What you will do:

• Be part of SD Architecture Board to define and maintain the technology roadmap and technical guidelines for the organization.
• Provide technical guidance and oversight to development teams to ensure alignment with Software Technology areas.
• Evaluate emerging technologies (including AI/ML application stacks) and trends to make recommendations for their adoption and integration into the organization's AI/ML strategy.
• Lead the design and implementation of scalable and innovative technology solutions.
• Collaborate with stakeholders to understand business requirements and translate them into effective technology solutions.

The skills you bring:

• In-depth knowledge of System architecture and Agile ways of working.
• Hands-on experience with wide range of technologies, including but not limited to Java, J2EE, Python, Ansible, Microservices, API design patterns, Webservices, DevOps, Kubernetes, Docker, JIRA, Messaging, security, Elastic search, JIRA, and non-functional aspects of application development.
• Comprehensive understanding of multi-cloud architectures, technologies, and services across major cloud providers such as AWS, Azure, and Google Cloud Platform.
• Proven experience as an AI/ML Architect with a strong background in designing and implementing enterprise-level AI/ML solutions.
• Familiarity with RAG (Retrieval-Augmented Generation) models and their application in natural language processing and content generation
• Experience in natural language processing (NLP) techniques, including text analysis, language modelling, and sentiment analysis.
• Good to have:
• Certifications: Kubernetes, Architect/professional certifications in any HCP (AWS, GCP, Azure), AI/Data specializations in HCP’s are a plus.
  • Exposure to Marketplace development platform and community building initiatives.