GenAI Engineer (Mid) (AI&Data)
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.
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
As a GenAI Engineer, you will independently design, build, and deliver production-ready GenAI and agentic AI solutions for leading global enterprises. We’re looking for engineers who combine solid software development fundamentals with real, hands-on experience in the GenAI space – people who can take a problem, pick the right approach, and ship it to production.
You will:
Design and build GenAI applications and multi-agent systems for enterprise clients – using Python, LLM APIs (OpenAI, Anthropic, Google), and open-source models
Develop RAG pipelines, agentic workflows, and integrations that connect AI agents to corporate databases, APIs, and enterprise systems
Take ownership of features end-to-end: from prototyping and evaluation through deployment to cloud environments (AWS, Azure, or GCP) with production-grade reliability
Evaluate and optimize AI outputs – improving accuracy, reducing hallucinations, and tuning performance for real-world use cases
Collaborate with senior engineers, architects, and consultants on high-impact client projects, contributing to design decisions and technical direction
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?
Real ownership on production GenAI systems: take end-to-end responsibility for features and components in agentic AI solutions built for Fortune 500-type organizations.
Accelerated growth in the fastest-moving area of tech: work alongside experienced AI & Data practitioners on projects that push the boundaries of what autonomous AI can do in the enterprise.
A clear path from strong individual contributor to technical leadership: build the engineering depth and client-facing experience that opens doors to senior and architect-level roles.
Qualification
HERE’S WHAT YOU’LL NEED
Min. 3 years of commercial experience in Software Engineering or Data Engineering, including at least 1 year working hands-on with LLMs and Generative AI
Strong Python skills and solid understanding of SQL
Practical experience building RAG pipelines, agentic workflows, or working with vector databases
Hands-on knowledge of agentic frameworks (e.g., LangChain, LangGraph, LlamaIndex, ADK) and an understanding of agentic architecture patterns
Experience deploying AI solutions to cloud environments (AWS, Azure, or GCP)
Understanding of the Model Context Protocol (MCP) and how it connects AI agents to external systems
Proficiency with AI-assisted development tools (e.g., Cursor, Copilot, or similar) – we expect these to be a core part of your daily workflow, not an occasional add-on
Good command of English (min. B2+)
BONUS POINTS IF YOU HAVE
Experience building multi-agent systems or autonomous AI workflows in a commercial environment
Hands-on experience with vector database optimization, chunking strategies, and embedding tuning
Familiarity with LLMOps practices, model evaluation frameworks, and CI/CD for AI applications
Experience with containerization and API tooling (Docker, FastAPI, Flask)
Understanding of Responsible AI principles, hallucination mitigation strategies, and AI Act awareness
Contributions to open-source projects, hackathon experience, or a public GitHub portfolio
Experience mentoring junior engineer
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)
Interview Note: We value practical skills. During the technical interview, we’ll give you a real problem to solve and debug together – using your preferred development setup, including any AI-assisted tools you work with day to day.
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. 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
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GenAI Engineer (Mid) (AI&Data)
GenAI Engineer (Mid) (AI&Data)