Join our AI Centre of Excellence in Poland, part of a global team of 9,000+ AI experts and data scientists. We partner with leading tech providers (AWS, GCP, Microsoft, Databricks, Snowflake, SAS) to build scalable AI solutions that drive real business impact.
- Contribute to cutting-edge AI initiatives by applying your creativity, critical thinking, and analytical skills.
- Design and implement scalable AI/ML solutions using cloud, generative, and agentic AI technologies.
- Work in agile, cross-functional teams combining technical, business, and data science expertise.
- Your accountability, responsibility, and autonomy will grow with your experience and seniority - we are looking for specialists with various experience levels.
HERE’S WHAT YOU’LL NEED:
Experience Requirements (Cumulative):
- At least 2 years of experience applying data-driven approaches to business scenarios, including the design and deployment of advanced analytics and machine learning algorithms.
- Within this experience, at least 1 year should involve working with generative AI or agentic AI technologies to build scalable AI/ML solutions.
Technical Skills:
Frameworks & Libraries:
- Python-based AI frameworks such as LangChain, LangGraph, CrewAI, AutoGen, LlamaIndex, Hugging Face Transformers, Google ADK.
Cloud Platforms:
- Experience delivering analytical projects using one of the following:
- GCP: Vertex AI, Vector Stores, AI Agents
- Azure: Machine Learning, OpenAI, AI Foundry, AI Search
- AWS: SageMaker, Athena, Forecast, Rekognition, Bedrock
Algorithms & Concepts:
- Solid understanding of machine learning and data science techniques including:
- Clustering, regression, classification, forecasting
- Neural networks, hyperparameter optimization
- Natural Language Processing (NLP), Large Language Models (LLMs)
Other Skills:
- Ability to translate complex business requirements into robust, data-driven solutions.
- Strong appetite for continuous learning and skill development in emerging AI technologies.
- Professional working proficiency in English.
Research indicates that some candidates, especially the most diverse ones, may hesitate to apply for positions if they don't meet all requirements. If you believe you possess the necessary skills, even if not meeting every requirement, we wholeheartedly encourage you to submit your application.
Bonus Points If You Have:
🧠 Advanced Technical Expertise
- Experience designing AI architectures
- Full-stack LLM engineering
- Building agentic AI systems
- Developing RAG (Retrieval-Augmented Generation) solutions
- Implementing vector-based retrieval architectures
- Applying advanced prompt engineering techniques
- Working with computer vision technologies
- Applying responsible AI principles
⚙️ Tools & Platforms
- Hands-on experience with Databricks
- Familiarity with MLOps tools and practices such as MLflow, Kubeflow, or Airflow
📜 Cloud and AI certifications such as:
- Azure Data Science Associate
- Azure AI Engineer
- Google Cloud Professional Data Engineer
- Google Cloud Data Analytics Professional
- Databricks ML Professional
Working Conditions:
- Location: Our headquarters is in Warsaw, with an additional office in Kraków.
- Flexibility: While most of our work is delivered remotely, our consulting model - through Intelligent Consulting Hub Europe (ICH) - also involves on-site collaboration. You should be willing and able to travel to client locations across Europe (and occasionally beyond) for short or long-term engagements, depending on project needs.
- Hybrid Collaboration: We value in-person time for learning, relationship-building, and team collaboration. As an employer, we aim to be as flexible as possible to support your individual work-life balance and preferences.
WHAT WE OFFER:
🚀 Career Development
- Permanent employment contract
- Individual support from a dedicated People Lead
- Personalized professional development path
- Access to coaching sessions
- Extensive training package including:
- Soft skills, technical, and language training
- E-learning platforms
- Gallup strengths assessment
- GenAI training
- Cloud certification programs
🧘 Well-being & Support
- Employee Assistance Program offering legal, financial, and psychological consultations
- Private medical care and life insurance coverage
- Access to the MyBenefit platform, including a wide range of products and services (e.g., Multisport card)
💼 Perks & Incentives
- Paid employee referral program
- Eligibility for quarterly dividends through the Employee Share Purchase Plan (for employees who own company shares)
WHAT WE BELIEVE:
Accenture does not discriminate employment candidates on the basis of race, religion, colour, sex, age, disability, national origin, political beliefs, trade union membership, ethnicity, denomination, sexual orientation or any other basis impermissible under Polish law. All our leaders are committed to building a better, stronger and more durable company for future generations to create positive, long-lasting change. Inclusion and diversity are fundamental to our culture and core values. Our rich diversity makes us more innovative and creative, which helps us better serve our clients and our communities. Our position as partner to many of the world’s leading businesses, organizations and governments affords us both an extraordinary opportunity and a tremendous responsibility to make a difference. Sustainability is one of our greatest responsibilities, which we embed it into everything we do and for everyone we work with.
Clicking apply I hereby express my consent to process my personal data included in my job offer by Accenture Sp. z o.o. or any other entity of the Accenture group for recruitment purposes, and that it is a data controller within the meaning of GDPR. More information about Accenture (and if necessary, also its representative) can be found here: https://www.accenture.com/pl-pl/privacy-policy.
About Accenture
Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.Visit us at www.accenture.com
Equal Employment Opportunity Statement
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, sexual orientation, gender identity or expression, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
Skills Required
- At least 2 years of experience applying data-driven approaches to business scenarios, including designing and deploying advanced analytics and machine learning algorithms.
- At least 1 year of experience working with generative AI or agentic AI technologies to build scalable AI/ML solutions.
- Experience with Python-based AI frameworks such as LangChain, LangGraph, CrewAI, AutoGen, LlamaIndex, Hugging Face Transformers, or Google ADK.
- Experience delivering analytical projects using GCP, Azure, or AWS AI and machine learning services.
- Solid understanding of machine learning and data science techniques, including clustering, regression, classification, forecasting, neural networks, and hyperparameter optimization.
- Knowledge of natural language processing and large language models.
- Ability to translate complex business requirements into robust, data-driven solutions.
- Professional working proficiency in English.
- Experience designing AI architectures.
- Full-stack LLM engineering experience.
- Experience building agentic AI systems.
- Experience developing retrieval-augmented generation solutions and vector-based retrieval architectures.
- Advanced prompt engineering experience.
- Experience with computer vision and responsible AI principles.
- Hands-on experience with Databricks.
- Familiarity with MLOps tools and practices such as MLflow, Kubeflow, or Airflow.
- Relevant cloud or AI certifications, including Azure Data Science Associate, Azure AI Engineer, Google Cloud Professional Data Engineer, Google Cloud Data Analytics Professional, or Databricks ML Professional.
Accenture Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Accenture and has not been reviewed or approved by Accenture.
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Healthcare Strength — Pay is considered competitive when paired with robust insurance options and other perks that compare well with large consulting and IT services peers. Multiple national medical plan options plus dental and vision are positioned as a core strength of the overall package.
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Retirement Support — Retirement support is positioned as a standout feature through a 401(k) dollar-for-dollar match up to a set percentage after eligibility. The package is reinforced by additional financial programs such as savings tools and related resources.
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Parental & Family Support — Parental and caregiving supports are presented as a meaningful benefit differentiator through substantial paid parental leave and multiple caregiver-oriented programs. Backup care and fertility/adoption/surrogacy navigation and reimbursements add breadth to family support beyond leave alone.
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What We Do
Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Interactive, Technology and Operations services—all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 500,000+ people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities. Visit us at www.accenture.com.









