AI Transformation Lead

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

Level's read on this job

Works on AI ●●●○ is how Level rates this role: the daily work is on AI products, without building the model.
The posting mentions OpenAI, LangChain and LangGraph among its tools and skills.
Level classes it as a lead role.
PwC has 3,700+ other open roles on Level.

AI in this role

Lead the AI Transformation & Agentic Systems Practice, driving high-value client opportunities and commercial AI execution.

OpenAILangChainLangGraphSemantic KernelOpenai Sdk

ragai-evaluationai-safetyai-strategygenerative-aiagentic-systemstechnology-consulting

Job Description & Summary

The opportunity

Lead the AI Transformation & Agentic Systems Practice, originate high-value client opportunities and remain accountable for commercial performance, executive relationships and the value delivered by the portfolio.

What you will be doing

· Set the practice strategy, market positioning, priority sectors and annual go-to-market agenda.

· Build trusted relationships with boards, CEOs, COOs, CIOs and business-unit executives.

· Lead major pursuits, executive workshops, strategic alliances and qualification decisions.

· Sponsor complex client programs and resolve commercial, stakeholder and delivery escalations.

· Ensure each engagement has explicit business outcomes, accountable owners and value measures.

· Build a culture that combines consulting quality, engineering excellence, agile delivery and responsible innovation.

What we need from you

· Significant leadership experience in technology consulting, business transformation or AI-enabled change.

· Demonstrated success originating and leading complex technology transformation engagements.

· Strong executive communication, commercial judgment and multidisciplinary leadership.

· Ability to connect AI, data, cloud and operating-model choices with business economics and risk.

Relevant AI technologies and tooling

· Executive-level fluency across generative AI, machine learning, agentic systems, retrieval-augmented generation, model evaluation and hybrid AI deployment, sufficient to challenge solution choices and explain their business implications.

· Awareness of the principal agent-development ecosystems, including LangChain and LangGraph, Microsoft Agent Framework or Semantic Kernel, and OpenAI Agents SDK, together with the ability to remain vendor-neutral when shaping client propositions.

· Understanding of AI platform economics, including model consumption, data and infrastructure costs, engineering effort, operational support and the implications of cloud, sovereign and on-premises deployment choices.

Measures of success

· Qualified pipeline and profitable revenue

· Strategic client relationships and repeat work

· Portfolio value realized by clients

· Practice utilization, capability growth and retention

· Quality and risk outcomes across engagements

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 Transformation Lead 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 Transformation Lead 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: lead.
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

RAGAI EvaluationAI SafetyAI StrategyGenerative AIAgentic SystemsTechnology ConsultingOpenAI

Questions you could be asked

How would you design a retrieval step so the model answers from real data instead of guessing?
How do you decide that one model's output is better than another's for a given task?
How do you think about the risk of an AI system in this kind of role failing silently?
Tell me about a project where ai strategy was part of your work. What did you do?
Tell me about a project where generative ai was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: RAG, AI Evaluation, AI Safety, AI Strategy, and Generative AI. 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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