Review and approve AI solution architectures, code quality, prompt engineering standards, and integration patterns to ensure scalability and maintainability.
Own the innovation pipeline end to end - idea generation, validation, prioritisation, proof-of-concept and scaling - and be the person accountable for what moves and what doesn't.
Analyse stakeholder requirements and design comprehensive application and infrastructure system architectures for both bespoke applications (custom developed) and COTS based solutions, addressing both functional and non-functional aspects
Participate in architecture and design reviews to ensure decisions align with delivery timelines, business priorities, and quality standards — partnering with your team’s Lead Software Engineer(s), who hold technical design authority , and stepping in hands-on only when the team needs unblocking.
Database Technologies: In-depth knowledge of various database technologies, including but not limited to Hadoop, Teradata, SAS, Oracle, MS SQL, Postgres, and Cassandra DB.
Work regularly with engineers to engage in conversations regarding their performance, professional growth, offering constructive feedback, mentoring, and guidance as needed.
Participate in CIP (Continuous Improvement Program) and PCN (Product Change Notification) projects, contributing to the delivery of new features and solutions.