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Ai Prompt Training Jobs in Indiana (NOW HIRING)

TEKsystems

SDET

Carmel, IN

$40 - $48/hr

... instructions, training materials, and guidance for effective use of test automation and AI ... software quality, including prompt writing, workflow automation, AI-assisted coding, and ...

TEKsystems c/o Allegis Group

SDET

Carmel, IN · On-site

$40 - $48/hr

... instructions, training materials, and guidance for effective use of test automation and AI ... software quality, including prompt writing, workflow automation, AI-assisted coding, and ...

TEKsystems

SDET

Carmel, IN

$40 - $48/hr

... instructions, training materials, and guidance for effective use of test automation and AI ... software quality, including prompt writing, workflow automation, AI-assisted coding, and ...

Providesure.com

Junior Software Engineer

Indianapolis, IN · On-site

$110 - $180/hr

Agentic AI Development and Prompt Engineering * RAG (Retrieval-Augmented Generation) Pipeline ... AI Model Training and Fine-Tuning (including frameworks like UnSLOTH) * Low-Code/Internal Tooling ...

New

Esswd

Legal Solutions Architect

Indianapolis, IN · Hybrid

$183K - $211K/yr

Design, build, test, and maintain AI agents and AI-assisted workflows for legal processes ... Facilitate training sessions, workshops, and individual coaching for attorneys and legal ...

Meta

Electrical Subject Matter Expert

Lebanon, IN · On-site

$114K/yr

Provide training to Critical Facility Engineers and other cross functional teams on electrical ... Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration ...

Esswd

Manager of Legal Solutions

Indianapolis, IN · Hybrid

Design, build, test, and maintain AI agents and AI-assisted workflows for legal processes ... Lead training sessions, workshops, and individual coaching for attorneys and legal consultants at ...

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Ai Prompt Training information

What is AI prompt training?

AI prompt training is the process of designing, refining, and testing prompts to guide artificial intelligence models, such as language models, to produce accurate, relevant, and useful outputs. This involves understanding how the AI interprets different instructions and iteratively improving prompts to achieve desired results. People working in AI prompt training often experiment with phrasing, context, and structure of prompts to optimize AI performance for various tasks, including content generation, summarization, or problem solving.

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

To excel as an AI Prompt Trainer, you need a solid understanding of natural language processing, machine learning concepts, and strong analytical skills, often supported by a degree in computer science or a related field. Familiarity with AI platforms, prompt engineering tools, and annotation systems is typically required, as well as experience with programming languages like Python. Strong communication, creativity, and attention to detail are important soft skills for crafting effective prompts and collaborating with development teams. These skills ensure that AI models are trained efficiently, resulting in accurate and contextually relevant outputs that meet user needs.

What are some common challenges faced by professionals in AI prompt training and how can they be addressed?

Professionals in AI prompt training often encounter challenges such as maintaining prompt clarity, avoiding biased or ambiguous language, and continuously adapting to evolving AI models. It can be tricky to strike the right balance between specificity and flexibility in prompts to achieve reliable outputs. Collaboration with data scientists and AI developers is key to refining prompts and understanding model behavior. Regularly reviewing prompt outcomes, participating in team feedback sessions, and staying updated on best practices can help address these challenges and improve the quality of prompt training.

What is the difference between Ai Prompt Training vs Ai Content Writer?

AspectAi Prompt TrainingAi Content Writer
Required CredentialsKnowledge of AI models, training techniques, and prompt engineeringWriting skills, SEO knowledge, and content creation experience
Work EnvironmentTech companies, AI labs, remote or office-based roles focused on AI model developmentMarketing agencies, media companies, or freelance platforms creating written content
Employer & Industry UsageUsed by AI developers and tech firms to improve AI interactionsUsed by content marketing and publishing industries to produce engaging articles

While Ai Prompt Training involves developing and refining prompts to optimize AI responses, Ai Content Writers focus on creating high-quality written content for various platforms. Both roles require strong communication skills, but Ai Prompt Training emphasizes technical understanding of AI models, whereas Ai Content Writers prioritize writing and SEO expertise.

Where can I learn how to prompt AI?

To learn how to prompt AI for an AI Prompt Training role, you can explore online courses, tutorials, and workshops focused on natural language processing, prompt engineering, and AI tools like ChatGPT. Developing skills in understanding AI behavior and experimenting with different prompts is essential for effective training and optimization.

What are popular job titles related to Ai Prompt Training jobs in Indiana?

For Ai Prompt Training jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Ai Prompt Training jobs in Indiana look for?

The top searched job categories for Ai Prompt Training jobs in Indiana are:

What cities in Indiana are hiring for Ai Prompt Training jobs?

Cities in Indiana with the most Ai Prompt Training job openings:

Ai Prompt Training jobs near you
Infographic showing various Ai Prompt Training job openings in Indiana as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 17% Part Time, and 2% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution.

Forward Deployed Engineer- AWS

Deloitte

Indianapolis, IN • On-site

Full-time

Re-posted 26 days ago

Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 93 frontline employees who took The Breakroom Quiz

46th of 152 rated financial services

Job description

At Deloitte, Forward Deployed Engineers (FDE) don't just build AI solutions, they help clients turn AI ambition into enterprise-scale impact, pairing leading class engineering with pod-based delivery and vertical expertise. If you thrive at the intersection of product, engineering, problem-solving, and client impact, this role puts you at the forefront of AI transformations.


Work you'll do

As an AWS AI&Data FDE, you will work side by side with senior functional and technical client team members to rapidly prototype and deliver high-impact GenAI-enabled solutions. This requires a highly motivated practitioner who moves with speed and precision, building working software, engaging confidently with senior stakeholders and engineers to bring measurable business impact from day one. Additional responsibilities include:


Client Engagement

  • Embed with clients to identify business needs and translate high-value GenAI use cases into solutions.
  • Partner with leaders, product owners, architects, and engineers to align priorities and delivery.
  • Lead working sessions to shape solutions and drive client outcomes.
  • Prototype and deliver working AI solutions using industry expertise and emerging capabilities.
  • Contribute independently within an FDE pod while mentoring newer team members.


Solution Engineering

  • Build AI-enabled solutions, agentic platforms, and workflows across enterprise AI platforms.
  • Develop scalable AI engineering patterns, tool-use approaches, and human-in-the-loop controls.
  • Apply architecture decisions that balance quality, safety, latency, cost, and model risk.
  • Deliver production-quality code using strong practices in testing, CI/CD, logging, versioning, and documentation.
  • Design extensible functionality, support sprint sizing, and align solutions with senior team members.
  • Contribute reusable assets including code, prompt libraries, runbooks, and reference implementations.


The team

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.


Required qualifications 

  • Bachelor's degree (or equivalent) in Computer Science, Data Science or Engineering.
  • 3+ years of experience in software engineering, data engineering, data science, or analytics engineering. 
  • 1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments
  • 1+ years of experience with AWS AI&Data including hands on experience with one of the following key platforms/products: Amazon Bedrock, Bedrock AgentCore, Strands Agents SDK, Knowledge Bases, Guardrails
  • 1+ years of experience with AWS Neptune and OpenSearch
  • 1+ years of experience leading project workstreams/engagements and translating business problems into AI solutions
  • At least 3 of 6 certifications from the following list: AWS Certified Cloud Practitioner, AWS Certified Solutions Architect (Associate), AWS Certified AI Practitioner (AIF-C01), AWS Certified Generative AI Developer (Professional - AIP-C01), AWS Certified Machine Learning Engineer (Associate - MLA-C01) or AWS Certified Data Engineer (Associate)
  • 1+ years of experience building reliable, maintainable, and well-documented code 
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve
  • Limited immigration sponsorship may be available


Preferred qualifications

  • Experience with cloud environments (AWS, Azure, and/or Google Cloud) and common platform services (storage, compute, IAM, networking)
  • Demonstrated ability to work directly alongside client technical teams and program stakeholders in fast-paced, ambiguous delivery environments 
  • Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation
  • Experience with MLOps/LLMOps practices: evaluation frameworks, model monitoring, and prompt management 
  • Experience with SageMaker fine-tuning (SFT and RFT) for domain SLMs
  • Experience integrating LLM solutions with enterprise systems via APIs, microservices, or event-driven architectures 
  • Experience operating within hybrid onshore/offshore teams 
  • Familiarity with security, privacy, and compliance considerations


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 $134,500 to $265,100.


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:

At Deloitte, Forward Deployed Engineers (FDE) don't just build AI solutions, they help clients turn AI ambition into enterprise-scale impact, pairing leading class engineering with pod-based delivery and vertical expertise. If you thrive at the intersection of product, engineering, problem-solving, and client impact, this role puts you at the forefront of AI transformations.


Work you'll do

As an AWS AI&Data FDE, you will work side by side with senior functional and technical client team members to rapidly prototype and deliver high-impact GenAI-enabled solutions. This requires a highly motivated practitioner who moves with speed and precision, building working software, engaging confidently with senior stakeholders and engineers to bring measurable business impact from day one. Additional responsibilities include:


Client Engagement

  • Embed with clients to identify business needs and translate high-value GenAI use cases into solutions.
  • Partner with leaders, product owners, architects, and engineers to align priorities and delivery.
  • Lead working sessions to shape solutions and drive client outcomes.
  • Prototype and deliver working AI solutions using industry expertise and emerging capabilities.
  • Contribute independently within an FDE pod while mentoring newer team members.


Solution Engineering

  • Build AI-enabled solutions, agentic platforms, and workflows across enterprise AI platforms.
  • Develop scalable AI engineering patterns, tool-use approaches, and human-in-the-loop controls.
  • Apply architecture decisions that balance quality, safety, latency, cost, and model risk.
  • Deliver production-quality code using strong practices in testing, CI/CD, logging, versioning, and documentation.
  • Design extensible functionality, support sprint sizing, and align solutions with senior team members.
  • Contribute reusable assets including code, prompt libraries, runbooks, and reference implementations.


The team

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.


Required qualifications 

  • Bachelor's degree (or equivalent) in Computer Science, Data Science or Engineering.
  • 3+ years of experience in software engineering, data engineering, data science, or analytics engineering. 
  • 1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments
  • 1+ years of experience with AWS AI&Data including hands on experience with one of the following key platforms/products: Amazon Bedrock, Bedrock AgentCore, Strands Agents SDK, Knowledge Bases, Guardrails
  • 1+ years of experience with AWS Neptune and OpenSearch
  • 1+ years of experience leading project workstreams/engagements and translating business problems into AI solutions
  • At least 3 of 6 certifications from the following list: AWS Certified Cloud Practitioner, AWS Certified Solutions Architect (Associate), AWS Certified AI Practitioner (AIF-C01), AWS Certified Generative AI Developer (Professional - AIP-C01), AWS Certified Machine Learning Engineer (Associate - MLA-C01) or AWS Certified Data Engineer (Associate)
  • 1+ years of experience building reliable, maintainable, and well-documented code 
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve
  • Limited immigration sponsorship may be available


Preferred qualifications

  • Experience with cloud environments (AWS, Azure, and/or Google Cloud) and common platform services (storage, compute, IAM, networking)
  • Demonstrated ability to work directly alongside client technical teams and program stakeholders in fast-paced, ambiguous delivery environments 
  • Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation
  • Experience with MLOps/LLMOps practices: evaluation frameworks, model monitoring, and prompt management 
  • Experience with SageMaker fine-tuning (SFT and RFT) for domain SLMs
  • Experience integrating LLM solutions with enterprise systems via APIs, microservices, or event-driven architectures 
  • Experience operating within hybrid onshore/offshore teams 
  • Familiarity with security, privacy, and compliance considerations


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 $134,500 to $265,100.


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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