Senior Staff AI Architect

October 20

Apply Now

Receive Emails with Similar Jobs

Confluent

WebsiteLinkedInAll Job Openings

Artificial Intelligence • SaaS • Cloud Computing

Confluent is a company that specializes in data streaming platforms which turn real-time data events into actionable outcomes. Their solutions enable the development of intelligent, real-time applications, empowering teams and systems to respond to data instantly. Confluent builds a new data category that impacts the real world by providing the infrastructure for real-time data streaming, which is recognized and partnered with major tech companies like Google Cloud and Microsoft. The company maintains a remote-first culture, hiring talent from over 25 countries, and values diversity and inclusivity in their workplace.

1001 - 5000 employees

Founded 2014

🤖 Artificial Intelligence

☁️ SaaS

💰 Secondary Market on 2021-06

📋 Description

• Incorporate AI technologies, such as machine learning models, natural language processing, or predictive analytics, into automation and event-driven workflows & data solutions. • Contribute to the design, integrations and management of AI/ML solutions across SaaS platforms, systems, and databases, leveraging Confluent, AI-powered tools, and microservices patterns. • Partner with cross-functional stakeholders to translate business needs into cohesive AI strategies and outcomes. • Oversee and provide input on the design of microservices that align with modern cloud-native principles, enabling robust and reusable system components. • Conduct technical design reviews, enforce best practices, and ensure the delivery of high-quality, secure, and maintainable solutions. • Dedicate time to coach and mentor other team members.

🎯 Requirements

• A minimum of 8+ years in enterprise data, software architecture, or related fields, with 5+ years of hands-on experience in Kafka and event-driven systems. • Proven track record of designing and implementing large-scale, cloud-native solutions leveraging Kafka, Flink, and AI-driven tools. • Hands-on experience with feature stores, vector databases, or retrieval-augmented generation (RAG) for real-time AI. • Experience optimizing large-scale, real-time systems for low latency, high throughput, and cost efficiency. • Demonstrated ability to leverage AI to build and deliver compelling data solutions • Strong understanding of event-driven architecture, stream processing (Kafka Streams, Flink), and distributed systems. • Proficiency in microservices architecture, RESTful APIs, and modern DevOps practices (CI/CD pipelines). • Strong background in cloud platforms (AWS, GCP, or Azure), including infrastructure as code (e.g., Terraform). • In-depth knowledge of SQL and NoSQL database technologies. • Familiarity with containerization and orchestration tools (Docker, Kubernetes). • Familiarity with TensorFlow, PyTorch, Hugging Face, or other ML libraries.