Generative AI Architect Full-time

Responsibilities
• Collect architecture requirements for system/ application from multiple stakeholders
• Anchor technology comparison and selection activities supported by PoCs
• Define application architecture – logical, technical, information & deployment
• Communicate architecture to project teams & business users
• Implement architecture by guiding project teams
• Anchor NFRs implementation & validation in project
• Drive standards and reuse in project implementation
• Work closely with Data scientists to embed/ integrated ML models in application
• Explore new advances in technology continuously and execute PoCs in emerging areas
• Identify solution ideas and develop new solutions
• Mentor junior team members & evangelize new technologies in organization

Additional Responsibilities:
• Min. 9+ years of relevant experience
• In-depth knowledge of design issues and best practices
• Solid understanding of object-oriented programming
• Familiar with various design, architectural patterns and software development process.
• Experience with both external and embedded databases
• Creating database schemas that represent and support business processes
• Implementing automated testing platforms and unit tests
• Good verbal and written communication skills
• Ability to communicate with remote teams in effective manner
• High flexibility to travel

Technical and Professional Requirements:
• J2EE – full stack, Python
• Containerization – Docker, Docker registry, Kubernetes, OpenShift
• ML Ops – Kubeflow/ ML Flow/ Airflow/ Data Robot
• Cloud platform architecture & AI capabilities on Cloud – Azure, AWS, GCP
• Knowledge of architecture and design patterns
• Past experience of playing Technical Architect role

Preferred Skills:

Technology->Architecture->Architecture – ALL,Technology->Machine Learning->Accord,Technology->Machine Learning->AI/ML Solution Architecture and Design->generative ai