Description

Key Responsibilities
· Architectural Design: Lead the design and development of scalable, secure, and high-performance architectures, integrating GenAI solutions with existing systems.
· GenAI Integration: Develop and implement solutions leveraging Generative AI to enhance business applications and customer experiences.
· Microservices & API Development: Design and oversee the development of microservices based architectures and RESTful APIs that ensure modularity, scalability, and ease of integration.
· AWS Cloud Expertise: Lead the cloud strategy and implementation using AWS services such as Lambda, API Gateway, EC2, S3, and other serverless and managed services.
· Scripting & Automation: Utilize Python and PySpark for automating workflows, data pipelines, and building AI models for processing large datasets.
· Serverless Architecture: Design and implement serverless solutions using AWS Lambda and other cloud native services to improve scalability and reduce infrastructure management overhead.
· Technical Leadership: Provide technical leadership to development teams, ensuring best practices are followed in design, coding, testing, and deployment.
· Cross functional Collaboration: Work closely with product teams, DevOps, data scientists, and other stakeholders to align architectural solutions with business goals.
· Security & Compliance: Ensure all architectural designs meet industry standards for security, compliance, and data governance.

Required Skills:
· 8+ years of experience in solution architecture, including hands on development.
· Expertise in Generative AI models, their integration, and application in business processes.
· Strong knowledge of Microservices architecture and API development.
· Proven experience in designing cloud solutions using AWS services (e.g., Lambda, API Gateway, S3, EC2, EMR, Athena).
· Good knowledge of Snowflake or other cloud databases
· Proficiency in Python and PySpark for scripting, automation, and building data pipelines.
· Handson experience with serverless architectures and event driven systems.
· Familiarity with CI/CD pipelines, DevOps practices and GIT
· Solid understanding of API security (OAuth, JWT, etc.) and cloud security best practices.

Education

Bachelor's degree in Computer Science