Design and build autonomous agentic workflows utilizing Machine Learning and generative AI technologies as part of a fully autonomous or human-in-the-loop agentic workflow. Partner with client leads (business user) to identify high-impact AI use cases. Translate these into product requirement documents (PRDs), clearly defining critical user journeys (CUJs) and success metrics. Evaluate and integrate AI solutions with modern data foundations, including relational databases, data lake houses, and real-time streaming architectures.
Ensure all prototypes are built with a "production-first" mindset. Implement basic CI/CD pipelines and utilize infrastructure-as-code (IaC) (e.g., Terraform) to ensure environments are reproducible and secure. Create clear technical guides to ensure a seamless hand-off from proof-of-concept (POC) to engineering teams.
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