Define the architecture of the system that can cater to the Semantic Search capabilities as a part of CDP.
Explore multiple ways in which the vectorized data can be persisted optimally.
Stay up-to-date with the latest advancements in the Semantic Search algorithms and make decisions of integrating new algorithms into the platform.
Be abreast of Generative AI techniques and implementation of new algorithms and architectures as appropriate.
Collaborate with cross-functional teams to identify and prioritize the different business use cases by leveraging the internally available AI models or developing new models to support them.
Develop and implement best practices for Semantic Search engine capabilities, training, and tuning.
Communicate technical concepts and results to both technical and non-technical stakeholders.

BS/BE/BTech, MS/ME/MTech or Ph.D. in Computer Science or related field
15+ years relevant industry experience designing and developing enterprise software with a strong understanding of scaling and performance
Hands-on programmer with strong data structures and algorithms skills.
Java experience required.
Excellent debugging skills across various components in a n-tiered stack.
Ability to convert a Marketing PRD/Feature description into a technical design document.
Mentor junior members of the team and delegate project tasks.
Strong oral and written communication skills.
Ability to work effectively on cross-functional projects.
Experience with one of Apache HBase, Phoenix and one of Lucene, Solr , or Open Search open source projects or an RDBMS
Experience with the Hadoop ecosystem
Experience with public cloud infrastructures such as Microsoft Azure, Amazon Web Services and Google Cloud Platform.

Principal Engineer I – Semantic Search

Key skills