About
Accenture is a global professional services company that helps businesses, governments, and other organizations build their digital core, optimize operations, accelerate revenue growth, and enhance citizen services. Its AI&Data team in Poland works with more than 250 specialists across data architecture and sectoral expertise, collaborating with technology partners to deliver Data & Analytics solutions from strategy through implementation and development.
Responsibilities
•Design and develop GenAI-powered solutions for business processes and decision-making
•Collaborate with business stakeholders, architects, and engineers to identify practical GenAI use cases and translate them into scalable solutions
•Build and integrate applications using LLMs and cloud AI services such as Snowflake Cortex and AWS Bedrock
•Design and implement RAG/GraphRAG pipelines that combine enterprise data with GenAI models
•Prepare and optimize structured and unstructured data pipelines for GenAI use cases
•Contribute to high-level solution design and hands-on implementation, ensuring solutions are scalable, secure, and maintainable
•Experiment with prompt and context engineering, agentic orchestration, embeddings, and model configurations to improve solution quality
•Support POC/POV initiatives, validate GenAI technologies, and identify their business value
•Collaborate with data engineering teams to integrate GenAI solutions into modern data platforms
•Keep up with GenAI developments and contribute to internal knowledge sharing and capability building
Requirements
•Experience with Python and building data/AI applications
•Understanding of GenAI/LLM concepts, including context engineering, prompt engineering, embeddings, and RAG, and willingness to deepen knowledge
•Familiarity with Snowflake or other modern data platforms, or willingness to develop in this area
•Experience with at least one cloud platform: AWS, Azure, or GCP
•Experience working with APIs and integrating external AI services into applications
•Understanding of data engineering fundamentals, including data pipelines, data transformation, and large datasets
•Ability to combine architectural thinking with hands-on implementation
•Strong problem-solving skills and ability to work in a team
•Interest in building production-ready solutions, not only experiments or prototypes
•Excellent spoken and written English (B2)
Nice to have
•LangChain or LlamaIndex
•Vector databases and semantic search
•Snowflake Cortex or similar platform-native GenAI capabilities
•RAG-based solutions or LLM integrations
•MLOps/LLMOps practices
•DBT or Airflow, Docker, Kubernetes, Terraform
•AI governance, security and responsible AI practices
•Agile delivery models
•German B2
Conditions
•A permanent employment contract
•Individual support from a People Lead, a defined professional development path, and the possibility of a coaching session
•Training in soft skills, technical skills, and languages; access to e-learning platforms; Gallup test and GenAI training; possible co-financing of courses and certifications
•Employee Assistance Program with legal, financial, and psychological consultations
•Employee Share Purchase Plan; employees who own company shares are eligible for quarterly dividends
•Paid employee referral program
•Private medical care and life insurance
•Access to the Worksmile benefits platform, including a Multisport card
