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Ai Reliability Engineer Jobs in Alabama (NOW HIRING)

Infrastructure / DevOps Engineer

Birmingham, AL · On-site +1

$49.50 - $67.75/hr

Transform9 builds AI agents that answer every call for physician practices - scheduling ... Grow the SRE practice: runbooks, incident response playbooks, chaos engineering, and reliability ...

Infrastructure / DevOps Engineer

Birmingham, AL · On-site +1

$49.50 - $67.75/hr

Transform9 builds AI agents that answer every call for physician practices - scheduling ... Grow the SRE practice: runbooks, incident response playbooks, chaos engineering, and reliability ...

Lead Cloud Architect

Birmingham, AL · On-site +1

$61 - $77.50/hr

... AI) to create "Paved Roads" for seamless cloud consumption and advanced platforms like Azure ... Ideal for a seasoned Azure specialist excited by cloud-native SRE at scale; your work will ...

Lead Cloud Architect

Birmingham, AL

$61 - $77.50/hr

... AI) to create "Paved Roads" for seamless cloud consumption and advanced platforms like Azure ... Ideal for a seasoned Azure specialist excited by cloud-native SRE at scale; your work will ...

AI Engineer

Huntsville, AL · On-site

$130K - $141K/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 ...

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

AI Engineer

Huntsville, AL · On-site

$130K - $141K/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 ...

On-Site Description Seeking an AI Engineer with a strong background in data analytics and product ... Conduct ongoing maintenance to ensure accuracy and reliability. * Work with cross-functional teams ...

Job Title AI ENGINEER Location Huntsville, AL 35806 US (Primary) Category Engineering Job Type ... reliability, observability, testability, guardrails, data flow, and system integration. • ...

Collaborate with data engineering teams to optimize data infrastructure. * Support AI product ... Conduct ongoing maintenance to ensure accuracy and reliability. * Work with cross-functional teams ...

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

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

Collaborate with data engineering teams to optimize data infrastructure. * Support AI product ... Conduct ongoing maintenance to ensure accuracy and reliability. * Work with cross-functional teams ...

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

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

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

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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 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 Alabama? For Ai Reliability Engineer jobs in Alabama, the most frequently searched job titles are:
What job categories do people searching Ai Reliability Engineer jobs in Alabama look for? The top searched job categories for Ai Reliability Engineer jobs in Alabama are:
What cities in Alabama are hiring for Ai Reliability Engineer jobs? Cities in Alabama with the most Ai Reliability Engineer job openings:
Infrastructure / DevOps Engineer

Infrastructure / DevOps Engineer

Transform9

Birmingham, AL • On-site, Remote

$49.50 - $67.75/hr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 18 days ago


Job description

Calling your doctor shouldn't be harder than seeing your doctor. But at most practices, patients wait on hold, front-office staff drown in ring queues, and revenue walks out the door with every missed call.
Transform9 builds AI agents that answer every call for physician practices - scheduling appointments, routing callers, and resolving routine requests in seconds, around the clock. Our agents integrate directly with each practice's EHR, practice management, and phone systems, and adapt to how their front office actually works.
Our agents have handled millions of patient calls for thousands of providers, cut average hold times by 90%, and decreased call abandonment by 80%. We're headquartered in Birmingham, AL, and growing fast.
About the role
Transform9's platform handles real patient calls around the clock. The infrastructure has to be reliable, scalable, and secure - there is no acceptable downtime. As our Infrastructure / DevOps Engineer, you'll own the AWS infrastructure that runs the platform, build and maintain the CI/CD pipelines that ship it, and grow into a Site Reliability function as the team scales. This role is for someone who thinks in systems, automates everything, and takes platform reliability personally.
What you'll do
  • Design, build, and manage AWS infrastructure for a real-time, high-availability voice AI platform
  • Own CI/CD pipelines - build, test, deploy, and rollback automation across all environments
  • Define and implement infrastructure-as-code using Terraform, CDK, or equivalent
  • Monitor platform health, define SLOs/SLAs, and build alerting and observability tooling
  • Respond to and lead resolution of infrastructure-level incidents; drive post-mortems
  • Harden infrastructure for HIPAA compliance - encryption, access controls, audit logging, and network security
  • Partner with engineering teams to optimize system performance, cost, and scalability
  • Grow the SRE practice: runbooks, incident response playbooks, chaos engineering, and reliability reviews

Location
Remote (US). If you're in the Birmingham, AL area, this role is hybrid from our office (3 days in office / 2 remote).
Requirements
  • 5+ years in infrastructure, DevOps, or cloud engineering roles
  • Deep hands-on AWS experience (ECS/EKS, Lambda, RDS/Aurora, S3, VPC, IAM, CloudWatch, and related services)
  • Proficiency with infrastructure-as-code (Terraform preferred)
  • Strong CI/CD pipeline experience (GitHub Actions, Jenkins, or equivalent)
  • Solid understanding of networking, security groups, load balancing, and DNS
  • Experience with container orchestration (Docker, Kubernetes, or ECS)
  • Familiarity with observability tooling (Datadog, Grafana, CloudWatch, or equivalent)
  • Understanding of HIPAA infrastructure requirements (encryption at rest/in transit, audit trails, access controls)

Nice to have
  • Site Reliability Engineering background or formal SRE experience
  • Experience supporting real-time or high-throughput systems (voice, streaming, or similar)
  • AWS certifications (Solutions Architect, DevOps Engineer, or SysOps)
  • Experience with multi-region or active-active deployment architectures
  • Database administration or performance tuning experience

Benefits
  • Top-tier health coverage: medical, dental & vision
  • 401(k)
  • Paid time off + holidays, and paid parental leave

If you want to fix the front door of healthcare, we'd love to hear from you.
Transform9 is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.
Note: the Transform9 team will only email you from a transform9.com email address.