AI DevOps Engineer

Lingarogroup; Poland; On-site; PLN 200,000 - 320,000; Full time

Job summary

Lingarogroup seeks a Lead AI DevOps Engineer to oversee design and delivery of advanced AI/ML/GenAI solutions. You will guide architecture, deploy at scale, and drive automation in a cloud-centric environment, focusing on secure and scalable Azure infrastructures.

You will mentor teams, coordinate cross-functional workstreams, and ensure alignment with business outcomes while optimizing costs and governance across environments.

Qualifications

• 5+ years in DevOps/Cloud Engineering with AI/ML/GenAI projects.
• Experience deploying LLMs/SLMs at scale and model serving.
• Expert Linux/macOS admin; Windows a plus.
• Advanced Python and scripting for automation/integration.
• IaC (Terraform, Ansible) and CI/CD (Azure DevOps, GitHub Actions, Jenkins).
• Strong Azure, Kubernetes, and enterprise AI/ML platforms.
• Delivery of secure, production-ready GenAI solutions.
• Familiar with monitoring, observability and FinOps.

Responsibilities

• Lead architecture and deployment of AI/ML/GenAI solutions at scale.
• Automate infrastructure, model lifecycle and inference pipelines.
• Oversee CI/CD processes for AI/ML/GenAI workloads.
• Design secure, scalable Azure-focused cloud infrastructure.
• Act as technical advisor for stakeholders and clients.
• Mentor engineers and promote GenAI best practices.
• Coordinate cross-functional teams to align AI delivery with business goals.
• Ensure cost optimization, monitoring and compliance across environments.

Skills

DevOps

AI/ML GenAI

Leadership

Python scripting

CI/CD

Azure

Kubernetes

Terraform

Ansible

Cloud security

FinOps

Observability

English fluency

Mentoring

Tools

Azure DevOps

GitHub Actions

Jenkins

Terraform

Ansible

Linux/macOS

PowerShell

Job description

Seeking a Lead AI DevOps Engineer to oversee design and delivery of advanced AI/ML/GenAI solutions. The role combines cloud engineering and automation with hands‑on leadership in deploying and integrating LLM/SLM models into enterprise applications, ensuring security, scalability, and operational excellence.

Tasks:

The person will act as a senior member of the Data Science & AI Competency Center, AI Engineering team, guiding delivery and coordinating workstreams.

• Leading architecture and deployment of AI/ML/GenAI solutions (LLM/SLM at scale).
• Driving automation of infrastructure, model lifecycle and inference pipelines.
• Overseeing CI/CD processes for AI/ML/GenAI workloads.
• Designing secure, scalable cloud infrastructures (Azure-focused).
• Acting as technical advisor for stakeholders and client-facing solution design.
• Mentoring engineers, promoting best practices, and fostering innovation in GenAI adoption.
• Coordinating cross-functional teams to align AI engineering with business outcomes.
• Ensuring cost optimization, monitoring and compliance across environments.

What We’re Looking For:

• 5+ years in DevOps/Cloud Engineering with AI/ML/GenAI project experience.
• Proven experience deploying LLMs/SLMs (model serving, inference optimization, RAG, GenAI apps).
• Expert proficiency in Linux and macOS administration; Windows a plus.
• Advanced Python and scripting (Bash/PowerShell) for automation and integration.
• Deep knowledge of IaC (Terraform, Ansible) and CI/CD (Azure DevOps, GitHub Actions, Jenkins).
• Strong expertise in Azure cloud, Kubernetes, and enterprise AI/ML platforms.
• Track record in delivering secure, production-ready solutions for AI/ML/GenAI.
• Familiarity with monitoring, observability and FinOps practices.
• Excellent leadership, communication and mentoring skills.
• Fluency in written and spoken English.