Description

Lead the design and integration of scalable architectures that incorporate Generative AI into existing business systems.

Responsibilities

• Design and develop secure architectures integrating GenAI solutions with enterprise applications.
• Oversee microservices-based architectures and RESTful APIs to ensure modularity.
• Lead cloud strategy and implementation using AWS serverless and managed services.
• Automate workflows, data pipelines, and AI model processes using Python and PySpark.
• Collaborate with product teams, DevOps, and data scientists to align technical designs with business requirements.

Required Skills

• 8+ years of experience in solution architecture including hands-on development.
• Expertise in Generative AI models and their integration into business processes.
• Proven experience designing cloud solutions with AWS (Lambda, API Gateway, S3, EC2, EMR, Athena).
• Strong knowledge of microservices architecture and API development.
• Proficiency in Python and PySpark for scripting and building data pipelines.
• Hands-on experience with serverless architectures and event-driven systems.
• Knowledge of Snowflake or other cloud databases.
• Familiarity with CI/CD pipelines, DevOps practices, and Git.
• Solid understanding of API security including OAuth and JWT.

Preferred Skills

• Bachelor's degree in Computer Science.

Key Skills

Education

Bachelor's degree in Computer Science