Solution Engineering & AI Prototyping Specialist

📍 Job Overview

Job Title: Solution Engineering & AI Prototyping Specialist

Company: Pwc CEE

Location: Bucharest, Romania

Job Type: Full time

Category: Solution Engineering & AI Prototyping

Date Posted: 2026-09-18

Experience Level: Mid-Level (2-5 years)

Remote Status: Hybrid

🚀 Role Summary

• Accelerate client pursuits and advisory engagements through rapid prototyping and compelling demonstrations of AI and data solutions on the Azure platform.

• Provide hands-on technical validation for APIs, data access, integration patterns, and deployment options to de-risk larger engagements.

• Contribute practical technical expertise to assessments, roadmaps, proposals, and delivery plans within a professional services context.

• Build and maintain reusable technical assets, patterns, and components to enhance future prototyping and demonstration efforts.

• Collaborate with Cloud Architects and Data & AI Managers to ensure robust architectural decisions and alignment with use-case objectives.

📝 Enhancement Note: While the title emphasizes "Solution Engineering & AI Prototyping," the core responsibilities and required skills strongly align with a technical pre-sales or solutions architecture role focused on accelerating client engagements through rapid technical validation and demonstration. The role requires a blend of hands-on development, technical understanding of cloud and AI services, and the ability to translate business needs into tangible technical solutions. The "operations" aspect is derived from the need to streamline the sales and advisory process through efficient prototyping and technical de-risking, directly impacting Go-To-Market (GTM) efficiency.

📈 Primary Responsibilities

• Rapidly convert priority business use cases into functional demonstrations, proof-of-concept solutions, and technical spikes to showcase technical feasibility and value.

• Design and build clear, client-ready interactive experiences demonstrating key workflows, data flows, controls, and expected user interactions for complex solutions.

• Prepare and manage dynamic demo environments, scripts, and supporting technical materials crucial for client workshops, proposal development, and executive presentations.

• Systematically capture and document reusable components, architectural patterns, and lessons learned from prototyping activities to build an asset library.

• Validate critical technical elements such as APIs, data access mechanisms, integration patterns, model behavior, deployment strategies, and non-functional requirements.

• Accurately estimate prototype development effort and proactively identify potential technical risks, constraints, and prerequisites before significant project mobilization.

• Apply secure engineering practices, appropriate data handling protocols, and Responsible AI controls throughout all prototype development and validation work.

• Provide crucial, practical technical input and insights for client assessments, strategic roadmaps, proposal responses, and overall delivery planning.

• Coach consulting teams on effective demonstration techniques and support internal enablement sessions to build broader technical acumen.

• Proactively maintain awareness of emerging Microsoft platform developments, particularly in Azure, AI, and data, and assess their applicability to evolving client needs.

📝 Enhancement Note: The responsibilities highlight a proactive, client-facing technical role. The emphasis on "rapidly convert," "build clear, client-ready experiences," and "validate critical technical elements" points to a need for agility and deep technical understanding. The responsibility to "coach consultants" and "maintain awareness of platform developments" indicates a knowledge-sharing and continuous learning component crucial for a specialist role.

🎓 Skills & Qualifications

Education: Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field is typically expected, though equivalent practical experience and professional certifications may be considered.

Experience: A minimum of 4 years of progressive experience in cloud engineering, software development, data engineering, AI engineering, or solution engineering is required.

Required Skills:

• Proven hands-on experience with a broad range of Azure services, including but not limited to compute, storage, networking, and AI/ML services.

• Deep understanding and practical application of APIs, identity management, DevOps principles, data pipelines, and modern application architectural patterns.

• Demonstrated practical capability in Python or another modern programming language for building robust and scalable solutions.

• Proven experience in building client-facing prototypes and demonstrations that effectively communicate technical capabilities.

• Strong, clear, and concise communication skills with the ability to articulate complex technical behaviors and concepts to both technical and non-technical audiences effectively.

• Demonstrated comfort and effectiveness working in ambiguous, fast-paced, and time-sensitive pursuit and discovery settings common in professional services. Preferred Skills:

• Professional certifications such as AI-102 (Azure AI Engineer Associate), AZ-204 (Developing Solutions for Microsoft Azure), DP-600 (Implementing Analytics Solutions Using Microsoft Power BI and Microsoft Fabric), DP-203 (Data Engineering on Microsoft Azure), or PL-600 (Microsoft Power Platform Solution Architect Expert).

• Hands-on experience with specific advanced Azure services like Azure OpenAI, Microsoft Fabric, Power Platform integration, and familiarity with GitHub or Azure DevOps for code management and CI/CD.

• Prior experience in a professional services, consulting, or pre-sales technical role, demonstrating an understanding of client engagement lifecycles and business development processes.

📝 Enhancement Note: The required experience level (4+ years) and the breadth of technical skills suggest this role is for an individual contributor with significant technical depth, capable of operating semi-autonomously. The preferred certifications and specific service experience are strong indicators of the desired technical specialization and can be leveraged by candidates to demonstrate their readiness.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase 3-5 distinct projects demonstrating rapid prototyping of business use cases, ideally involving Azure, AI, or data services.

• Quantify the impact of prototypes, highlighting speed of delivery, technical validation outcomes, and how they de-risked or accelerated client engagements.

• Provide examples of reusable components, architectural patterns, or technical assets developed and how they were leveraged across multiple projects.

• Include at least one example where technical risks were identified and mitigated during the prototyping phase, demonstrating foresight and problem-solving.

• Present clear documentation of the technical approach, including key architectural decisions, technology stack, and challenges overcome. Process Documentation:

• Demonstrate experience in documenting workflow designs for proofs-of-concept, highlighting iterative development and user interaction flows.

• Provide examples of how prototypes were used to validate integration patterns, API functionality, and data flow mechanisms.

• Illustrate how performance metrics or key technical validation points were captured and presented to stakeholders to support decision-making.

📝 Enhancement Note: For a role focused on prototyping and technical validation, a portfolio is crucial. It should not just list projects but demonstrate the process of rapid development, the impact of those prototypes in client pursuits, and the ability to document and reuse technical solutions. This aligns with the need for efficiency and acceleration within the GTM process.

💵 Compensation & Benefits

Salary Range: Based on industry benchmarks for Solution Engineers and AI Specialists with 4+ years of experience in Bucharest, Romania, a competitive salary range is estimated to be between €35,000 and €55,000 gross per year. This estimate accounts for the required technical expertise, the hybrid work model, and the specific demands of a professional services environment.

Benefits:

• Comprehensive health insurance package covering medical, dental, and vision care.

• Generous paid time off (PTO) policy, including vacation days, sick leave, and public holidays.

• Professional development opportunities, including access to training, certifications (e.g., Azure, AI), and conferences.

• Hybrid work model offering flexibility with a blend of remote and in-office work.

• Pension plan contributions and other retirement savings programs.

• Potential for performance-based bonuses and recognition programs.

• Access to employee assistance programs for well-being and support.

Working Hours: Standard full-time working hours are expected, typically around 40 hours per week. The hybrid nature of the role may offer some flexibility in daily scheduling, but core hours for team collaboration and client engagement will be required.

📝 Enhancement Note: The salary range is an estimation based on publicly available data for similar roles in Bucharest and the specified experience level. Actual compensation will vary based on the candidate's specific skills, experience, and the company's internal compensation structure. The benefits are typical for large professional services firms and are tailored to attract and retain specialized technical talent.

🎯 Team & Company Context

🏢 Company Culture

Industry: Professional Services, Technology Consulting, and Advisory. PwC CEE operates within a dynamic market, advising clients on digital transformation, cloud adoption, AI integration, and data strategy across various sectors. This context means the operations team must be agile and responsive to evolving client needs and technological advancements.

Company Size: PwC is a global leader in professional services, and its CEE (Central and Eastern Europe) branch is a significant entity within this network. This implies a large, structured organization with extensive resources, established processes, and a strong emphasis on professional development and client delivery. For operations professionals, this means working within a framework that values standardization, quality, and continuous improvement, while also offering opportunities to influence and innovate.

Founded: PwC traces its origins back to the mid-19th century, with the modern PwC firm formed through mergers over time. The CEE operations have grown significantly to serve the region's expanding economies and technological adoption. This long history suggests a stable, well-established organization with deep industry knowledge and a commitment to long-term client relationships.

Team Structure:

• The Solution Engineering & AI Prototyping Specialist will likely be part of a broader technology or digital transformation consulting practice within PwC CEE.

• The immediate team might consist of other technical specialists, Cloud Architects, Data & AI Managers, and potentially project managers or engagement leads.

• Reporting structure will likely be to a Data & AI Manager or a Practice Lead, with direct collaboration across various advisory sector and functional leaders.

• Cross-functional collaboration is a cornerstone, involving close partnerships with cybersecurity, risk, privacy, legal, tax, deals, change management, and delivery specialists to provide holistic client solutions. Methodology:

• Data analysis and insights are core to PwC's advisory services, meaning the operations team will leverage data to identify client challenges, measure impact, and drive recommendations.

• Workflow planning and optimization strategies are essential for managing client engagements efficiently, from initial pursuit to final delivery, with a focus on repeatable processes.

• Automation and efficiency practices are actively sought, particularly in leveraging cloud and AI technologies to streamline client operations and internal processes.

Company Website: https://jobs-cee.pwc.com/ce/en

📝 Enhancement Note: PwC's global presence and professional services model dictate a culture that balances rigorous process with client-centric innovation. For an operations-focused role like this, understanding how technical solutions accelerate business outcomes and streamline Go-To-Market (GTM) activities is key. The emphasis on "accelerate pursuits" and "advisory engagements" indicates that efficiency and technical enablement are critical operational functions.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as a specialist, likely mid-career, requiring significant technical expertise but with a focus on accelerating client engagements rather than leading large-scale project delivery. It sits within the technical solutions and pre-sales spectrum of operations, enabling the sales and advisory functions.

Reporting Structure: The specialist will likely report to a manager or director within the technology consulting or digital transformation practice, overseeing specialized technical roles. They will collaborate extensively with other technical experts (Cloud Architects) and business-focused leaders (Advisory sector leaders), demonstrating a matrixed reporting and collaboration model common in large consulting firms.

Operations Impact: The primary impact of this role is on the efficiency and effectiveness of PwC's client pursuits and advisory engagements. By rapidly prototyping and technically validating solutions, the specialist directly contributes to:

• Deal Acceleration: Shortening the sales cycle by providing tangible proof of concept and technical viability early on.

• Risk Mitigation: Identifying and addressing technical challenges upfront, leading to more successful project deliveries.

• Client Confidence: Demonstrating PwC's technical capabilities and understanding of client needs through compelling demonstrations.

• Revenue Enablement: Supporting the sales team in winning new business by providing strong technical backing.

Growth Opportunities:

• Specialization Advancement: Deepen expertise in specific Azure services, AI technologies (e.g., Azure OpenAI, Generative AI), or industry-specific solutions.

• Technical Leadership: Progress to roles like Senior Solution Architect, Cloud Architect, or AI Lead, taking ownership of more complex technical solutions and client challenges.

• Consulting Career Path: Transition into more senior advisory roles, leveraging technical insights to shape broader digital transformation strategies.

• Mentorship & Enablement: Become a go-to expert within the firm, mentoring junior consultants and developing internal training materials.

• Client Relationship Management: Develop stronger client-facing skills and potentially move towards account management or strategic advisory roles.

📝 Enhancement Note: This role is a critical component of the Go-To-Market (GTM) operations, directly impacting revenue generation by enabling faster and more confident client engagements. Growth opportunities are geared towards deepening technical specialization or moving into broader strategic advisory roles, supported by the firm's extensive learning and development infrastructure.

🌐 Work Environment

Office Type: This is a hybrid role, meaning a mix of remote work and in-office presence. The office environment in Bucharest will likely be modern, professional, and designed to foster collaboration.

Office Location(s): Bucharest, Romania. Specific office details would be provided upon inquiry or during the interview process, but PwC typically has well-established, centrally located offices in major cities.

Workspace Context:

• The workspace is designed to support both focused individual work (prototyping, development) and collaborative team activities (workshops, strategy sessions).

• Access to necessary technology, including high-performance computing resources for AI/ML tasks and robust networking capabilities, will be available.

• Opportunities for interaction with a diverse team of specialists, architects, and consultants will be frequent, fostering a dynamic and knowledge-rich environment.

Work Schedule: The role is full-time, with standard working hours. The hybrid arrangement allows for flexibility, but the nature of client pursuits and project deadlines may require adaptability and occasional extended hours. The focus is on delivering results and meeting client needs within agreed timelines.

📝 Enhancement Note: The hybrid work environment is standard for professional services firms, balancing flexibility with the need for in-person collaboration, especially during client-facing activities or critical team brainstorming sessions. This setup is conducive to efficient operations and effective GTM support.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter or hiring manager will review your application and resume to assess alignment with the core requirements, particularly experience in Azure, AI, and prototyping.

• Technical Interview(s): Expect one or more technical interviews focusing on your hands-on experience with Azure services, Python programming, AI concepts, and your approach to building prototypes. You may be asked to walk through specific projects from your portfolio.

• Case Study/Challenge: A practical exercise may be given, such as designing a high-level architecture for a given business problem or outlining a rapid prototyping approach for a specific use case. This will assess your problem-solving skills and ability to apply technical knowledge under pressure.

• Behavioral Interview: Questions will assess your communication skills, ability to work in ambiguous settings, collaboration style, and cultural fit with PwC's values. Expect questions about how you handle complex client interactions or technical challenges.

• Final Interview: Potentially with a senior leader to discuss career aspirations, strategic alignment, and final confirmation.

Portfolio Review Tips:

• Curate Selectively: Choose 3-5 of your strongest projects that best demonstrate the required skills (Azure, AI, Python, rapid prototyping).

• Focus on Impact: For each project, clearly articulate the business problem, your technical solution, the tools and technologies used, and most importantly, the impact (e.g., accelerated pursuit, de-risked engagement, client buy-in). Quantify results where possible.

• Highlight Process: Explain your approach to rapid prototyping – how you gathered requirements, iterated, validated technical aspects, and managed risks.

• Demonstrate Reusability: If applicable, show examples of components, patterns, or frameworks you created that were reused, showcasing efficiency gains.

• Prepare for Technical Deep Dives: Be ready to discuss the technical intricacies of your projects, architectural decisions, and any challenges you faced.

Challenge Preparation:

• Revisit Azure Fundamentals: Ensure a strong understanding of core Azure services (compute, storage, networking, databases) and common AI/ML services.

• Practice Python Coding: Be prepared for basic to intermediate Python coding challenges, focusing on data manipulation, API interaction, or logical problem-solving.

• Understand AI/ML Concepts: Familiarize yourself with common AI models, Responsible AI principles, and how they are applied in practical scenarios.

• Think About Prototyping Strategy: For hypothetical scenarios, be ready to outline a phased approach to building a prototype, identifying key milestones and validation points.

📝 Enhancement Note: The interview process for such a role will heavily emphasize practical, hands-on technical ability and the strategic application of that skill to accelerate business outcomes. A well-prepared portfolio is essential for demonstrating this capability effectively.

🛠 Tools & Technology Stack

Primary Tools:

• Microsoft Azure: Extensive hands-on experience is critical, covering core compute (VMs, App Services, Functions), storage, networking, databases, and AI/ML services (Azure Machine Learning, Azure Cognitive Services, Azure OpenAI).

• Python: Proficiency in Python for scripting, data manipulation, API development, and building prototype logic.

• Cloud-Native Development Tools: Experience with Azure CLI, ARM templates, Bicep, or Terraform for infrastructure as code.

• Containerization: Familiarity with Docker and container orchestration (e.g., Azure Kubernetes Service - AKS) may be beneficial.

Analytics & Reporting:

• Azure Data Services: Experience with Azure SQL Database, Azure Cosmos DB, Azure Data Lake Storage, and data warehousing solutions.

• Data Visualization Tools: Familiarity with Power BI, Tableau, or similar tools for demonstrating data flows and insights within prototypes.

• Monitoring & Logging: Understanding of Azure Monitor and Log Analytics for troubleshooting and performance analysis.

CRM & Automation:

• DevOps Tools: Experience with Azure DevOps or GitHub for source control, CI/CD pipelines, and project management.

• API Management: Familiarity with Azure API Management for designing, securing, and publishing APIs.

• Workflow Automation: Understanding of Azure Logic Apps or Power Automate for orchestrating business processes.

📝 Enhancement Note: The technology stack is heavily centered around the Microsoft Azure ecosystem, reflecting PwC's strategic alliance. Proficiency in Python and DevOps practices is also crucial for rapid development and efficient deployment of prototypes.

👥 Team Culture & Values

Operations Values:

• Client Focus: A commitment to understanding and exceeding client expectations by delivering innovative and practical technical solutions that drive business value.

• Excellence & Quality: Upholding high standards in technical execution, documentation, and client communication to ensure the reliability and effectiveness of prototypes and advisories.

• Collaboration & Teamwork: Fostering an environment where knowledge is shared freely, and team members support each other to achieve common goals, particularly in fast-paced pursuit scenarios.

• Innovation & Continuous Learning: Encouraging the exploration of new technologies, methodologies, and best practices, especially in the rapidly evolving fields of AI and cloud computing, to stay at the forefront of client solutions.

• Integrity & Professionalism: Adhering to PwC's ethical standards, maintaining confidentiality, and demonstrating a professional demeanor in all client and internal interactions.

Collaboration Style:

• Cross-functional Integration: Actively partnering with consultants, architects, and specialists from various domains (cybersecurity, risk, data analytics, strategy) to ensure comprehensive and integrated client solutions.

• Agile & Iterative: Embracing an agile approach to prototyping and development, with frequent feedback loops and iterative improvements based on stakeholder input.

• Knowledge Sharing: Proactively sharing insights, best practices, and reusable assets through internal platforms, workshops, and informal discussions to build collective capability.

📝 Enhancement Note: The culture emphasizes a blend of professional rigor and innovative problem-solving, essential for a role that bridges technical expertise with client-facing business acceleration. The operations aspect is about creating an efficient, collaborative environment that enables quick technical validation and impactful client engagements.

⚡ Challenges & Growth Opportunities

Challenges:

• Rapidly Evolving Technology Landscape: Staying current with the continuous stream of updates and new services within Azure, AI, and related technologies requires ongoing learning.

• Ambiguous Client Requirements: Effectively translating often vague or evolving client needs into concrete technical prototypes demands strong analytical and communication skills.

• Balancing Speed and Quality: The need for rapid prototyping can sometimes conflict with ensuring robust, secure, and scalable solutions; finding the right balance is key.

• Technical Debt in Prototypes: Prototypes are by nature quick builds; managing the inherent technical debt and ensuring they don't become unmaintainable is a consideration.

Learning & Development Opportunities:

• Microsoft Certifications: Pursue advanced Azure and AI certifications (AI-102, AZ-204, DP-203, etc.) to formalize and expand expertise.

• Internal Training & Workshops: Participate in PwC's extensive internal training programs focused on new technologies, consulting methodologies, and client engagement strategies.

• Exposure to Diverse Projects: Work across a variety of industries and client challenges, gaining broad experience in applying AI and cloud solutions to different business problems.

• Mentorship Programs: Benefit from mentorship from senior architects and leaders within PwC, guiding career development and technical growth.

📝 Enhancement Note: The challenges are inherent to a cutting-edge technical role in a dynamic consulting environment. The growth opportunities are robust, leveraging PwC's resources to foster continuous professional and technical development, crucial for maintaining relevance and driving impact in operations and GTM.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you had to quickly prototype a complex technical solution for a business problem. What was your process, and what was the outcome?" (Focus on methodology, speed, and impact.)

• "How do you approach validating the technical feasibility and risks of a new AI or cloud integration before a full-scale implementation?" (Highlight your technical validation process and risk assessment skills.)

• "Imagine a client wants to explore using Generative AI for customer support. Outline how you would build a compelling demonstration or proof-of-concept for them." (Demonstrate your ability to translate business needs into a technical prototype plan.) Company & Culture Questions:

• "Why are you interested in working for PwC, and what do you know about our technology consulting services?" (Show research into PwC's capabilities and your alignment with their values.)

• "How do you handle working with non-technical stakeholders who may not fully understand the technical aspects of your work?" (Assess your communication and translation skills.)

• "Describe a situation where you had to adapt your technical approach due to changing project requirements or client feedback." (Evaluate your flexibility and problem-solving under pressure.) Portfolio Presentation Strategy:

• Tell a Story: For each portfolio piece, frame it as a narrative: the challenge, your solution, the journey, and the impact.

• Highlight the "Why": Explain why you chose specific technologies and architectural patterns.

• Quantify Results: Whenever possible, use numbers to demonstrate the success and impact of your prototypes (e.g., reduced development time by X%, accelerated client decision-making by Y days).

• Be Ready for Q&A: Anticipate detailed technical questions about your projects and be prepared to discuss trade-offs and alternative approaches.

📝 Enhancement Note: Preparation should focus on demonstrating not just technical skill, but also the ability to apply that skill strategically to accelerate business processes, which is the core operational value of this role in a GTM context.

📌 Application Steps

To apply for this Solution Engineering & AI Prototyping Specialist position:

• Submit your application through the PwC CEE careers portal via the provided link.

• Tailor your resume: Highlight specific experiences with Azure services, Python, AI/ML, prototyping, and technical validation. Use keywords from the job description and ensure achievements are quantified.

• Prepare your portfolio: Curate 3-5 strong projects showcasing your prototyping and technical validation skills. Be ready to present them, focusing on business impact and technical execution.

• Research PwC CEE: Understand their technology consulting offerings, recent projects, and their strategic focus areas (e.g., digital transformation, AI adoption).

• Practice your pitch: Rehearse explaining your technical projects and your approach to prototyping and problem-solving, as you will likely need to present your portfolio and answer case-study-style questions.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.