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Ai Reliability Engineer Jobs in Madison, AL (NOW HIRING)

MbSolutions Inc

Digital AI Development Engineer

Huntsville, AL · On-site

$90K - $124K/yr

... reliability, and securityCollaborate with cross-functional teams to identify requirements and deliver AI solutions tailored to business needsOptimize AI workflows for performance and efficiency ...

Camgian Corporation

DevSecOps Architect

Huntsville, AL · On-site

The architect modernizes CI/CD, DevSecOps, MLOps, Kubernetes, and AI engineering capabilities while ... , platform, or automation experience. * 5+ years in cloud architecture, DevSecOps, or platform ...

Camgian Corporation

DevSecOps Architect

Huntsville, AL · On-site

The architect modernizes CI/CD, DevSecOps, MLOps, Kubernetes, and AI engineering capabilities while ... , platform, or automation experience. * 5+ years in cloud architecture, DevSecOps, or platform ...

Parsons

AI Engineer with Security Clearance

Huntsville, AL · On-site

$134K - $241K/yr

Advise on AI engineering considerations such as latency, reliability, observability, testability, guardrails, data flow, and system integration. * Evaluate and compare modern AI frameworks, agentic ...

Anduril Industries

Systems Engineer

Huntsville, AL · On-site

Anduril's family of systems is powered by Lattice OS, an AI-powered operating system that turns ... Basic knowledge of reliability engineering concepts and practices. * Experience with systems ...

Anduril Industries

Systems Engineer

Huntsville, AL · On-site

Anduril's family of systems is powered by Lattice OS, an AI-powered operating system that turns ... Basic knowledge of reliability engineering concepts and practices. * Experience with systems ...

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Showing results 21-40

All JobsAi Reliability Engineer JobsAi Reliability Engineer Jobs in Madison, AL

Ai Reliability Engineer information

See Madison, AL salary details

$54.7K

$105.7K

$126.3K

How much do ai reliability engineer jobs pay per year?

As of Aug 13, 2026, the average yearly pay for ai reliability engineer in Madison, AL is $105,700.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,800.00 and $115,600.00 per year, depending on experience, location, and employer.

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 job categories do people searching Ai Reliability Engineer jobs in Madison, AL look for? The top searched job categories for Ai Reliability Engineer jobs in Madison, AL are:
What cities near Madison, AL are hiring for Ai Reliability Engineer jobs? Cities near Madison, AL with the most Ai Reliability Engineer job openings:
Ai Reliability Engineer jobs near you
Infographic showing various Ai Reliability Engineer job openings in Madison, AL as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 72% Physical, 3% Hybrid, and 25% Remote job distribution, with an average salary of $105,700 per year, or $50.8 per hour.

Digital AI Development Engineer

MbSolutions Inc

Huntsville, AL • On-site

$90K - $124K/yr

Full-time

Re-posted 11 days ago

Job description

Mb Solutions Inc. is looking for an amazingly talented Digital AI Development Engineer to join our team! In this role you will be part of Parsons' Federal Solutions team providing Systems Engineering Technical Assistance to the Ground-based Midcourse Dense (GMD) Product Office under the Teams-Next Missile Defense Systems Engineering (TN-MDSE) contract managed by the Missile Defense Agency. What You'll Be Doing:Design and implement AI pipelines for data ingestion, processing, and model deployment using frameworks like LangChain and Open WebUIDevelop and manage embeddings databases to support semantic search, recommendation systems, and other AI-driven applicationsIntegrate AI solutions with cloud platforms such as Azure Foundry to ensure scalability, reliability, and securityCollaborate with cross-functional teams to identify requirements and deliver AI solutions tailored to business needsOptimize AI workflows for performance and efficiency, ensuring seamless integration with existing systemsStay updated on the latest advancements in AI tools, frameworks, and methodologies to continuously improve pipeline performanceDocument processes, workflows, and best practices for AI pipeline development and maintenanceWhat Required Skills You'll Bring:Bachelor's degree in Computer Science, Engineering, or a related STEM field3+ years of related work experienceWorking understanding of AI pipelines, including data processing, model deployment, and integrationActive Secret ClearanceUnderstanding of frameworks such as LangChain, Open WebUI, and embeddings databasesStrong programming skills in Python or similar languages, with a focus on AI and data processing librariesAbility to work independently while collaborating effectively with team members.Excellent problem-solving skills and attention to detail What Desired Skills You'll Bring:Experience with cloud platforms like AWS, Bedrock, SageMaker, or Azure Foundry for AI solution deploymentFamiliarity with semantic search and recommendation systemsKnowledge of distributed systems and scalable architectures for AI pipelinesExperience with containerization tools like Docker and orchestration platforms like KubernetesUnderstanding of MLOps practices for continuous integration and deployment of AI modelsStrong written and verbal communication skills to document and present technical solutionsSolid understanding of full-stack development principles, including front-end technologies (HTML, CSS, JavaScript, React, Angular, or Vue.js) and back-end technologies (Python, Node.js, Java, Go) with relevant frameworks (Django, Express.js, Spring Boot, Gin)Experience in designing, implementing, and managing relational (MySQL, PostgreSQL) or NoSQL (Mongo DB) databasesExperience developing and consuming RESTful APIsDemonstrated ability to build and maintain CI/CD pipelines using tools like Jemkins, GitLab CI, CircleCI, or similar, and integrating Terraform and Ansible for automated deploymentsExperience with cloud monitoring and logging tools (such as Prometheus, Grafana, ELK Stack, CloudWatch, Azure Monitor, Google Cloud Logging)Understanding of software architecture patterns, design principles, and security best practices for cloud environments and web applicationsStrong troubleshooting and problem-solving skills across the entire technology stackExperience working in an Agile development environment and collaborating effectively with cross-functional teamsAbility to clearly and concisely document infrastructure, configurations, and deployment processesExperience with Linux and/or Windows system administrationMotivated and customer oriented
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