AI Platform Architect

PwC is hiring an AI Platform Architect in Bucharest, Romania. Level rates it ; you can apply on PwC.

Level's read on this job

On Level's scale, this role is Works on AI ●●●○: the daily work is on AI products, without building the model.
The posting mentions OpenAI, Hugging Face and Bedrock among its tools and skills.
Level classes it as a senior role.
PwC has 3,700+ other open roles on Level.

AI in this role

Design and evolve reusable platform capabilities, infrastructure, and deployment architecture for enterprise AI products.

OpenAIHugging FaceBedrockVertex AIAzure OpenAIOllamavLLMPineconeWeaviatepgvectorMilvusDatabricks+12

ml-opsai-safetyplatform-engineeringmlopsinfrastructure-as-codecloud-platformscontainerizationapi-security

Job Description & Summary

The opportunity

Design and evolve the reusable platform capabilities required to build, deploy, secure, observe and scale AI products across hybrid environments.

What you will be doing

· 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 where client constraints require them.

· Define platform 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.

What we need from you

· 8+ years 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.

Relevant AI technologies and tooling

· Deep experience with an enterprise AI platform such as Azure AI Foundry and Azure OpenAI, AWS Bedrock, Google Vertex AI, Databricks, or an equivalent platform, plus the ability to integrate alternative model providers.

· Hands-on knowledge of containers and Kubernetes platforms such as AKS or OpenShift; Infrastructure as Code using Terraform, Bicep or equivalent; and GitHub Actions or Azure DevOps pipelines.

· Experience exposing and securing model, agent and tool services through API gateways, private endpoints, service identities, secrets platforms and policy enforcement, for example Microsoft Entra ID, API Management and Key Vault.

· Ability to design hybrid inference patterns using managed endpoints and self-hosted runtimes such as vLLM, Hugging Face tooling, NVIDIA inference components, Ollama or equivalent technologies where appropriate.

· Knowledge of vector, search and state services such as Azure AI Search, PostgreSQL with pgvector, Elasticsearch, Pinecone, Weaviate, Milvus, Redis, Cosmos DB or equivalent.

· Experience integrating platform telemetry with OpenTelemetry and enterprise monitoring stacks, and designing for model or framework portability rather than unnecessary vendor lock-in.

Measures of success

· Platform readiness and reliability

· Time required to onboard new use cases

· Reuse of platform components

· Cost, performance and capacity transparency

· Compliance with approved architecture guardrails

Key interfaces

· Other members of the AI Transformation & Agentic Systems Practice

· PwC sector, functional, cloud, cyber, risk, Responsible AI and change specialists

· Client business owners, product owners, technology teams and operational users

· Technology alliance and implementation partners where relevant

Contribution to the practice

· Support proposals, client workshops and market development appropriate to seniority.

· Contribute reusable methods, patterns, code, assets and lessons learned.

· Coach colleagues and participate in the capability’s continuous learning agenda.

· Uphold PwC quality, independence, confidentiality and risk-management requirements.

#LI-BS1 #LI-Hybrid

How we rate this

AI Platform Architect at PwC rates 75 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

AI Platform Architect is an open job at PwC.
Level rates this role AI Level 3 of 4: Works on AI.
The role is based in Bucharest.
The job was posted on September 23, 2026.
Seniority: senior.
Applications are handled by PwC. Apply on PwC

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

ML OpsAI SafetyPlatform EngineeringMLOpsInfrastructure As CodeCloud PlatformsContainerizationAPI Security

Questions you could be asked

How do you monitor a model once it's live, and how do you know it needs retraining?
How do you think about the risk of an AI system in this kind of role failing silently?
Tell me about a project where platform engineering was part of your work. What did you do?
Tell me about a project where mlops was part of your work. What did you do?
Tell me about a project where infrastructure as code was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: ML Ops, AI Safety, Platform Engineering, MLOps, and Infrastructure As Code. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

Get your CV reviewed before you apply

Send your CV and the role you want next. Your review arrives by email within 3 days.

Get a free CV review Check your resume with the ATS resume checker