19 hours ago
Bucharest, RomaniaSenior
Responsibilities
- Define reference platforms, environment topology, network patterns, identity, secrets, and access controls.
- Design model access, compute, storage, vector services, orchestration, gateways, and shared platform services.
- Support cloud, sovereign, edge, and on-premises deployment choices for client constraints.
- Define non-functional requirements for availability, performance, resilience, scalability, and cost.
- Create reusable landing patterns, templates, and platform guardrails for delivery squads.
- Partner with the MLOps Engineer on environment automation, observability, and release management.
- Design hybrid inference patterns and secure model, agent, and tool service integrations.
- Support proposals and client workshops, contribute reusable methods and code, and coach colleagues.
Requirements
- 8+ years of experience in cloud platforms, infrastructure, platform engineering, or architecture.
- Deep understanding of containers, Kubernetes, networking, identity, automation, data services, and AI runtimes.
- Experience with at least one major cloud platform and hybrid integration patterns.
- Strong Infrastructure as Code, DevSecOps, and platform-governance orientation.
- Deep experience with an enterprise AI platform such as Azure AI Foundry, Azure OpenAI, AWS Bedrock, Google Vertex AI, Databricks, or an equivalent platform.
- Hands-on experience with Kubernetes platforms, Infrastructure as Code tools, and GitHub Actions or Azure DevOps pipelines.
- Experience securing model, agent, and tool services through API gateways, private endpoints, service identities, secrets platforms, and policy enforcement.
- Ability to design hybrid inference using managed endpoints and self-hosted runtimes.
- Knowledge of vector, search, state, telemetry, and enterprise monitoring services.
- Ability to design for model or framework portability and avoid unnecessary vendor lock-in.
Benefits
- Hybrid work arrangement indicated by the #LI-Hybrid designation.
- Opportunities to collaborate with AI transformation, cloud, cyber, risk, Responsible AI, client, and implementation teams.
- Opportunities to contribute to reusable methods, code, assets, lessons learned, and continuous learning.
Tech Stack
Categories
About PwC
PwC is a global network of professional services firms providing assurance, tax, and advisory work for businesses and public-sector clients. It sells project-based and managed consulting, audit, and deals services, and implements and integrates business applications. Formed in 1998 by the merger of Price Waterhouse and Coopers & Lybrand, it is headquartered in London and is one of the Big Four accounting firms.