AIonOS - Engineering Architect - Scalable & Distributed Systems (10-12 yrs)

About the job :

Job Title : Engineering Architect (Scalable Systems & Generative AI)

Location : Hyderabad

Job Type : [Full-time]

Job Description

We are seeking an experienced Engineering 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 (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 (Docker) and orchestration tools (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).

- 10+ years of experience in system architecture, distributed systems, and scalable application development.