Solution Engineer (AI & Big Data)

We are looking for a Solution Engineer to help clients unlock the value of modern AI and data platforms. In this role, you will support organizations in the early stages of their transformation by aligning technical solutions—such as machine learning, LLM-based applications, and cloud data platforms—with their strategic business goals.

You will become an expert in consulting offerings across AI/ML, LLM integrations, and modern data engineering solutions, acting as a trusted technical advisor during pre-sales engagements. Working closely with sales, delivery, and engineering teams, you will help shape solution concepts, support technical discovery, and ensure a smooth transition from early discussions to project implementation.

In this position, you will

• Serve as a technical advisor during pre-sales and early engagement stages, helping clients understand what is possible with AI/LLMs and modern data platforms and how these capabilities align with their strategic business goals.
• Lead or support technical discovery sessions, clarifying business problems, identifying solution patterns, and assessing feasibility across AI/ML and data-platform initiatives.
• Design and communicate solution architectures, including LLM integrations, AI/ML solution designs, retrieval-augmented generation (RAG), vector databases, orchestration pipelines, and data flows, as well as modern cloud data architectures such as data lakes, data warehouses, and big-data processing solutions.
• Create and deliver technical PoCs and PoVs, demo narratives, and early prototypes to support proposals and shape delivery, including solutions leveraging AI/ML and modern data-engineering and analytics platforms.
• Contribute to internal R&D by evaluating emerging AI tools, libraries, frameworks, and modern data technologies, including cloud-native data platforms and data-engineering tools, and translating insights into recommendations for internal teams and clients.
• Collaborate with sales, delivery, and engineering teams to ensure a smooth transition from pre-sales through technical scoping and solution design to hand-off to delivery teams and full implementation.

What you’ll need to succeed in this role

• Undergraduate degree or higher in Computer Science, Data Science, Engineering, or a related field, or equivalent hands-on experience.
• Proven experience in technical roles, such as exposure to AI/ML products, data platforms, consulting services, solution engineering, or cloud architecture.
• Foundational understanding of public cloud platforms (AWS, Azure, GCP), with experience deploying cloud-based AI solutions and/or modern data-platform architectures.
• Comfort working across multiple clients and projects in parallel, with strong organizational and time-management skills.
• Strong foundational understanding of AI/ML workflows, from data preprocessing and model training to evaluation and deployment.
• Familiarity with LLM-based applications, including embeddings, vector databases, and orchestration frameworks such as LangChain and LlamaIndex.
• Working knowledge of MLOps and orchestration tools such as MLflow, Airflow, Kubeflow, Vertex AI, or SageMaker.
• Proficiency in Python and experience with common AI/ML libraries such as pandas, scikit-learn, PyTorch, or TensorFlow.
• Understanding of modern data architectures and data-engineering concepts, including ETL/ELT pipelines, big-data processing, and cloud data services such as Azure Data Factory, Azure Synapse, Databricks, or similar platforms.
• Strong communication skills, with the ability to simplify complex concepts for diverse audiences, including AI engineers, data scientists, data engineers, and non-technical stakeholders.
• Excellent English, at least C1 level.
• Excellent time-management and multitasking ability, with comfort working across several customer projects and internal teams.

Nice to have

• Exposure to or interest in sales processes, technical demos, and customer-facing engagements.

Discover our perks and benefits

• Work in a supportive team of passionate AI and Big Data enthusiasts.
• Engage with global enterprises and cutting-edge startups on international projects.
• Flexible work arrangements, including remote work or modern offices and coworking spaces.
• Professional growth through career paths, knowledge-sharing initiatives, language classes, and sponsored training or conferences, including industry training materials and certifications.
• Team-building events and an integration budget.
• Recognition of work anniversaries, birthdays, and milestones.
• Medical and sports packages, eye care, and well-being support services, including psychotherapy and coaching.
• Full work equipment, including a laptop and necessary devices.
• Opportunities to build a personal brand through conference speaking, blog writing, or meetup participation.
• Smooth onboarding with a dedicated buddy in a friendly, supportive, and autonomous culture.