GenAI Architect

3 weeks ago

Gurugram, India AIONOS Full time

Job Title: GenAI Architect Location: GurugramJob Type: [Full-time] Job Description We are seeking an experienced GenAI Architect to design and build highly scalable and reliable systems that leverage cutting-edge Generative AI technologies. This role demands expertise in system architecture, cloud infrastructure, and a deep understanding 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. Key Responsibilities: • Design and develop highly scalable, distributed, and fault-tolerant systems to handle large-scale data and requests. • Architect end-to-end solutions integrating Generative AI APIs and frameworks to meet business requirements. • Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to define technical requirements. • Evaluate and select appropriate technologies, tools, and frameworks for scalability, performance, and security. • Create and maintain architectural documentation, design patterns, and best practices. • Optimize system performance, reliability, and cost efficiency, ensuring scalability to handle peak loads. • Stay updated on emerging Gen AI technologies, APIs, and industry trends, and assess their potential impact. • Lead technical discussions, mentor engineering teams, and drive the adoption of architectural best practices. • Work closely with DevOps teams to implement CI/CD pipelines, monitoring, and incident management systems. Qualifications: Required Skills: • 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. Preferred Skills: • Experience with Machine Learning pipelines, model serving, and inference optimization. • Knowledge of AI frameworks such as TensorFlow, PyTorch, or Hugging Face Transformers. • Hands-on experience with monitoring and observability tools like Prometheus, Grafana, or New Relic. • Exposure to event-driven architectures and message brokers like Kafka or RabbitMQ. • Background in optimizing cost and performance for high-traffic systems. Education & Experience: • 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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