Know ATS Score
CV/Résumé Score
  • Expertini Resume Scoring: Our Semantic Matching Algorithm evaluates your CV/Résumé before you apply for this job role: AWS AI Engineer.
Poland Jobs Expertini

Urgent! AWS AI Engineer Job Opening In Warsaw – Now Hiring PwC



Job description

Description

& Summary

As a global leader in cloud services, PwC is supported by PwC Poland’s Cloud & Digital team.

We provide first-class services in all areas of cloud computing, such as Cloud Strategy, Cloud Migrations, Data Analytics, DevOps, Application Modernization & Cloud Native.

We support clients in their adoption of innovation, creation of new business models and streamlining their operational activities.

We also improve the business performance of organizations.


We are looking for: 
AWS AI Engineer


Your future role: 

  • Leading the design and delivery of GenAI solutions on AWS (Amazon Bedrock as primary, Amazon SageMaker where appropriate) from use-case discovery to secure, scalable production, 
  • Building robust RAG and agentic AI workflows: document/knowledge ingestion, retrieval and grounding, guardrails, and tool-enabled automation that drives tangible business outcomes,
  • Owning prompt engineering, evaluation, and continuous quality tuning; establishing golden datasets, metrics, and safety checks to reduce hallucinations and bias,
  • Architecting reliable inference services and APIs; integrating GenAI into client applications and business processes with observability, cost controls, and security by design, 
  • Advising PwC clients on GenAI adoption strategy, governance, ROI, and operating models; facilitating workshops and executive briefings that connect AI to value, 
  • Prototyping quickly (PoCs/demos), validating with stakeholders, and iterating into production; codifying winning patterns into reusable accelerators and reference architectures, 
  • Collaborating across Cloud & Digital, data, and security teams to meet Responsible AI, GDPR, and client compliance standards - “building trust and solving important problems”, 
  • Contributing to thought leadership and pre-sales with compelling narratives, showcases, and client presentations that highlight PwC’s capabilities.
  •  
    Apply if you have: 

  • Practical expertise with Generative AI on AWS: Amazon Bedrock model endpoints (e.g., Anthropic, Meta, Amazon), inference configuration, and guardrails, 
  • Hands-on RAG design experience: embeddings, chunking, indexing, retrieval strategies, and evaluation; experience with vector stores (e.g., OpenSearch, pgvector, Pinecone), 
  • Strong prompt engineering skills: role/system prompts, structured outputs, tool/function calling, and iterative prompt refinement based on evaluation results, 
  • Experience building agentic AI flows and orchestration using frameworks like LangChain, LlamaIndex, or LangGraph, 
  • Python proficiency for production-grade services and integrations; familiarity with GenAI libraries, APIs, and testing practices, 
  • AWS fundamentals (IAM least privilege, networking basics, monitoring) and practical deployment on serverless/container stacks, 
  • Hands-on experience with Amazon SageMaker for hosting or pipelines when needed, 
  • Ability to translate business problems into GenAI use cases and communicate clearly with both technical and non-technical stakeholders in English, 
  • Working knowledge of ML fundamentals to support GenAI grounding and evaluation, with a focus on applying existing models rather than building from scratch.


  • Nice to have: 

  • Data engineering on AWS for GenAI: S3, Glue, Lambda, Step Functions, Athena, Kendra, and OpenSearch; building robust ingestion and transformation for retrieval, 
  • MLOps/LLMOps practices: CI/CD, packaging, observability; MLflow or SageMaker Pipelines; evaluation harnesses and dataset/version management, 
  • Exposure to other AWS AI services (e.g., Comprehend, Rekognition, Textract, Translate) and their integration patterns in enterprise solutions, 
  • Infrastructure as Code (Terraform/CloudFormation),
  • Experience with agent orchestration and secure tool integrations (e.g., CrewAI, LangGraph), plus connectors to enterprise systems, 
  • Consulting experience: leading client workshops, developing proposals, shaping adoption roadmaps, and articulating ROI and business cases,
  • Understanding of Responsible AI and EU regulations (GDPR, AI Act readiness), privacy, and governance frameworks.
  •  
    By joining us you gain: 

  • Work flexibility - hybrid working model, flexible start of the day, workation, sabbatical leave, 
  • Development and upskilling - our full support during onboarding process, mentoring from experienced colleagues, training sessions, workshops, certification co/financed by PwC and conversations with native speaker, 
  • Wide medical and wellbeing program - medical care package (incl.

    freedom of treatment, physiotherapy, discounts on dental care), coaching, mindfulness, psychological support, education through dedicated webinars and workshops, financial and legal counseling, 
  • Possibility to create your individual benefits package (a.o. lunch pass, concierge, veterinary package for a pet, massages) and access to a cafeteria - vouchers, discounts on IT equipment and car purchase, 
  • 3 paid hours for volunteering per month, 
  • Additional paid Birthday Day off
  • And when you start enjoying PwC as much as we do, you may recommend your friend to work with us.


  • Recruitment process: 

  • Apply,
  • Talk to our recruiter on a short HR screening call, 
  • Get to know us better during the interviews.


  • Send your application today! In case you have any additional questions, contact us:


    Your personal data will be processed for recruitment purposes by PwC Advisory spółka z ograniczoną odpowiedzialnością sp.k. or another PwC entity which runs a recruitment process - ().

    If you have given separate consent, data will also be processed for other purposes in accordance with the content of the consents granted.

    Full information about processing your personal data is available in the .


    #LI-hybrid #LI-MA1 


    Required Skill Profession

    Computer Occupations



    Your Complete Job Search Toolkit

    ✨ Smart • Intelligent • Private • Secure

    Start Using Our Tools

    Join thousands of professionals who've advanced their careers with our platform

    Rate or Report This Job
    If you feel this job is inaccurate or spam kindly report to us using below form.
    Please Note: This is NOT a job application form.


      Unlock Your AWS AI Potential: Insight & Career Growth Guide


    • Real-time AWS AI Jobs Trends in Warsaw, Poland (Graphical Representation)

      Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for AWS AI in Warsaw, Poland using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 833 jobs in Poland and 325 jobs in Warsaw. This comprehensive analysis highlights market share and opportunities for professionals in AWS AI roles. These dynamic trends provide a better understanding of the job market landscape in these regions.

    • Are You Looking for AWS AI Engineer Job?

      Great news! is currently hiring and seeking a AWS AI Engineer to join their team. Feel free to download the job details.

      Wait no longer! Are you also interested in exploring similar jobs? Search now: .

    • The Work Culture

      An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at PwC adheres to the cultural norms as outlined by Expertini.

      The fundamental ethical values are:
      • 1. Independence
      • 2. Loyalty
      • 3. Impartiality
      • 4. Integrity
      • 5. Accountability
      • 6. Respect for human rights
      • 7. Obeying Poland laws and regulations
    • What Is the Average Salary Range for AWS AI Engineer Positions?

      The average salary range for a varies, but the pay scale is rated "Standard" in Warsaw. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

    • What Are the Key Qualifications for AWS AI Engineer?

      Key qualifications for AWS AI Engineer typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.

    • How Can I Improve My Chances of Getting Hired for AWS AI Engineer?

      To improve your chances of getting hired for AWS AI Engineer, consider enhancing your skills. Check your CV/Résumé Score with our free Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.

    • Interview Tips for AWS AI Engineer Job Success
      PwC interview tips for AWS AI Engineer

      Here are some tips to help you prepare for and ace your job interview:

      Before the Interview:
      • Research: Learn about the PwC's mission, values, products, and the specific job requirements and get further information about
      • Other Openings
      • Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.
      • Dress Professionally: Choose attire appropriate for the company culture.
      • Prepare Questions: Show your interest by having thoughtful questions for the interviewer.
      • Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.
      During the Interview:
      • Be Punctual: Arrive on time to demonstrate professionalism and respect.
      • Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.
      • Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.
      • Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.
      • Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.
      • Follow Up: Send a thank-you email to the interviewer within 24 hours.
      Additional Tips:
      • Be Yourself: Let your personality shine through while maintaining professionalism.
      • Be Honest: Don't exaggerate your skills or experience.
      • Be Positive: Focus on your strengths and accomplishments.
      • Body Language: Maintain good posture, avoid fidgeting, and make eye contact.
      • Turn Off Phone: Avoid distractions during the interview.
      Final Thought:

      To prepare for your AWS AI Engineer interview at PwC, research the company, understand the job requirements, and practice common interview questions.

      Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the PwC's products or services and be prepared to discuss how you can contribute to their success.

      By following these tips, you can increase your chances of making a positive impression and landing the job!

    • How to Set Up Job Alerts for AWS AI Engineer Positions

      Setting up job alerts for AWS AI Engineer is easy with Poland Jobs Expertini. Simply visit our job alerts page here, enter your preferred job title and location, and choose how often you want to receive notifications. You'll get the latest job openings sent directly to your email for FREE!