Solution Engineer (AI & Big Data)

Addepto is a leading AI consulting and data engineering company building scalable, ROI-focused AI solutions for large enterprises and startups. It develops AI and big data platforms including its own product ContextClue and contributes open-source solutions. Addepto is recognized by Forbes among top AI consulting firms worldwide and operates as part of KMS Technology, a US-based global technology group.

• Undergraduate degree or higher in Computer Science, Data Science, Engineering, or related field, or equivalent hands-on experience.
• Proven technical experience with AI/ML products, data platforms, consulting, solution engineering, or cloud architecture.
• Foundational understanding of public cloud platforms (AWS, Azure, GCP) and experience deploying cloud-based AI solutions or data platforms.
• Strong organizational and time management skills managing multiple clients and projects.
• Solid understanding of AI/ML workflows from data preprocessing, model training, evaluation to deployment.
• Familiarity with LLM-based applications, embeddings, vector databases, orchestration frameworks such as LangChain, LlamaIndex.
• Working knowledge of MLOps and orchestration tools like MLflow, Airflow, Kubeflow, Vertex AI, and SageMaker.
• Proficiency in Python and AI/ML libraries including pandas, scikit-learn, PyTorch, and TensorFlow.
• Understanding of modern data architectures and engineering concepts including ETL/ELT pipelines, big data processing, and cloud data services like Azure Data Factory, Azure Synapse, Databricks.
• Strong communication skills for diverse technical and non-technical audiences.
• Excellent English proficiency (minimum C1 level).

Nice to have:

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

• Serve as a technical advisor during pre-sales and early engagement stages, helping clients understand AI/LLMs and data platform capabilities aligned with business goals.
• Lead or support technical discovery sessions to clarify business problems, identify solution patterns, and assess feasibility for AI/ML and data platform initiatives.
• Design and communicate solution architectures including LLM integrations, AI/ML solutions, RAG, vector databases, orchestration pipelines, data flows, and modern cloud data architectures.
• Create and deliver technical PoCs, PoVs, demo narratives, and early prototypes supporting proposals and delivery.
• Contribute to internal R&D by evaluating emerging AI tools and modern data technologies, translating insights into recommendations.
• Collaborate with sales, delivery, and engineering teams to ensure smooth transition from pre-sales through solution design to delivery hand-off.