AWS AI Engineer

Job Description & Summary

As a global leader in cloud services PwC is supported by PwC Polands 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 PwCs 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 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:

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