Solution Engineer (AI & Big Data)

Addepto is a leading AI consulting (addepto.com/ai-consulting/) and data engineering (addepto.com/data-engineering-services/) company that builds scalable, ROI-focused AI solutions for some of the world's largest enterprises and pioneering startups, including Rolls Royce, Continental, Porsche, ABB, and WGU. With an exclusive focus on Artificial Intelligence and Big Data, Addepto helps organizations unlock the full potential of their data through systems designed for measurable business impact and long-term growth.

The company's work extends beyond client engagements. Drawing from real-world challenges and insights, Addepto has developed its own product - ContextClue - and actively contributes open-source solutions to the AI community. This commitment to transforming practical experience into scalable innovation has earned Addepto recognition by Forbes as one of the top 10 AI consulting companies worldwide.

As part of KMS Technology, a US-based global technology group, Addepto combines deep AI specialization with enterprise-scale delivery capabilities—enabling the partnership to move clients from AI experimentation to production impact, securely and at scale.

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 our 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.

🎯 What you’ll need to succeed in this role:

• Undergraduate degree or higher in Computer Science, Data Science, Engineering, or related field - or equivalent hands-on experience.
• Proven experience in technical roles - e.g., 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.
• Comfortable working across multiple clients and projects, often in parallel, with strong organizational and time management skills.
• A 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 (e.g., LangChain, LlamaIndex).
• Working knowledge of MLOps and orchestration tools like 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 (e.g., 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 - comfortable working across several customer projects and internal teams.

➕ Nice to have:

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