Generative AI Systems Architect

New

Opportunity to work remotely within PolandFull-TimeSenior

Salary not disclosed

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Job Details

Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent experience.
1+ years in architecture roles involving cloud, data, or production Generative AI/LLM systems.
Knowledge of cloud platforms (Azure, AWS, GCP).
Experience with IaC tools (Terraform, Bicep, CDK, CloudFormation).
Competency in containerization and orchestration technologies (Docker, Kubernetes).
Experience with API gateways/service meshes.
Proficiency in CI/CD and release management for ML/LLM workloads (Jenkins, GitHub Actions, GitLab CI, Azure DevOps).
Understanding of LLM platforms like Azure AI Foundry, Azure OpenAI, AWS Bedrock, or Google Vertex AI.
Familiarity with security-by-design principles and compliance frameworks tailored to GenAI systems.
Advanced proficiency in English (B2+/C1).

Design enterprise generative AI reference architectures, blueprints, and reusable patterns.
Define multi-cloud platform foundations addressing networking, identity, and secrets management.
Lead efforts in LLMOps/ModelOps, focusing on model evaluation, safety, observability, and rollout strategies.
Create frameworks and governance for agentic systems, including tool governance and the Model Context Protocol (MCP).
Ensure systems comply with security, risk, and compliance standards, with Responsible AI principles and PII controls applied.
Establish strategies for cost efficiency, reliability, and performance using capacity planning and FinOps techniques.
Improve developer experience through CI/CD pipelines, golden paths, templates, and Infrastructure as Code (IaC) techniques.
Collaborate with cross-functional teams to align system requirements with strategic objectives.

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