Enterprise AI Platform Lead — Multi-Cloud Architect

Grid Dynamics

Kraków

On-site

PLN 250,000 - 360,000

Full time

9 days ago

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Benefits offered by this job

Bleeding-edge projects
Flexible schedule
Medical insurance
Sports
Corporate events
Professional development
Well-equipped office

Job summary

Grid Dynamics seeks a Lead AI Software Engineer to own the architecture of an enterprise AI platform for global clients. You will drive technical direction, guide senior engineers, and ensure secure, scalable multi-tenant deployments across clouds.

You will lead hands-on engineering, optimize costs and performance, and collaborate with product leadership to translate roadmaps into commitments. Excellent English communication is essential.

Qualifications

  • 8+ years of commercial software engineering in leadership roles (Tech Lead/Principal).
  • Shipping and operating LLM-based apps at scale with prompt engineering and RAG.
  • Deep expertise in multi-tenant architectures and data isolation/security considerations.
  • Strong backbone in distributed systems, security architecture, authn/authz (RBAC/ABAC).
  • Proficient Python; working knowledge of TypeScript/Node.js; PostgreSQL under heavy load.

Responsibilities

  • Lead and mentor a team of senior engineers; set technical standards and code reviews.
  • Own end-to-end platform architecture: agent orchestration, data models, caching, deployment topologies.
  • Design multi-tenant cloud foundations and SSO integrations (WorkOS) and policy engines (Cerbos).
  • Define guardrails for agent safety, cost control, routing, and auditability for CISOs.
  • Lead hands-on distributed systems work: performance, migrations, security architecture using Python.
  • Serve as primary technical authority in customer discussions and architecture deep-dives.

Skills

Technical leadership
Distributed systems
Python
TypeScript/Node.js
PostgreSQL
AWS
LLM platforms

Tools

LangGraph
Cerbos
WorkOS

Job description

Grid Dynamics seeks a Lead AI Software Engineer to own the architecture of an enterprise AI platform for global clients. You will drive technical direction, guide senior engineers, and ensure secure, scalable multi-tenant deployments across clouds.

You will lead hands-on engineering, optimize costs and performance, and collaborate with product leadership to translate roadmaps into commitments. Excellent English communication is essential.

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