GenAI Architect

Job Title: GenAI Architect

Location: Gurugram

Job 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.