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Ai Reliability Engineer Jobs in Connecticut (NOW HIRING)

Working closely with our SRE team to ensure deployed systems are reliable, resilient, scalable, and ... Experience with AI tooling for code creation, reviews, testing and related software development ...

Senior Staff AI Data Engineer

Hartford, CT · On-site +1

$106K - $145K/yr

Implement reliability engineering best practices, including fault tolerance, redundancy, and ... Lead the development of AI-ready data foundations that support scalable, production-grade solutions

... E methodologies. • Angular. • React. • Node.js. • Python. • Streamlit. • C#. • .NET Core. • Golang. • SQL. • NoSQL. • CI/CD. • DevSecOps. Preferred : • 3+ years with AI/ML ...

The AI Principal Engineer (IC Director) is responsible for leading the design, development, and ... Deep understanding of model lifecycle management, MLOps practices, and production reliability ...

The AI Principal Engineer (IC Director) is responsible for leading the design, development, and ... Deep understanding of model lifecycle management, MLOps practices, and production reliability ...

Job Summary The AI Engineer is responsible for designing, developing, implementing, and supporting ... Monitor implemented AI solutions for performance, reliability, usage, cost, quality, and business ...

Data Analytics Engineer (AI)

Stamford, CT

$122K - $146K/yr

Enhance reliability, security, and compliance of AI systems Required * Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related field * 5+ years of experience in Data ...

Data Analytics Engineer (AI)

Stamford, CT · On-site

$122K - $146K/yr

Enhance reliability, security, and compliance of AI systems Required * Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related field * 5+ years of experience in Data ...

Integrate LLM applications into services/APIs and ensure performance, reliability, and scalability ... AI/ML engineering. * 2+ years of hands-on experience with deep learning for NLP/GenAI. * Strong ...

AI/ML Lead Engineer

Stamford, CT

$109K - $143K/yr

... seeking an AI/ML Lead Engineer to design and implement agents for financial advisors that ... Optimize systems for latency, cost efficiency, and reliability in production * Contribute to ...

AI Engineer

Hartford, CT · On-site

$115K - $138K/yr

... reliability, and scalability, while providing guidance to team members in best practices. • ... Required Skill and Experience Strong programming skills in Python Hands-on experience with AI/ML ...

AI/ML Lead Engineer

Stamford, CT · On-site

$109K - $143K/yr

... seeking an AI/ML Lead Engineer to design and implement agents for financial advisors that ... Optimize systems for latency, cost efficiency, and reliability in production * Contribute to ...

Showing results 21-40

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 is an AI reliability engineer?

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 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 Connecticut? For Ai Reliability Engineer jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Ai Reliability Engineer jobs in Connecticut look for? The top searched job categories for Ai Reliability Engineer jobs in Connecticut are:
What cities in Connecticut are hiring for Ai Reliability Engineer jobs? Cities in Connecticut with the most Ai Reliability Engineer job openings:
Infographic showing various Ai Reliability Engineer job openings in Connecticut as of August 2026, with employment types broken down into 70% Full Time, and 30% Contract. Highlights an 90% In-person, and 10% Remote job distribution.

Software Engineer

NBCUniversal

Stamford, CT • Hybrid

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 17 days ago


Job description

Company Description

NBCUniversal is one of the world's leading media and entertainment companies. We create world-class content, which we distribute across our portfolio of film, television, and streaming, and bring to life through our global theme park destinations, consumer products, and experiences. We own and operate leading entertainment and news brands, including NBC, NBC News, NBC Sports, Telemundo, NBC Local Stations, Bravo, and Peacock, our premium ad-supported streaming service. We produce and distribute premier filmed entertainment and programming through our powerhouse film and television studios, including Universal Pictures, DreamWorks Animation, and Focus Features, and the four global television studios under the Universal Studio Group banner, and operate industry-leading theme parks and experiences around the world through Universal Destinations & Experiences, including Universal Orlando Resort, home to Universal Epic Universe, and Universal Studios Hollywood. NBCUniversal is a subsidiary of Comcast Corporation. Visit www.nbcuniversal.com for more information.

Our impact is rooted in improving the communities where our employees, customers, and audiences live and work. We have a rich tradition of giving back and ensuring our employees have the opportunity to serve their communities. We champion an inclusive culture and strive to attract and develop a talented workforce to create and deliver a wide range of content reflecting our world.

Job Description

The Media Group at NBCU supports a powerhouse collection of consumer-first brands including Peacock, NBC, Bravo, NBC Sports, and NBCU International. With unequalled scale, our teams make the most out of every opportunity to collaborate and learn from one another. We’re always looking for ways to innovate faster, accelerate our growth and consistently offer the very best in consumer experience. But most of all, we’re backed by a culture of respect. We embrace authenticity and inspire people to thrive.

About the role
As our Software Engineer, you’ll join the Content Delivery Engineering team (CDE) within NBCUniversal’s Global Video Engineering organization in New York City, USA. Your mission is to get involved with delivering outstanding VOD, live event, and linear streaming experiences to millions of viewers across our US, UK and EU services - including Peacock, SkyShowtime, NOW & WOW.   

You’ll collaborate daily with colleagues across the US, UK and beyond – excellent communication skills are essential. Our team specializes in large-scale Multi-Content Delivery Network design and operations, performance telemetry and analytics, selection & interfacing with content origins via multiple workflows - dynamic ad insertion, manifest manipulation and integrating new player technologies.

Responsibilities

  • Develop & maintain new and existing software systems & features as a Go and/or Python specialist, with projects primarily aligned to video content delivery at scale.
  • Ensure a consistent, diligent approach to peer review of code and configuration change within sensible, maintained repository structures and CI/CD pipelined deployment.  
  • Author design documents and collaborate with peers and stakeholders through design and code reviews to ensure best practice.
  • Working closely with our SRE team to ensure deployed systems are reliable, resilient, scalable, and perform optimally, using common, modern technologies.
  • Make best use of our observability systems & advanced analytics to surface issues, drive diagnosis and improvements.  
  • Effectively handle multiple priorities ensuring timely delivery of high-quality results in a fast-paced, agile environment.
Qualifications
  • Bachelor's degree in computer science, information technology, or a relevant field is required.
  • 3+ years of experience in software development, with expertise in Go and/or Python.
  • Proficiency with deploying software to cloud infrastructure (AWS, GCP) using containerization technologies (Kubernetes, Docker)
  • Skilled with using software repositories, CI/CD pipelines and test automation.  
  • Experience with Site Reliability Engineering (SRE) practices for ensuring scalability and reliability in cloud environments.  
  • Familiarity with Agile methodologies, eg scrum and kanban.   
  • A flair for communicating clearly via design document, text, voice and code to a wide variety of nationalities.
  • Knowledge and/or production exposure to using CDNs to deliver streaming media is advantageous or full training can be provided.
  • Experience with AI tooling for code creation, reviews, testing and related software development workflows

Hybrid: This position currently has a hybrid schedule, which requires contributing from the office a minimum of four days per week. The Company reserves the right to change in-office requirements at any time.

This position is eligible for company sponsored benefits, including medical, dental, and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other discounts and perks. Learn more about the benefits offered by NBCUniversal by visiting the Benefits page of the Careers website. Salary range: $105,000 - $145,000.


Additional Information

As part of our selection process, external candidates may be required to attend an in-person interview with an NBCUniversal employee at one of our locations prior to a hiring decision. NBCUniversal's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law.

If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to AccessibilitySupport@nbcuni.com.