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Genai Engineer Jobs in Indiana (NOW HIRING)

Deloitte

Delivery Management Engineer II

Indianapolis, IN · Hybrid

$53.25 - $71.25/hr

You will work directly with engineering teams, assisting with product and service delivery for AI, GenAI, and Cloud platform programs. You'll have full life-cycle project experience with specific ...

Pwc

AI & GenAI Data Scientist - Manager

Indianapolis, IN · On-site

$99K - $232K/yr

... GenAI Data Scientist - Manager, you will play a pivotal role in transforming raw data into ... In this role at PwC, you will apply data, algorithms, and software engineering to build and deploy ...

Liberty Mutual

Senior Software Engineer

Indianapolis, IN · On-site

$117K - $154K/yr

Our applications feature cutting-edge GenAI capabilities, agentic workflows, and embedded ... As part of BCS, you'll join a cross-functional team of Data Scientists, Data Engineers, and ...

Liberty Mutual

Senior Software Engineer

Indianapolis, IN

$117K - $154K/yr

Our applications feature cutting-edge GenAI capabilities, agentic workflows, and embedded ... As part of BCS, you'll join a cross-functional team of Data Scientists, Data Engineers, and ...

Alcoa

Azure Engineer (Flexible Location)

Newburgh, IN · On-site

$53 - $70.75/hr

The role also supports advanced workloads, including Generative AI (GenAI), by establishing ... Familiarity with Azure DevOps and CI/CD pipelines to support automated deployment and lifecycle ...

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Genai Engineer information

What is a GenAI engineer?

A GenAI Engineer is a professional who specializes in designing, developing, and deploying generative artificial intelligence (AI) models and applications. This role involves working with advanced machine learning techniques, such as large language models and generative adversarial networks, to create systems that can generate text, images, code, or other content. GenAI Engineers collaborate with data scientists, software engineers, and product teams to integrate AI capabilities into products and services, ensuring ethical use and scalability. They also stay updated on the latest developments in AI research to continually improve model performance and effectiveness.

What are the key skills and qualifications needed to thrive as a GenAI engineer, and why are they important?

To thrive as a GenAI Engineer, you need expertise in machine learning, deep learning, and programming languages such as Python, along with a solid understanding of generative models like GANs and transformers. Familiarity with frameworks such as TensorFlow or PyTorch, and experience with cloud platforms and MLOps tools, are highly valuable; advanced degrees or certifications in AI or data science are often preferred. Strong problem-solving, creativity, and communication skills help GenAI Engineers design innovative solutions and effectively collaborate with multidisciplinary teams. These skills ensure the development of robust, scalable generative AI systems that address complex real-world challenges.

What are some typical challenges a GenAI engineer faces when deploying AI models in production environments?

GenAI Engineers often encounter challenges such as ensuring model scalability, addressing bias in generated outputs, and maintaining performance consistency in real-world applications. Deploying generative AI models requires careful monitoring to prevent unexpected or inappropriate outputs, as well as efficient resource management to handle large-scale computations. Collaborating closely with data engineers, product managers, and ML operations teams is essential to streamline deployment pipelines and quickly resolve issues that arise in live environments.

What is the difference between Genai Engineer vs Data Scientist?

AspectGenai EngineerData Scientist
Required CredentialsDegree in Computer Science, AI, or related fields; experience with AI/ML frameworksDegree in Data Science, Statistics, or related fields; strong programming skills
Work EnvironmentDevelops AI models, fine-tunes generative AI systems, collaborates with AI teamsAnalyzes data, builds predictive models, interprets complex datasets
Employer & Industry UsageTech companies, AI startups, research labs focusing on generative AIFinance, healthcare, marketing, and tech firms analyzing data for insights

While both roles require strong technical skills and a background in data or AI, Genai Engineers focus on developing and deploying generative AI models, whereas Data Scientists analyze data to extract insights and build predictive models. The roles often overlap but serve different primary functions within AI and data-driven organizations.

What are popular job titles related to Genai Engineer jobs in Indiana?

For Genai Engineer jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Genai Engineer jobs in Indiana look for?

The top searched job categories for Genai Engineer jobs in Indiana are:

What cities in Indiana are hiring for Genai Engineer jobs?

Cities in Indiana with the most Genai Engineer job openings:

Genai Engineer jobs near you
Infographic showing various Genai Engineer job openings in Indiana as of August 2026, with employment types broken down into 90% Full Time, 6% Part Time, and 4% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution.

Delivery Management Engineer III

Deloitte

Indianapolis, IN • Hybrid

Full-time

Re-posted 19 days ago

Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 93 frontline employees who took The Breakroom Quiz

48th of 154 rated financial services

Job description

Delivery Management Engineer III- 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 businesses. 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.

Recruiting for this role ends on 10/1/2026.

Work You'll Do

As a Delivery Management Engineer III, you will have hands-on technical skills as well as program and project management experience to drive technical projects and programs working directly with our onshore and offshore development and engineering teams. You'll bring a mix of hands-on technical expertise with the ability to drive projects to completion managing onshore and offshore teams. You will work directly with engineering teams, assisting with product and service delivery for AI, GenAI, and Cloud platform programs. You'll have full life-cycle project experience with specific technical skills enabling you to be a valued technical member of our engineering teams. You will manage small projects or workstreams of larger projects.

  • Product & Service Lifecycle Management: you will work with our product or service delivery teams for AI, GenAI, and Cloud platform programs; engaging with engineering teams.
  • CI/CD Pipeline Design & Automation: you will design and optimize CI/CD pipelines with cloud-native and open-source tools.
  • Technical Project/Program Management: you will help manage technical programs/projects with your structured planning, reporting, and risk management skills.
  • Requirements Management / Business Analysis: you will handle requirements documentation (FSDs), mapping business needs to technical solutions, and stakeholder communications.
  • Containerization & Orchestration: you will managing platforms like Kubernetes, Docker, ECS/EKS (multi-cloud preferred).
  • Stakeholder Communication & Leadership: you will drive proactive collaboration between PMOs, executives, technical partners, and DevOps teams.

Qualifications - Required Skills and Experience

  • 6+ years' experience in CI/CD pipeline design and automation with a proven track record designing and optimizing CI/CD pipelines with cloud-native and open-source tools.
  • Containerization & Orchestration - experience managing platforms like Kubernetes, Docker, ECS/EKS (multi-cloud preferred).
  • Infrastructure as Code (IaC) experience - 3+ years' experience in Terraform, with exposure to related monitoring/deployment tools such as Dynatrace, Splunk.
  • 6+ years' experience in product and lifecycle management with experience leading product or service delivery.
  • 6+ years' experience as a technical program or project manager which should include structured planning, reporting, and risk management responsibilities.
  • 6+ years' experience in requirements documentation (FSDs), mapping business needs to technical solutions, and stakeholder communications.
  • 6+ years' experience with Git workflows, GitHub/GitLab automation, and best practices for source control.
  • 6+ years' experience driving proactive collaboration between PMOs, executives, technical partners, and DevOps teams.
  • Bachelor's degree in computer science, software engineering, information technology or a related field.
  • Ability to travel up to 50% of the time, based on the work you do and the clients and industries/sectors you serve.
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Qualifications - Preferred Skills and Experience:

  • Strong fluency in Python scripting for automation, integrations, and tooling customization.
  • Release Train Engineering (RTE): Experience in environment oversight, migration, release management, and roadmap coordination in scaled agile settings.
  • 5+ years' experience in Cloud Program Management with hands-on expertise with cloud infrastructure provisioning and automation (AWS, Azure, GCP).
  • 5+ years' experience with DevSecOps including automated security assessment, remediation, and compliance in CI/CD pipelines and cloud environments.
  • Multi-Platform Cloud Integration experience, bridging AWS, Azure, and GCP platforms for modernization or migration projects.
  • Incident management and backlog oversight experience with skills around production support, incident resolution, and backlog refinement.
  • Knowledge of designing, securing, and implementing APIs for automating business and compliance processes.
  • Agile delivery experience, scrum certification, proficiency in Jira/Confluence, user story creation, requirements gathering, and backlog management.

Wages and 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 $116,200 to $229,100. 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, the individual, and organizational performance.

Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html

Qualifications:

Delivery Management Engineer III- 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 businesses. 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.

Recruiting for this role ends on 10/1/2026.

Work You'll Do

As a Delivery Management Engineer III, you will have hands-on technical skills as well as program and project management experience to drive technical projects and programs working directly with our onshore and offshore development and engineering teams. You'll bring a mix of hands-on technical expertise with the ability to drive projects to completion managing onshore and offshore teams. You will work directly with engineering teams, assisting with product and service delivery for AI, GenAI, and Cloud platform programs. You'll have full life-cycle project experience with specific technical skills enabling you to be a valued technical member of our engineering teams. You will manage small projects or workstreams of larger projects.

  • Product & Service Lifecycle Management: you will work with our product or service delivery teams for AI, GenAI, and Cloud platform programs; engaging with engineering teams.
  • CI/CD Pipeline Design & Automation: you will design and optimize CI/CD pipelines with cloud-native and open-source tools.
  • Technical Project/Program Management: you will help manage technical programs/projects with your structured planning, reporting, and risk management skills.
  • Requirements Management / Business Analysis: you will handle requirements documentation (FSDs), mapping business needs to technical solutions, and stakeholder communications.
  • Containerization & Orchestration: you will managing platforms like Kubernetes, Docker, ECS/EKS (multi-cloud preferred).
  • Stakeholder Communication & Leadership: you will drive proactive collaboration between PMOs, executives, technical partners, and DevOps teams.

Qualifications - Required Skills and Experience

  • 6+ years' experience in CI/CD pipeline design and automation with a proven track record designing and optimizing CI/CD pipelines with cloud-native and open-source tools.
  • Containerization & Orchestration - experience managing platforms like Kubernetes, Docker, ECS/EKS (multi-cloud preferred).
  • Infrastructure as Code (IaC) experience - 3+ years' experience in Terraform, with exposure to related monitoring/deployment tools such as Dynatrace, Splunk.
  • 6+ years' experience in product and lifecycle management with experience leading product or service delivery.
  • 6+ years' experience as a technical program or project manager which should include structured planning, reporting, and risk management responsibilities.
  • 6+ years' experience in requirements documentation (FSDs), mapping business needs to technical solutions, and stakeholder communications.
  • 6+ years' experience with Git workflows, GitHub/GitLab automation, and best practices for source control.
  • 6+ years' experience driving proactive collaboration between PMOs, executives, technical partners, and DevOps teams.
  • Bachelor's degree in computer science, software engineering, information technology or a related field.
  • Ability to travel up to 50% of the time, based on the work you do and the clients and industries/sectors you serve.
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Qualifications - Preferred Skills and Experience:

  • Strong fluency in Python scripting for automation, integrations, and tooling customization.
  • Release Train Engineering (RTE): Experience in environment oversight, migration, release management, and roadmap coordination in scaled agile settings.
  • 5+ years' experience in Cloud Program Management with hands-on expertise with cloud infrastructure provisioning and automation (AWS, Azure, GCP).
  • 5+ years' experience with DevSecOps including automated security assessment, remediation, and compliance in CI/CD pipelines and cloud environments.
  • Multi-Platform Cloud Integration experience, bridging AWS, Azure, and GCP platforms for modernization or migration projects.
  • Incident management and backlog oversight experience with skills around production support, incident resolution, and backlog refinement.
  • Knowledge of designing, securing, and implementing APIs for automating business and compliance processes.
  • Agile delivery experience, scrum certification, proficiency in Jira/Confluence, user story creation, requirements gathering, and backlog management.

Wages and 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 $116,200 to $229,100. 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, the individual, and organizational performance.

Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html

Education:Bachelor's DegreeEmployment Type:

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