Generative AI Engineer

Minimum of 10 years of experience in data analytics, with at least 5 years in a management role managing large-scale data analytics projects.

Experience in development or deployment of enterprise grade project, RAG concept, need managing resources experience and engaging higher management/stakeholders.

Responsibilities:

Strategic Leadership

• Develop and implement the strategic vision for the data analytics platform, ensuring alignment with organizational goals and objectives.

• Lead the design, development, and maintenance of a robust cloud data platform architecture, leveraging Databricks Lakehouse, AI, and ML technologies.

• Oversee the creation of blueprints, roadmaps, and reference architectures for the data analytics infrastructure and services.

Please see the high-level pointers:

• Proficiency in cloud-native architectures and services on both Azure and AWS.

• Track record of leading end-to-end delivery of generative AI projects or AI-powered platforms.

• Ability to translate business requirements into technical solutions and manage delivery timelines.

• Experience coordinating cross-functional teams including developers, cloud engineers, and possibly data scientists.

• Experience mentoring and providing technical guidance to developers and engineers.

• Knowledge of cloud security best practices, identity and access management, and data privacy considerations relevant to AI workloads.

• Ability to troubleshoot complex technical issues related to AI model deployment and cloud infrastructure.

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