Lead AI DevOps Engineer | LLM Deployment & Cloud (Azure)

Remote | Poland PLN 288,000 – 316,800 / year AI | GenAI | MLOps | Azure Snapshot Join a leading data & AI consultancy delivering enterprise-grade AI/ML/GenAI solutions , with a strong focus on forecasting, analytics, and AI transformation . This role sits at the intersection of AI engineering + DevOps leadership , driving the deployment and scaling of LLMs/SLMs in production environments . This is not traditional DevOps — this is owning AI infrastructure, automation, and delivery at scale . Ideal Candidate Profile Has deployed LLMs/SLMs from scratch (not just API usage) Thinks in systems, automation, and scalability Comfortable with: Leadership Stakeholder communication Mentoring engineers Strong balance of hands-on + strategic thinking What You'll Do Lead architecture and deployment of AI/ML/GenAI systems (LLMs/SLMs) Build and automate: Infrastructure (IaC) Model lifecycle pipelines Inference workflows Design secure, scalable Azure-based environments Own CI/CD pipelines for AI workloads Drive cost optimization, monitoring, and compliance Mentor engineers and elevate AI DevOps best practices Act as technical advisor to stakeholders and clients Tech Stack Azure, Kubernetes Terraform, Ansible Python, Bash / PowerShell CI/CD (Azure DevOps, GitHub Actions, Jenkins) Linux, macOS What We're Looking For 5+ years in DevOps / Cloud Engineering Proven hands-on experience: AI/ML/GenAI systems Deploying LLMs/SLMs in production (non-negotiable) Strong Azure expertise Advanced scripting (Python + Bash/PowerShell) Deep knowledge of: IaC (Terraform / Ansible) CI/CD pipelines Experience with Kubernetes & scalable systems Bonus: Azure certifications Consulting / client-facing experience Mentoring or leadership experience Cost optimization in AI workloads Compensation & Benefits PLN 288,000 – 316,800 annually 110+ trainings + Udemy access Strong internal mobility (76% of managers promoted internally) Workation policy + flexible work model Inclusive, DEI-driven culture Location & Eligibility Remote within Poland Must be based in Poland Must have valid work authorization No visa sponsorship Why This Role Lead end-to-end AI/ML/GenAI deployments (LLMs/SLMs in production) Combine cloud architecture + automation + AI systems Act as a technical advisor and mentor across teams Work in a stable yet innovation-driven environment Strong learning culture with structured upskilling and internal mobility If you're ready to lead the deployment of real-world AI systems — combining cloud, automation, and LLM infrastructure at scale — this is where you define the next generation of AI engineering. Apply now...