Lead AI DevOps Engineer

apartmentC&D Talent Advisory placeWarszawa business_center288 000 zł - 316 800 zł/rok calendar_month21.03.2026

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...

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