Pre-Sales Engineer (AI & Big Data)

Addepto is a leading AI consulting and data engineering company focused exclusively on Artificial Intelligence and Big Data. The company delivers scalable AI solutions to global enterprises and startups, including Rolls Royce, Continental, Porsche, ABB, and WGU. Addepto also develops its own product, ContextClue, contributes open-source AI solutions, and is recognized by Forbes as a top AI consulting firm. It operates as part of KMS Technology, enabling enterprise-scale AI deployment.

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

• Serve as a technical advisor during pre-sales and early engagement stages, helping clients understand the possibilities with AI/LLMs and modern data platforms aligned to strategic 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 designs, retrieval-augmented generation, vector databases, orchestration pipelines, and modern cloud data architectures (e.g., data lakes, warehouses).
• Create and deliver technical proofs of concept and narratives to support proposals and shape delivery including AI/ML and data engineering platforms.
• Contribute to internal R&D by evaluating emerging AI tools, libraries, frameworks, and modern data technologies, translating insights into recommendations.
• Collaborate with sales, delivery, and engineering teams to ensure smooth transition from pre-sales to full implementation.