Technological Visionary

8 hours ago

bangalore, India beBeeGenAI Full time

We are seeking a visionary technology architect to design and build high-performance systems leveraging cutting-edge generative AI technologies.This role demands expertise in system architecture, cloud infrastructure, and deep knowledge of Gen AI APIs and their ecosystem.You will play a pivotal role in shaping our technical direction and delivering innovative solutions that scale seamlessly.Responsibilities:1. Design and develop highly scalable, distributed, and fault-tolerant systems to handle large-scale data and requests.2. Architect end-to-end solutions integrating Generative AI APIs and frameworks to meet business requirements.3. Collaborate with cross-functional teams to define technical requirements.4. Evaluate and select appropriate technologies, tools, and frameworks for scalability, performance, and security.5. Create and maintain architectural documentation, design patterns, and best practices.6. Optimize system performance, reliability, and cost efficiency, ensuring scalability to handle peak loads.7. Stay updated on emerging Gen AI technologies, APIs, and industry trends, and assess their potential impact.8. Lead technical discussions, mentor engineering teams, and drive the adoption of architectural best practices.9. Work closely with DevOps teams to implement CI/CD pipelines, monitoring, and incident management systems.Requirements:Proven experience in designing and implementing highly scalable, distributed systems.Strong expertise in cloud platforms like AWS, Azure, or GCP, with a focus on scaling and performance optimization.Solid understanding of Generative AI technologies, APIs (e.g., OpenAI, Anthropic, Google PaLM, etc.), and deployment strategies.Proficiency in programming languages such as Python, Node.js, Java, or Go.Deep knowledge of microservices architecture, API design, and asynchronous communication patterns.Experience with containerization (e.g., Docker) and orchestration tools (e.g., Kubernetes).Strong understanding of data storage solutions (SQL, NoSQL, and distributed databases).Familiarity with security best practices in distributed systems and cloud architectures.Prior Experience:Machine Learning pipelines, model serving, and inference optimization.Ai frameworks like TensorFlow, PyTorch, or Hugging Face Transformers.Monitoring and observability tools like Prometheus, Grafana, or New Relic.Event-driven architectures and message brokers like Kafka or RabbitMQ.Background in optimizing cost and performance for high-traffic systems.Educational Background:Bachelor's or Master's degree in Computer Science, Engineering, or related field (or equivalent experience).8+ years of experience in system architecture, distributed systems, and scalable application development.

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