PwCSolution Engineering & AI Prototyping Specialist
PwC is hiring a Solution Engineering & AI Prototyping Specialist 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.
- Tools and skills the posting cites include OpenAI, Azure OpenAI and Azure.
- Level classifies it as a senior role.
- Level lists 3,700+ other open roles at PwC.
AI in this role
Solution Engineering & AI Prototyping Specialist building rapid AI and cloud demonstrations, prototypes, and technical validation on Azure.
Job Description & Summary
The opportunity
Accelerate pursuits and advisory engagements through compelling demonstrations, rapid prototypes and hands-on technical validation across Azure, data, AI and automation.
What you will be doing
Prototyping & demonstrations
- Rapidly convert priority business use cases into demonstrations, proof-of-concept solutions and technical spikes.
- Build clear, client-ready experiences that show workflows, data flows, controls and expected user interactions.
- Prepare demo environments, scripts and supporting materials for workshops, proposals and executive presentations.
- Capture reusable components, patterns and lessons learned.
Technical validation
- Validate APIs, data access, integration patterns, model behavior, deployment options and non-functional requirements.
- Estimate prototype effort and identify technical risks, constraints and prerequisites before larger mobilization.
- Apply secure engineering practices, appropriate data handling and Responsible AI controls in prototype work.
- Collaborate with the Cloud Architect on architecture decisions and with the Data & AI Manager on use-case intent and evaluation.
Advisory support & capability building
- Contribute practical technical input to assessments, roadmaps, proposals and delivery plans.
- Coach consultants on Microsoft demonstrations and support internal enablement sessions.
- Maintain awareness of relevant Microsoft platform developments and assess their applicability to client needs.
What we need from you
- 4+ years in cloud engineering, software development, data engineering, AI engineering or solution engineering.
- Hands-on experience with Azure services, APIs, identity, DevOps, data pipelines and modern application patterns.
- Practical capability in Python or another modern language and experience building client-facing prototypes.
- Strong communication skills and the ability to explain technical behavior to non-technical audiences.
- Comfort working in ambiguous, time-sensitive pursuit and discovery settings.
Preferred qualifications
- AI-102, AZ-204, DP-600, DP-203 or PL-600 certifications are desirable.
- Experience with Azure OpenAI, Microsoft Fabric, Power Platform, GitHub or Azure DevOps is advantageous.
- Professional-services or pre-sales experience is preferred.
Measures of success
- Speed and quality of prototypes and demonstrations
- Accuracy of technical validation and risk identification
- Reuse of accelerators and technical assets
- Contribution to proposals, workshops and qualified opportunities
- Adherence to security, data-handling and Responsible AI expectations
Key interfaces
- Microsoft Cloud Architect and the other core team members
- PwC Advisory sector and functional leaders
- Cybersecurity, risk, privacy, legal, tax, deals, change and delivery specialists
- Microsoft alliance and partner ecosystem stakeholders
- Client executives, business owners, technology leaders and delivery teams
#LI-BS1 #LI-Hybrid
How we rate this
Solution Engineering & AI Prototyping Specialist at PwC rates 65 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.
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.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- How do you think about the risk of an AI system in this kind of role failing silently?
- Tell me about a project where prototyping was part of your work. What did you do?
- Tell me about a project where solution engineering was part of your work. What did you do?
- Tell me about a project where ai prototyping was part of your work. What did you do?
- Tell me about a project where technical validation was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: AI Safety, Prototyping, Solution Engineering, AI Prototyping, and Technical Validation. 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.
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