Sr AI Platform Engineer

We are seeking an experienced Sr AI Platform Engineer to join a high-performing engineering team focused on building scalable, low-latency AI serving infrastructure and real-time data platforms.This role involves hands-on development of serving layers, sync pipelines, APIs, caching systems, and CI/CD automation to take AI platform pilots from prototype to production.Key Responsibilities:• Build and optimize serving stores, sync pipelines, and API layers• Develop batch and real-time data processing pipelines• Configure pilot use cases end-to-end, including schemas and integrations• Implement CI/CD pipelines with automated testing and latency benchmarks• Maintain SLAs for latency, freshness, and platform availability• Collaborate with cross-functional teams to onboard new use cases• Contribute to reusable architecture patterns and technical documentationRequired Skills:• Python, FastAPI• REST API Development• Kafka or Streaming Platforms• CDC (Change Data Capture) & Incremental Data Processing• Redis / Valkey Caching• Vector Databases – Pinecone, Weaviate, pgvector• Neo4j Knowledge Graphs• RAG (Retrieval-Augmented Generation) & AI Engineering• Azure Databricks & Delta Lake• Unity Catalog & Delta Change Data Feed (CDF)• Advanced SQL & Data Modeling• GitLab CI/CD or GitHub ActionsNice to Have:• DuckDB• Microsoft Fabric & OneLake• Power BI Semantic Models• MCP-style Tooling• Enterprise Data Serving Infrastructure• SLA/SLO Management ExperienceAbout Brickred SystemsBrickred Systems is a global leader in next-generation technology, consulting, and business process service companies. We enable clients to navigate their digital transformation. Brickred Systems delivers a range of consulting services to our clients across multiple industries around the world. Our practices employ highly skilled and experienced individuals with a client-centric passion for innovation and delivery excellence.With ISO 27001 and ISO 9001 certification and over a decade of experience in managing the systems and workings of global enterprises, we harness the power of cognitive computing hyper-automation, robotics, cloud, analytics, and emerging technologies to help our clients adapt to the digital world and make them successful. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.