ML/AI Engineer with Snowflake (AI&Data)

Accenture Poland; Warszawa; Hybrid; PLN 180,000 - 240,000; Full time

Benefits offered by this job

Permanent contract

People Lead support

Training package including soft skills

Employee Assistance Program

Employee Share Purchase Plan

Referral program

Private medical care and lifeinsurance

Worksmile benefits platform

Job summary

Accenture Poland is seeking a skilled professional to design and build GenAI-powered data/AI solutions. You will collaborate with stakeholders and engineers to translate GenAI use cases into scalable implementations across cloud platforms and enterprise data environments.

The role emphasizes hands-on development, architecture thinking, and active learning in GenAI trends, with opportunities to work with Snowflake Cortex and other modern data services. Remote/hybrid work options apply.

Qualifications

• Experience with Python to build data/AI applications.
• Understanding of GenAI/LLM concepts (context engineering, prompt engineering, embeddings, RAG).
• Familiarity with Snowflake or modern data platforms, or willingness to develop in this area.
• Experience with at least one cloud platform (AWS, Azure, or GCP).
• Ability to work with APIs and integrate external AI services into applications.
• Understanding of data engineering fundamentals (data pipelines, data transformation, working with large datasets).
• Ability to combine architectural thinking with hands-on implementation.
• Strong problem-solving skills and ability to work in a team.

Responsibilities

• Design and develop GenAI-powered solutions supporting business processes and decision-making across various functional areas.
• Collaborate with stakeholders, architects and engineers to identify practical GenAI use cases and translate them into scalable solutions.
• Build and integrate applications leveraging LLMs with cloud AI services (e.g. Snowflake Cortex, AWS Bedrock and other).
• Design and implement retrieval-augmented generation (RAG/GraphRAG) pipelines, combining enterprise data with GenAI models.
• Work with structured and unstructured data, preparing and optimizing pipelines for GenAI use cases.
• Contribute to solution design and hands-on implementation, ensuring scalable, secure and maintainable solutions.
• Experiment with prompt engineering, context engineering, agentic orchestration, embeddings and model configurations to improve quality.
• Support POC/POV initiatives, validating GenAI technologies and identifying business value.
• Collaborate with data engineering teams to integrate GenAI solutions into modern data platforms.
• Stay up to date with GenAI trends and share knowledge internally.

Skills

Python

GenAI / LLM concepts

Snowflake

Cloud platforms

APIs integration

Data engineering fundamentals

Architectural thinking

English (B2)

Tools

Snowflake Cortex

AWS

Azure

GCP

LangChain

Job description

Who We Are

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.

Who We Are

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.

At the AI&Data, we work locally and globally with over 250 Poland-based specialists. Our expertise spans data architecture and sectoral specialization. We collaborate with tech partners like Microsoft, AWS, Google, Oracle, and Snowflake to implement cutting‑edge solutions. We provide comprehensive support from strategy definition to solution implementation and development, covering all aspects of Data & Analytics.

The Work

• design and develop GenAI-powered solutions supporting business processes and decision‑making across various functional areas.
• collaborate with business stakeholders, architects and engineers to identify practical GenAI use cases and translate them into scalable solutions.
• build and integrate applications leveraging LLMs with cloud AI services (e.g. Snowflake Cortex, AWS Bedrock and other).
• design and implement retrieval‑augmented generation (RAG/GraphRAG) pipelines, combining enterprise data with GenAI models.
• work with structured and unstructured data, preparing and optimizing pipelines for GenAI use cases.
• contribute to both high‑level solution design and hands‑on implementation, ensuring solutions are scalable, secure and maintainable.
• experiment with prompt engineering, context engineering, agentic orchestration, embeddings and model configurations to improve solution quality.
• support POC/POV initiatives, validating GenAI technologies and identifying their business value.
• collaborate with data engineering teams to integrate GenAI solutions into modern data platforms.
• stay up to date with evolving GenAI trends and contribute to internal knowledge sharing and capability building.

Flexible

The work location for this role may include a mix of working remotely (most of the time), onsite at a client or in an Accenture office – depending on specific project circumstances. With all our roles, there is some in‑person time for collaboration, learning and building relationships with clients, peers, leaders, and communities. As an employer, we will be as flexible as possible to support your specific work/life needs.

What’s in it for you?

• Work on projects for international clients, expanding your data skill set.
• Gain insights and support from a diverse team of over 250 Data‑enthusiasts. Access continuous learning through workshops and skill‑building initiatives.
• Thrive in an exciting workplace that values and celebrates diverse perspectives. Contribute to a creative environment where your ideas are welcome.

Here’s What You’ll Need

• Experience with Python and ability to build data/AI applications.
• Understanding of GenAI/LLM concepts (e.g., context engineering, prompt engineering, embeddings, RAG) and eagerness to deepen knowledge in this area.
• 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).
• Ability to work with APIs and integrate external AI services into applications.
• Experience in working with APIs and integration of external AI services into applications
• Understanding of data engineering fundamentals (data pipelines, data transformation, working with large datasets).
• Ability to combine architectural thinking with hands‑on implementation.
• Strong problem‑solving skills and ability to work in a team environment.
• Interest in building production‑ready solutions (not only experiments or prototypes).
• Excellent command of spoken and written English (B2 level).

Bonus Points if You Have

• Experience with frameworks such as LangChain, LlamaIndex or similar.
• Familiarity with vector databases and semantic search solutions.
• Exposure to Snowflake Cortex or similar platform‑native GenAI capabilities.
• Experience with building RAG‑based solutions or LLM integrations.
• Knowledge of MLOps / LLMOps practices (CI/CD, evaluation, monitoring).
• Experience with tools such as DBT, Airflow or other data pipeline solutions.
• Familiarity with containerization (Docker, Kubernetes) and infrastructure as code (Terraform).
• Basic understanding of AI governance, security and responsible AI practices.
• Experience working in Agile delivery models.
• German B2

What We Offer

• A permanent employment contract
• Individual support of a People Lead and a clearly defined path of professional development, including the possibility of a session with a Coach
• A comprehensive training package, including: soft skills, technical and language training, access to e‑learning platforms, Gallup test, GenAI training, possibility of co‑financing courses and certifications
• Employee Assistance Program offering legal, financial and psychological consultations
• Employee Share Purchase Plan – employees who own company shares are automatically eligible for quarterly dividends
• Paid employee referral program
• Private medical care and life insurance
• Access to the Worksmile benefits platform (including the Multisport card)

What We Believe

Accenture does not discriminate employment candidates on the basis of race, religion, color, 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.

More information about Accenture (and if necessary also its representative) can be found here: https://www.accenture.com/pl-pl/privacy-policy