AI Architect

RESPONSIBILITIES

• Architect and design complex systems that integrate GenAI applications, machine learning models, and cloud infrastructure.

• Lead and manage a diverse, cross-functional team of engineers, ensuring the delivery of high-quality, scalable solutions.

• Engage in hands-on coding, technical design, and problem-solving to drive innovation and excellence.

• Make critical architectural decisions to optimize performance, scalability, and reliability of systems.

• Collaborate with stakeholders to align technological solutions with business objectives.

• Stay updated with emerging technologies and industry best practices to ensure continuous improvement.

SKILL REQUIREMENTS

• Hands-on experience in GCP, Data Engineering, or Dev Ops is highly advantageous.

• Minimum 8+ years of hands-on experience in software engineering, with at least 3+ years in a leadership role managing cross-functional teams.

• Proficiency in designing and developing large-scale systems, including GenAI, API architectures, data systems, and cloud-native applications.

• Strong programming skills in Python, JavaScript, Java, or other backend languages.

• Experience with API development (RESTful APIs, Graph

QL).

• Extensive experience in building and deploying ML models using Tensor Flow, PyTorch, scikit-learn, and spaCy.

• Strong leadership and team management skills, with excellent problem-solving abilities and effective communication skills.

• Familiarity with industry best practices and emerging technologies in AI and machine learning.