Technical Leadership & Solution Ownership: Lead the technical direction of AI initiatives by driving architecture decisions, establishing best practices, mentoring team members, and guiding the end-to-end delivery of scalable AI solutions.
Collaboration & Delivery: Work with Product Owner, Developers, Quality Engineers and UX Designers to deliver the Virtual Companion. Contribute to sprint planning, code reviews and documentation.
AI/ML Literacy: A strong grasp of LLM fundamentals, including tokens, temperature, top-p, and context windows.
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Proven hands-on experience with one or more programming languages (Java & SpringBoot preferred), scripting language and CICD/DevOps tooling (GitLab, Terraform, EKS) using modern technologies.
Ability to take ownership, collaborate closely with cross-functional teams and communicate clearly in an agile environment.
Solid understanding of cloud security, resilience, and operational best practices.
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