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Ai Reliability Engineer Jobs in Indiana (NOW HIRING)

Reliability Field Engineer

Indianapolis, IN ยท On-site

$98K - $123K/yr

As a Reliability Field Engineer, you are an integral part of our Operational Readiness team. You ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Reliability Field Engineer

Indianapolis, IN ยท On-site

$36.40 - $47.30/hr

As a Reliability Field Engineer, you are an integral part of our Operational Readiness team. You ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Reliability Field Engineer

Indianapolis, IN ยท On-site

$36.40 - $47.30/hr

As a Reliability Field Engineer, you are an integral part of our Operational Readiness team. You ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Reliability & HVAC Engineer

Clinton, IN

$96K - $121K/yr

Manufacturing Reliability & HVAC Engineer As a Manufacturing Reliability & HVAC Engineer , you will ... AI, to support parts of our recruitment process, such as reviewing applications against jobrelated ...

Candidates' focus will be Gen-AI-driven enterprise test automation, quality insights, performance engineering, data-validation frameworks, and tight collaboration with Site Reliability Engineering to ...

$170K - $200K/yr

Drive modernization across cloud connectivity, observability, security, and AI-assisted development without compromising legacy stability. * Uncompromising Quality & SRE: Define and enforce rigorous ...

... reliability patterns). * 2+ years leading platform/integration engineering to improve ... AI Engineer Consultant Our Deloitte Human Capital team transforms technology platforms, drives ...

AI Engineer Senior Consultant

Indianapolis, IN ยท Hybrid

$99K - $137K/yr

Establish data/model reliability and cost-performance discipline (data quality, schema evolution ... AI Engineer Senior Consultant Our Deloitte Human Capital team transforms technology platforms ...

Our goal is to improve all aspect of our infrastructure availability and reliability through ... AI/ML acceleration, Infrastructure AI OPS automation, cloud IaaS management, and cloud ...

Senior AI Engineer

South Bend, IN ยท On-site +1

$102K - $140K/yr

Senior AI Engineer 1 About Crowe Studio Crowe Studio is a business unit dedicated to helping ... Architect distributed training and model evaluation workflows that improve reliability and accuracy

Senior AI Engineer

Indianapolis, IN ยท On-site +1

$99K - $137K/yr

Senior AI Engineer 1 About Crowe Studio Crowe Studio is a business unit dedicated to helping ... Architect distributed training and model evaluation workflows that improve reliability and accuracy

AI Data Engineer - Senior Consultant

Indianapolis, IN ยท Hybrid

$99K - $137K/yr

Establish data/model reliability and cost-performance discipline (data quality, schema evolution ... AI Engineer Senior Consultant Our Deloitte Human Capital team transforms technology platforms ...

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Showing results 1-20

Ai Reliability Engineer information

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

To thrive as an AI Reliability Engineer, you need a solid background in computer science or engineering, expertise in AI/ML concepts, and experience with software testing and reliability methodologies. Familiarity with tools like TensorFlow, PyTorch, CI/CD pipelines, and reliability testing frameworks, along with certifications in cloud platforms (e.g., AWS Certified Machine Learning), is highly valuable. Analytical thinking, problem-solving abilities, and strong collaboration skills set top performers apart in this role. These skills ensure robust, dependable AI systems that meet performance standards and maintain trust in critical applications.

What is the difference between Ai Reliability Engineer vs Data Scientist?

AspectAi Reliability EngineerData Scientist
Required CredentialsBachelor's or master's in CS, engineering, or related; certifications in AI/MLBachelor's or master's in CS, statistics, or related; certifications in data analysis or ML
Work EnvironmentTech companies, AI-focused teams, engineering departmentsResearch labs, tech firms, analytics teams
Employer & Industry UsageAI product development, machine learning systems, reliability testingData analysis, predictive modeling, business insights

While both roles involve AI and ML, Ai Reliability Engineers focus on ensuring AI system robustness and uptime, whereas Data Scientists analyze data to generate insights and models. The roles often collaborate but serve different primary functions within AI projects.

What are AI Reliability Engineers?

AI Reliability Engineers are professionals responsible for ensuring that artificial intelligence systems function reliably, safely, and effectively over time. They work on monitoring AI models in production, identifying and mitigating potential failures, and improving the robustness of AI systems. Their tasks often include testing, validation, performance monitoring, and implementing best practices for maintaining AI infrastructure. By focusing on reliability, they help organizations deploy AI solutions that are dependable and trustworthy in real-world environments.

What is a $900,000 AI job?

A $900,000 AI job typically refers to highly senior roles such as AI executives, chief AI officers, or lead AI engineers at top technology companies, often involving advanced expertise in machine learning, deep learning, and AI strategy. These positions usually require extensive experience, specialized skills, and may include performance-based bonuses or stock options that contribute to the high total compensation.

What are some common challenges Ai Reliability Engineers face when ensuring model robustness in production environments?

Ai Reliability Engineers often encounter challenges such as monitoring AI model performance for drift or unexpected behavior, managing data quality issues, and implementing automated alerting systems for anomalies. In production, it's crucial to ensure that AI models operate consistently and remain reliable under varying conditions and data inputs. Collaborating closely with data scientists, software engineers, and DevOps teams is essential to address these challenges and to continuously improve model reliability and uptime.
What are popular job titles related to Ai Reliability Engineer jobs in Indiana? For Ai Reliability Engineer jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Ai Reliability Engineer jobs in Indiana look for? The top searched job categories for Ai Reliability Engineer jobs in Indiana are:
What cities in Indiana are hiring for Ai Reliability Engineer jobs? Cities in Indiana with the most Ai Reliability Engineer job openings:

Senior Software Engineer- Site Reliability

Spgi

Union City, IN โ€ข On-site

$52 - $69/hr

Full-time

Medical, Retirement

Posted 2 hours ago


Job description

About the Role:

Grade Level (for internal use):

03

Who We Are

Kensho is S&P Global's hub for AI innovation and transformation. With expertise in Machine Learning and data discovery, we develop and deploy novel solutions for S&P Global and its customers worldwide. Our solutions help businesses harness the power of data and Artificial Intelligence to innovate and drive progress. Kensho's solutions and research focus on Generative AI, LLM Agents, speech recognition, entity linking, document extraction, text classification, natural language processing, and more.

At Kensho, we hire talented people and give them the autonomy and support needed to build amazing technology and products. We collaborate using our teammates' diverse perspectives to solve hard problems. Our communication with one another is open, honest, and efficient. We dedicate time and resources to explore new ideas, but always rooted in engineering best practices. As a result, we can innovate rapidly to produce technology that is scalable, robust, and useful.

About the Role

As a Senior Site Reliability Engineer (SRE) at Kensho, you will be a hands-on technologist who combines strong infrastructure expertise with solid software engineering skills Python first. You will be responsible for ensuring the reliability, scalability, and security of both business-critical internal systems and external, customer facing services.

You will work closely with Infrastructure, Application, and Security teams to design resilient systems, automate operations, and continuously improve platform stability. This role requires deep ownership of production systems, strong troubleshooting skills across infrastructure, Container orchestration systems, networking, and applications, and comfort operating in a 24/7 on call environment.

What You'll Do

  • Own and operate production services supporting critical financial applications with a strong focus on availability, performance, and reliability
  • Design, build, and manage AWS infrastructure, including EKS-based clusters, across lower and production environments
  • Provision and manage infrastructure using Terraform (Infrastructure as Code) with a strong automation first mindset
  • Deploy, scale, and troubleshoot applications running on like Kubernetes, including cluster creation, upgrades, and lifecycle management
  • Build and maintain automation frameworks and tooling Python based to reduce operational toil and prevent recurring incidents
  • Monitor system health using metrics, logs, and alerts; continuously tune alerts, dashboards, and runbooks
  • Troubleshoot complex issues spanning clusters, networking, certificates, deployments, and application behavior
  • Manage certificate lifecycle and expiration, ensuring secure and uninterrupted service operation
  • Collaborate with InfoSec, Vulnerability Management, and Network Security teams (e.g., Zscaler) to maintain a strong security posture
  • Collaborate with L1/L2 teams, helping them understand infrastructure and operational best practices
  • Participate in on call and lead incident response, drive root cause analysis, and ensure effective post-incident remediation and learnings
  • Identify architectural anti-patterns and drive improvements by reviewing new services for production readiness, resiliency, and secure design prior to release
  • Establish and enforce production readiness standards, including deployment strategies, rollback plans, and observability requirements
  • Optimize infrastructure cost and resource utilization without compromising reliability and performance

What We Look For

  • 6+ years of experience in SRE, DevOps, Platform, or Infrastructure Engineering roles
  • Strong software engineering background, with hands-on Python development used for automation, tooling, and system reliability
  • Experience building or supporting scalable, distributed systems in production
  • Deep experience with AWS cloud environments, including AWS, IAM, networking, and access controls
  • Strong hands-on expertise with similar tools like Kubernetes (EKS preferred): cluster creation, deployments, scaling, and troubleshooting
  • Solid understanding of networking fundamentals (VPCs, routing, DNS, load balancing, security groups)
  • Experience with CI/CD pipelines, deployment tools, and infrastructure automation
  • Working knowledge of databases and query optimization, and understanding how applications behave under load
  • Familiarity with similar tools like Kafka or other messaging systems
  • Comfortable conducting code reviews and participating in coding focused interviews
  • Strong operational mindset with experience in incident management and oncall rotations
  • Clear communicator and collaborative teammate who values documentation and knowledge sharing

How to Really Get Our Attention

  • Demonstrated ownership of largescale, production systems
  • Strong examples of Python based automation or internal tooling
  • Contributions to opensource projects, infrastructure platforms, or reliability tooling
  • Experience working closely with security and compliance teams in regulated environments

Technologies We Like

  • AWS, Amazon EKS, Terraform, Jsonnet
  • Similar tools like Kubernetes, Helm, CI/CD tooling
  • Python (automation, tooling, reliability engineering)
  • Prometheus, Grafana, logging and monitoring platforms
  • PostgreSQL and other production databases
  • Similar tools like Kafka or event driven systems
  • Linux (Ubuntu or similar)

What's In It For You?

Our Mission:

Advancing Essential Intelligence.

Our People:

We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Join us and help create the critical insights that truly make a difference.

Our Values:
Integrity, Discovery, Partnership


Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals.
Benefits:

We take care of you, so you cantake care of business. We care about our people. That's why we provide everything you-and your career-need to thrive at S&P Global.
Our benefits include:

  • Health & Wellness: Health care coverage designed for the mind and body.

  • Flexible Downtime: Generous time off helps keep you energized for your time on.

  • Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.

  • Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.

  • Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.

  • Beyond the Basics: From retail discounts to referral incentive awards-small perks can make a big difference.

For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries

Global Hiring and Opportunity at S&P Global:

At S&P Global, we are committed to fostering a connected andengaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets.

Recruitment Fraud Alert:

If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported toreportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, "pre-employment training" or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activityhere.

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Equal Opportunity Employer

S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment.

If you need an accommodation during the application process due to a disability, please send an email to:EEO.Compliance@spglobal.comand your request will be forwarded to the appropriate person.
US Candidates Only:Know Your Rights: Workplace discrimination is illegal

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20 - Professional (EEO-2 Job Categories-United States of America), BSMGMT203 - Entry Professional (EEO Job Group)