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Generative Ai Training Jobs in Indiana (NOW HIRING)

MedPro Group

AI Specialist

Fort Wayne, IN · On-site

Lead and deliver training sessions, workshops, and hands-on learning opportunities to increase AI ... Knowledge of Microsoft Copilot, generative AI tools, or large language models through coursework ...

Precinmac

AI Engineer

Indianapolis, IN · On-site

Ensure proper data handling, model training infrastructure and deployment. Authorities: Not ... Experience with Generative AI, AI Agents, or Reinforcement Learning * Python proficiency and ...

Crowe LLP

Senior AI Engineer

South Bend, IN · On-site +1

$102K - $140K/yr

Research new generative AI, machine learning, and cloud technologies to evaluate applicability to ... Basic ML/AI literacy (training vs inference, knowledge cutoffs, LLM fundamentals) * Prompt ...

Crowe LLP

Senior AI Engineer

Indianapolis, IN · On-site +1

$99K - $137K/yr

Research new generative AI, machine learning, and cloud technologies to evaluate applicability to ... Basic ML/AI literacy (training vs inference, knowledge cutoffs, LLM fundamentals) * Prompt ...

Jj

Staff AI/ML Software Engr, Navigation

Warsaw, IN · On-site

Demonstratable expertise in ML model training/optimization, local/cloud (AWS Sagemaker, Azure ... AI, Generative AI, LLMs) (Big plus) * Experience with on-device and cloud-based AI/ML ...

BC Forward

Data Engineer IV

Indianapolis, IN · On-site

$69 - $71/hr

Leverage LLMs and generative AI to automate data workflows and accelerate insight generation ... Champion data literacy and AI enablement through documentation, training, and best practices.

Deloitte

Oracle Tech Cloud Manager

Indianapolis, IN · On-site

... Generative AI services * Leading cloud migration, application consolidation, and database ... and training; licensure and certifications; and other business and organizational needs. The ...

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Generative Ai Training information

What are some common challenges faced by professionals working in generative AI training roles?

Professionals in Generative AI training often encounter challenges such as ensuring data quality and diversity, combating model bias, and staying updated with fast-evolving algorithms. Collaborating closely with data scientists, engineers, and subject matter experts is essential to create robust training datasets and refine model outputs. Additionally, balancing computational resource demands with project deadlines can be demanding, making strong project management and adaptability key assets in this role.

What are the key skills and qualifications needed to thrive in generative AI training?

To thrive in Generative AI Training, you need a strong background in machine learning, data science, and programming (especially Python), often supported by a degree in computer science or a related field. Experience with frameworks like TensorFlow, PyTorch, and familiarity with large language models and cloud platforms is typically required. Strong analytical thinking, creativity, and effective communication are essential soft skills for designing training data and refining model outputs. These skills and qualities are crucial for developing high-quality, ethical, and scalable AI systems that meet organizational goals.

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

AspectGenerative Ai TrainingData Scientist
Required CredentialsKnowledge of AI models, programming, machine learningStatistics, programming, data analysis
Work EnvironmentAI development teams, tech companies, research labsBusiness, finance, tech firms, research institutions
Industry UsageDeveloping generative models like GPT, DALL·EData analysis, predictive modeling, insights generation

Generative Ai Training focuses on developing and fine-tuning AI models that generate content, requiring expertise in AI frameworks and machine learning. Data Scientists analyze data to extract insights and build predictive models. While both roles involve programming and data skills, Generative Ai Training is specialized in AI model creation, whereas Data Scientists work broadly with data analysis across industries.

What is generative AI training?

Generative AI training refers to the process of teaching artificial intelligence models, such as neural networks, to create new content like text, images, audio, or code. This is done by exposing the AI to large datasets so it can learn underlying patterns and generate outputs that mimic human-like creativity. The training process often involves techniques like supervised learning, unsupervised learning, or reinforcement learning, depending on the desired outcome. Generative AI is widely used in applications like chatbots, image generation, and content creation.
What are popular job titles related to Generative Ai Training jobs in Indiana? For Generative Ai Training jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Generative Ai Training jobs in Indiana look for? The top searched job categories for Generative Ai Training jobs in Indiana are:
Generative Ai Training jobs near you
Infographic showing various Generative Ai 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 91% Physical, 1% Hybrid, and 8% Remote job distribution.

CCaaS x AI, Manager, Functional Transformation

Deloitte

Indianapolis, IN

Full-time

Re-posted 15 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

CCaaS x AI Manager, Functional Transformation

Our Deloitte Sales & Service team empowers organizations to build deeper relationships with customers through innovative strategies, advanced analytics, Generative AI, transformative technologies, and creative design. We can enhance customer experiences and drive sustained growth and customer value creation and capture, through customer and commercial strategies, digital products and innovation, marketing, commerce, sales, and service. We are a team of strategists, data scientists, operators, creatives, designers, engineers, and architects. Our team balances business strategy, technology, creativity, and ongoing managed services to solve the biggest problems that affect customers, partners, constituents, and the workforce

Recruiting for this role ends on December 31, 2026.

Work you'll do

As a functional Manager you will help clients modernize and transform their contact centers using CCaaS and Generative AI-anchored on AWS (for example, Amazon Connect, Amazon Lex, and Amazon Bedrock) and informed by cross-platform capabilities. This role is for a leader who can work effectively across business and technical stakeholders, shape scalable solution approaches, and lead delivery teams through the full lifecycle-from strategy and architecture through build, launch, and adoption.

  • Lead AI-enabled contact center transformation workstreams and engagements, translating servicing objectives into solution roadmaps, architecture decisions, and measurable business outcomes.
  • Architect and deliver Contact Center AI solutions using GenAI patterns such as prompt engineering, retrieval-augmented generation (RAG), and agent/tool-calling, with appropriate evaluation, governance, and safety controls.
  • Partner with clients to define future-state service experiences, operating models, and technology architectures across contact center modernization initiatives.
  • Support business development efforts where Contact Center AI is a core component by contributing to scope, estimates, solution storylines, workshops, and executive-level discussions.
  • Lead teams in the design, build, test, and deployment of cloud-based contact center solutions, while mentoring practitioners and promoting delivery quality, technical rigor, and adoption at scale.

A successful candidate would possess these skills:

  •   Ability to work independently and collaborate as part of a team
  •   Effective written and verbal communication skills
  •   Meticulous attention to detail and quality of work product
  •   Ability to build and sustain professional relationship
  •   Ability to lead projects or workstreams
  •   Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  •   Strong interpersonal skills and professional demeanor
  •   Ability to meet deadlines
  •   Ability to provide clear guidance to others

The team

Our Sales & Service offering drives global customer transformation by designing and implementing innovative sales and service experiences. We blend strategy, technology, and creativity to solve complex challenges, bringing customer strategies to life and creating new markets.

Qualifications

Required

  • 8+ years of experience in consulting and/or industry delivering digital, cloud, and/or contact center solutions.
  • 4+ years project experience architecting, building, and supporting cloud-based solutions on AWS.
  • Bachelor's degree in Computer Science, Engineering, or equivalent work experience
  • Ability to travel up to 50% on average, based on the work you do and the clients and industries/sectors you serve
  • Limited immigration sponsorship may be available

Preferred

  • Production delivery experience with Amazon Connect, Amazon Lex, and Amazon Bedrock (including streaming patterns, security, monitoring/operations).
  • Experience implementing enterprise controls: IAM, network segmentation (VPC), secrets management (Secrets Manager/KMS), and observability (CloudWatch).
  • Cross-platform exposure to Google Gemini (API/Vertex AI) and/or Dialogflow, including tool calling, safety controls, quotas/limits, and platform trade-offs.
  • Experience leading Contact Center AI use cases end-to-end (design through adoption) and partnering with contact center operations leaders on change management and KPI realization.
  • Strong understanding of SDLC methodologies (Agile, SCRUM, RUP, other)

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 $144,000 to $241,000.

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.

#Customer_US

#SS_US

 
Qualifications:

CCaaS x AI Manager, Functional Transformation

Our Deloitte Sales & Service team empowers organizations to build deeper relationships with customers through innovative strategies, advanced analytics, Generative AI, transformative technologies, and creative design. We can enhance customer experiences and drive sustained growth and customer value creation and capture, through customer and commercial strategies, digital products and innovation, marketing, commerce, sales, and service. We are a team of strategists, data scientists, operators, creatives, designers, engineers, and architects. Our team balances business strategy, technology, creativity, and ongoing managed services to solve the biggest problems that affect customers, partners, constituents, and the workforce

Recruiting for this role ends on December 31, 2026.

Work you'll do

As a functional Manager you will help clients modernize and transform their contact centers using CCaaS and Generative AI-anchored on AWS (for example, Amazon Connect, Amazon Lex, and Amazon Bedrock) and informed by cross-platform capabilities. This role is for a leader who can work effectively across business and technical stakeholders, shape scalable solution approaches, and lead delivery teams through the full lifecycle-from strategy and architecture through build, launch, and adoption.

  • Lead AI-enabled contact center transformation workstreams and engagements, translating servicing objectives into solution roadmaps, architecture decisions, and measurable business outcomes.
  • Architect and deliver Contact Center AI solutions using GenAI patterns such as prompt engineering, retrieval-augmented generation (RAG), and agent/tool-calling, with appropriate evaluation, governance, and safety controls.
  • Partner with clients to define future-state service experiences, operating models, and technology architectures across contact center modernization initiatives.
  • Support business development efforts where Contact Center AI is a core component by contributing to scope, estimates, solution storylines, workshops, and executive-level discussions.
  • Lead teams in the design, build, test, and deployment of cloud-based contact center solutions, while mentoring practitioners and promoting delivery quality, technical rigor, and adoption at scale.

A successful candidate would possess these skills:

  •   Ability to work independently and collaborate as part of a team
  •   Effective written and verbal communication skills
  •   Meticulous attention to detail and quality of work product
  •   Ability to build and sustain professional relationship
  •   Ability to lead projects or workstreams
  •   Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  •   Strong interpersonal skills and professional demeanor
  •   Ability to meet deadlines
  •   Ability to provide clear guidance to others

The team

Our Sales & Service offering drives global customer transformation by designing and implementing innovative sales and service experiences. We blend strategy, technology, and creativity to solve complex challenges, bringing customer strategies to life and creating new markets.

Qualifications

Required

  • 8+ years of experience in consulting and/or industry delivering digital, cloud, and/or contact center solutions.
  • 4+ years project experience architecting, building, and supporting cloud-based solutions on AWS.
  • Bachelor's degree in Computer Science, Engineering, or equivalent work experience
  • Ability to travel up to 50% on average, based on the work you do and the clients and industries/sectors you serve
  • Limited immigration sponsorship may be available

Preferred

  • Production delivery experience with Amazon Connect, Amazon Lex, and Amazon Bedrock (including streaming patterns, security, monitoring/operations).
  • Experience implementing enterprise controls: IAM, network segmentation (VPC), secrets management (Secrets Manager/KMS), and observability (CloudWatch).
  • Cross-platform exposure to Google Gemini (API/Vertex AI) and/or Dialogflow, including tool calling, safety controls, quotas/limits, and platform trade-offs.
  • Experience leading Contact Center AI use cases end-to-end (design through adoption) and partnering with contact center operations leaders on change management and KPI realization.
  • Strong understanding of SDLC methodologies (Agile, SCRUM, RUP, other)

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 $144,000 to $241,000.

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.

#Customer_US

#SS_US

 
Education:Bachelor's DegreeEmployment Type:

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