Solution Architect (Data & AI)

Job Overview And Responsibility

What do we do As a pioneer for digital transformation GFT develops sustainable solutions across new technologies – from cloud engineering and artificial intelligence to blockchain/DLT. With its deep technological expertise, strong partnerships, and comprehensive market know-how GFT offers advice to the financial and insurance sectors, as well as in the manufacturing industry. Through the intelligent use of IT solutions GFT increases productivity and creates added value for clients. Companies gain easy and safe access to scalable IT-applications and innovative business models. Who are we Having started in Germany in 1987, GFT Technologies has grown to become a trusted Software Engineering and Consulting specialist for the international financial industry, counting many of the world’s largest and best-known Banks as our clients. We are an organization that empowers you to not only explore but raise your potential and seek out opportunities that add value. At GFT, diversity, equality, and inclusion are at the core of who we are. Ensuring a diverse and inclusive working environment for all communities is one of the main pillars of our diversity strategy, based on our core values and culture. We have been certified for 2022/23 as a ‘Great place to work’ in the APAC region. So, if you want to have the opportunity to work with an outstanding and progressive organization this position could be right for you. Sign-on Bonus: Eligible for candidates who are currently employed elsewhere and able to join GFT within 30 days of offer acceptance. Role Summary We are seeking an experienced Solutions Architect (Data & AI) to lead technical pre-sales engagements in Data and AI. You will act as an advisor to clients, design modern data and AI platforms, and guide internal teams through technical solutioning and POC efforts, especially around Data and Generative AI use cases on cloud-native architectures. Key Activities - Lead technical sales and work with enterprise clients on Data and AI strategies and building use cases - Architect and design modern data platforms (data lakes, warehouses, pipelines, delta lakes, streaming, analytics) using Spark, Flink, Kafka, Databricks, Snowflake across AWS, Azure, or GCP - Define and implement data governance policies, data quality frameworks, and compliance standards to ensure secure, and well-managed data assets based on DAMA-DMBOK principles - Architect and design MLOps and LLMOps pipelines to support scalable AI/ML model lifecycle management - Contribute to pre-sales assets (example, solution patterns, demos, estimations) and support go-to-market initiatives - Coordinate and manage cross-functional technical teams to ensure successful delivery of robust, scalable, and secure solutions - Travel to customer locations up to 25% as needed