud-native microservices and containerized ... AI solution designs - Contributing to business development and proposal writing - Cloud ...

Merchants Bancorp

AI Enablement Specialist

Carmel, IN · On-site

Provide consultation on agent design, prompt design, data grounding, and AI solution architecture. * Coach citizen developers and power users on AI development best practices. * Create training ...

Fluence

$51.75 - $68.50/hr

Produce adoption aids and internal tooling including prompt guides, workflow reference materials ... Demonstrated experience with LLM APIs, prompt engineering, or AI agent frameworks - you have built ...

Kobie Marketing

AI Engineer

Indianapolis, IN · Remote

We're looking for a hands-on AI Engineer to ship on that platform: building agent harnesses ... Implement guardrails around tool execution: auth scoping, input/output validation, PII and prompt ...

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Ai Prompt Engineer information

See Indiana salary details

$24

$51

$72

How much do ai prompt engineer jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for ai prompt engineer in Indiana is $51.03, according to ZipRecruiter salary data. Most workers in this role earn between $41.15 and $59.23 per hour, depending on experience, location, and employer.

How do I become an AI prompt engineer?

To become an AI prompt engineer, develop strong skills in natural language processing, machine learning, and programming languages like Python. Gain experience with AI models such as GPT and learn how to craft effective prompts through practice and understanding of model behavior. Relevant certifications or courses in AI and data science can also enhance your qualifications.

Is AI prompt engineer still in demand?

AI prompt engineers are currently in high demand as organizations seek to optimize interactions with AI language models. The role requires skills in natural language processing, creativity, and familiarity with AI tools like GPT, with demand expected to grow as AI adoption expands across industries.

What is an AI prompt engineer?

An AI Prompt Engineer designs, tests, and optimizes prompts to improve the performance of AI language models. They ensure that AI-generated responses align with desired outcomes by refining input prompts and analyzing model behavior. This role requires a mix of technical skills, creativity, and an understanding of natural language processing (NLP). Prompt engineers often collaborate with developers, data scientists, and product teams to enhance AI interactions.

How much do AI prompt engineers make?

AI prompt engineers typically earn between $70,000 and $130,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in machine learning and natural language processing can command higher salaries. Compensation may also include benefits such as bonuses and stock options.

What does an AI prompt engineer do?

As an AI Prompt Engineer, your day-to-day work often involves designing, testing, and refining prompts to improve the performance and accuracy of AI models for various applications. You'll frequently collaborate with data scientists, product managers, and software developers to understand requirements and integrate AI solutions effectively. Analyzing prompt outputs, troubleshooting issues, and documenting best practices are integral parts of the role. This position offers a dynamic and intellectually stimulating environment where continual learning and innovation are encouraged.

What are the key skills and qualifications needed to thrive as an AI prompt engineer?

To thrive as an AI Prompt Engineer, a solid background in natural language processing, programming (such as Python), and understanding of machine learning concepts is essential, typically supported by a degree in computer science or a related field. Experience with AI frameworks (like OpenAI's APIs), prompt engineering tools, and familiarity with cloud platforms are highly valued and may be supplemented by certifications in AI or data science. Strong analytical thinking, creativity, and excellent communication skills allow for designing effective prompts and collaborating with technical and non-technical stakeholders. These skills and qualities ensure the development of high-quality AI solutions that meet user needs and maximize the effectiveness of language models.

What are the most commonly searched types of Ai Prompt Engineer jobs in Indiana? The most popular types of Ai Prompt Engineer jobs in Indiana are:
What are popular job titles related to Ai Prompt Engineer jobs in Indiana? For Ai Prompt Engineer jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Ai Prompt Engineer jobs in Indiana look for? The top searched job categories for Ai Prompt Engineer jobs in Indiana are:
What cities in Indiana are hiring for Ai Prompt Engineer jobs? Cities in Indiana with the most Ai Prompt Engineer job openings:
Ai Prompt Engineer jobs near you
Infographic showing various Ai Prompt Engineer job openings in Indiana as of August 2026, with employment types broken down into 42% Internship, and 58% Full Time. Highlights an 100% In-person job distribution, with an average salary of $106,149 per year, or $51 per hour.

Experienced QA Engineer with Hands-on Automation and AI Skills

Deloitte

Indianapolis, IN

Full-time

Posted 5 days ago

Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

45th of 150 rated financial services

Job description

Senior QA Engineer -AI & Engineering

Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to business. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.
AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.
Engineering as a Service provides complete design, implementation, and technology operations, leveraging our core engineering expertise. We transform engineering teams, modernize technology, and deliver complex programs with a product engineering approach. Our flexible delivery models-traditional teams, pools, or pods-are tailored to each client's needs, offering engineering-led advisory, implementation, and operational capabilities to accelerate innovation.

Work You'll Do

As an SDET III, you will bring considerable technical expertise to deliver effective solutions to clients including the following:

  • Acting as the lead, interfacing between clients and our Deloitte teams.
  • Helping to create testing solutions to meet our clients' business needs.
  • Leading the testing of custom technology solutions.

Required Qualifications and Experience

  • 6+ years' relevant consulting or industry experience.
  • Bachelor's degree in computer science, engineering or a related field.
  • 4+ years hands-on experience defining the testing strategy for large scale programs and ensuring requirements traceability throughout the system development lifecycle. Experience should include leading the testing efforts, including experience with all phases of testing: system integration, user acceptance, and performance testing.
  • Experience with at least two of the following: TCOE, TMO, mobile testing, automation testing, SAP/Oracle testing, data testing in a client-facing or industry role.
  • 4+ years' experience driving the quality assurance processes and gaining delivery and buy-in from executive leadership.
  • 2+ years' experience leading teams - onshore, offshore and nearshore.
  • Experience with Test and Defect Management tools - MicroFocus, ALM, JIRA.
  • 4+ years' experience working in a testing role in different environments including the following: client server, service-oriented architecture, web-based, mainframe-based and three-tier architectures.
  • Experience with the following: MicroFocus UFT, Rational Tooling, and Open Source Automation Tools such as Selenium, Cucumber, OpSoapUI, PostMan, RESTAssured, Mockito.
  • Experience in at least one Scripting language - Shell, VBScript, Perl or Python.
  • Experience with Source Control Systems - SVN or GIT.
  • Experience with Build tools - Maven, CircleCI.
  • Experience with Automated Reporting.
  • Experience with Cloud testing, API testing
  • Experience with CI/CD/CT tools - Jenkins, Bamboo, Quickbuild.
  • Experience applying prompt engineering techniques to generate, refine, or debug automated test scripts and test data.
  • Ability to travel up to 50% of the time, based on the work you do and the clients and industries/sectors you serve.

Preferred Qualifications and Experience

  • Experience working in Cloud, Web and Mobile Testing platforms - Saucelabs, Browerstack are preferred.
  • Hands-on experience with machine learning models.
  • Experience in Python NLTK or similar natural language processing technology.
  • Experience evaluating or testing AI/LLM-based application features (e.g., chatbots, copilots, RAG-based systems), including prompt-response validation and hallucination/edge-case testing.
  • Exposure to AI-assisted defect triage or root-cause analysis tools that reduce manual investigation time.
  • Exposure to self-healing test automation frameworks (AI-driven locator repair, visual AI testing).
  • Understanding of responsible AI/testing governance principles (bias detection, explainability, model validation) as applied to QE.
  • Experience contributing to or influencing AI-adoption roadmaps within a testing/QE organization.
  • Experience implementing testing best practices specific to the test planning and execution processes and gaining buy-in for changes from executives.
  • A deep understanding of testing planning and associated delivery challenges.
  • A strong understanding of the various approaches used in testing techniques - white-box, black-box, load testing, coverage testing and regression testing.

Sponsorship:

  • Limited immigration sponsorship may be available.

Wages + Salary

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $105,400 to $207,800.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Qualifications:

Senior QA Engineer -AI & Engineering

Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to business. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.
AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.
Engineering as a Service provides complete design, implementation, and technology operations, leveraging our core engineering expertise. We transform engineering teams, modernize technology, and deliver complex programs with a product engineering approach. Our flexible delivery models-traditional teams, pools, or pods-are tailored to each client's needs, offering engineering-led advisory, implementation, and operational capabilities to accelerate innovation.

Work You'll Do

As an SDET III, you will bring considerable technical expertise to deliver effective solutions to clients including the following:

  • Acting as the lead, interfacing between clients and our Deloitte teams.
  • Helping to create testing solutions to meet our clients' business needs.
  • Leading the testing of custom technology solutions.

Required Qualifications and Experience

  • 6+ years' relevant consulting or industry experience.
  • Bachelor's degree in computer science, engineering or a related field.
  • 4+ years hands-on experience defining the testing strategy for large scale programs and ensuring requirements traceability throughout the system development lifecycle. Experience should include leading the testing efforts, including experience with all phases of testing: system integration, user acceptance, and performance testing.
  • Experience with at least two of the following: TCOE, TMO, mobile testing, automation testing, SAP/Oracle testing, data testing in a client-facing or industry role.
  • 4+ years' experience driving the quality assurance processes and gaining delivery and buy-in from executive leadership.
  • 2+ years' experience leading teams - onshore, offshore and nearshore.
  • Experience with Test and Defect Management tools - MicroFocus, ALM, JIRA.
  • 4+ years' experience working in a testing role in different environments including the following: client server, service-oriented architecture, web-based, mainframe-based and three-tier architectures.
  • Experience with the following: MicroFocus UFT, Rational Tooling, and Open Source Automation Tools such as Selenium, Cucumber, OpSoapUI, PostMan, RESTAssured, Mockito.
  • Experience in at least one Scripting language - Shell, VBScript, Perl or Python.
  • Experience with Source Control Systems - SVN or GIT.
  • Experience with Build tools - Maven, CircleCI.
  • Experience with Automated Reporting.
  • Experience with Cloud testing, API testing
  • Experience with CI/CD/CT tools - Jenkins, Bamboo, Quickbuild.
  • Experience applying prompt engineering techniques to generate, refine, or debug automated test scripts and test data.
  • Ability to travel up to 50% of the time, based on the work you do and the clients and industries/sectors you serve.

Preferred Qualifications and Experience

  • Experience working in Cloud, Web and Mobile Testing platforms - Saucelabs, Browerstack are preferred.
  • Hands-on experience with machine learning models.
  • Experience in Python NLTK or similar natural language processing technology.
  • Experience evaluating or testing AI/LLM-based application features (e.g., chatbots, copilots, RAG-based systems), including prompt-response validation and hallucination/edge-case testing.
  • Exposure to AI-assisted defect triage or root-cause analysis tools that reduce manual investigation time.
  • Exposure to self-healing test automation frameworks (AI-driven locator repair, visual AI testing).
  • Understanding of responsible AI/testing governance principles (bias detection, explainability, model validation) as applied to QE.
  • Experience contributing to or influencing AI-adoption roadmaps within a testing/QE organization.
  • Experience implementing testing best practices specific to the test planning and execution processes and gaining buy-in for changes from executives.
  • A deep understanding of testing planning and associated delivery challenges.
  • A strong understanding of the various approaches used in testing techniques - white-box, black-box, load testing, coverage testing and regression testing.

Sponsorship:

  • Limited immigration sponsorship may be available.

Wages + Salary

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $105,400 to $207,800.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Education:Bachelor's DegreeEmployment Type:

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