Deals AI Forward Deployed Engineer

PwC is hiring a Deals AI Forward Deployed Engineer. Level rates it ; you can apply on PwC.

Level's read on this job

Builds AI ●●●● is how Level rates this forward deployed engineer role: the job is building AI systems.
PwC mentions visa sponsorship in this posting.
Tools and skills the posting cites include Python, LLMs and RAG.
Level lists 3,700+ other open roles at PwC.
The role was posted in the last few days.

AI in this role

Design and deploy AI-powered applications, LLM solutions, and agentic workflows for M&A and deals at PwC.

PythonLLMsRAG

ragai-agentsai-engineeringmachine-learningagentic-workflowscorporate-finance

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Corporate Finance

Management Level

Manager

Job Description & Summary

Deals AI Forward Deployed Engineer

Meet your future team

Join our Deals practice, where technology, data and transaction expertise come together to help clients navigate complex deal situations. You will work alongside deal professionals, AI specialists and multidisciplinary teams to rapidly design and deploy solutions that support M&A, due diligence, valuation, integration and post-deal value creation.

What your role will look like

As a Deals AI Forward Deployed Engineer, you will operate at the intersection of AI engineering and transaction execution. Your role exists to turn emerging AI capabilities into practical solutions that create measurable value for deal teams and clients, often within demanding timelines and rapidly evolving environments.

Partner with deal teams to identify high-impact opportunities where AI can accelerate analysis, improve decision-making and create value for clients.
Design, build and deploy AI-powered applications using large language models, retrieval-augmented generation, agentic workflows and modern AI engineering practices.
Deliver work efficiently, iterating on prototypes and shipping working solutions within tight deal timescales, maintaining a strong drive to deliver results, where progress is measured by what you build and learn rather than what is discussed in meetings.
Collaborate directly with clients and engagement teams to adapt solutions to transaction-specific needs across the deal lifecycle.
Integrate AI solutions with internal and external data sources, APIs and business workflows to support scalable adoption.
Capture recurring use cases, challenges and lessons learned from engagements and contribute to the evolution of broader Deals AI capabilities and platforms.
Contribute technical expertise, engineering discipline and innovative thinking to help shape how AI is applied across the Deals business.

Your growth and opportunities

Build expertise at the forefront of AI and transaction advisory by working on complex, high-impact client situations. Gain exposure to emerging technologies, diverse industries and strategic deal environments while expanding your influence on how AI solutions are developed and scaled across the practice. Develop both your technical depth and your ability to translate innovation into measurable business outcomes.

The skills you bring

Degree in Computer Science, Software Engineering, Data Science, Artificial Intelligence, or a related field.
Professional experience building software solutions using Python with proficient to advanced capability in software engineering practices, APIs, version control and testing.
Experience developing AI-enabled solutions using large language models, agentic AI frameworks, orchestration tools and retrieval-augmented generation techniques.
Cloud and deployment experience with the ability to independently deliver and support production solutions.
English: C1

Ways of working

You analyse complex information, identify patterns and translate technical findings into practical business solutions.
You apply independent judgment, challenge assumptions and evaluate multiple perspectives when solving difficult problems.
You collaborate effectively across teams, share knowledge and help others achieve collective outcomes.
You act with integrity, handle confidential information with care, and uphold high ethical standards in every situation.

The skills listed reflect what matters most to succeed in this role. If your experience aligns with them, even if your path looks different, we encourage you to apply and start the conversation with us.

Take your next step

Build boldly and help redefine how AI transforms the deal lifecycle. Work with multidisciplinary teams, emerging technologies and high-impact client challenges where your solutions can create immediate value. Shape what comes next while growing your expertise alongside professionals who are pushing the boundaries of innovation.

Grow here. Go further.

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required:

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Optional Skills

Accepting Feedback, Accepting Feedback, Acquisition Strategy, Active Listening, AI Fluency, AI-Human Collaboration, Analytical Thinking, Business Valuations, Buyouts, Capital Raising, Client Confidentiality, Client Management, Client Onboarding, Coaching and Feedback, Communication, Contract Negotiation, Contractual Agreements, Corporate Development, Creativity, Data Analysis, Data Rooms, Deal Sourcing, Deal Structures, Debt Restructuring, Digital Tooling {+ 37 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date

How we rate this

Deals AI Forward Deployed Engineer at PwC rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● 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

Deals AI Forward Deployed Engineer is an open job at PwC.
Level rates this role AI Level 4 of 4: Builds AI.
The role is based in Luxembourg.
The job was posted on November 9, 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

RAGAI agentsAI EngineeringMachine learningAgentic WorkflowsCorporate FinancePythonLLMs

Also common in forward deployed engineer jobs at this level

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Pay

Typical forward deployed engineer job: $180k

This posting doesn't list pay. Use the typical forward deployed engineer figure when pay comes up. See forward deployed engineer jobs

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 when an AI agent can act on its own versus asking for approval first?
Tell me about a project where ai engineering was part of your work. What did you do?
Tell me about a project where machine learning was part of your work. What did you do?
Tell me about a project where agentic workflows was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: RAG, AI agents, AI Engineering, Machine learning, and Agentic Workflows. 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.
Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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