Teams at Vericast

Leads hands-on design, development, deployment, and support of enterprise agentic AI applications. Designs multi-agent workflows, RAG pipelines, vector search, MCP integrations, and LLM solutions. Provides technical leadership, code reviews, mentorship, and architectural guidance while establishing engineering standards for CI/CD, testing, security, scalability, and responsible AI. Partners with executives and stakeholders to translate AI strategy into delivery plans and evaluates emerging AI technologies.

Lead experimentation, causal inference, advanced analytics, machine learning, and Generative AI initiatives. Design and analyze marketing and product experiments, build scalable predictive and prescriptive models, establish statistical governance, develop data pipelines, influence executive stakeholders, and mentor data scientists. Translate complex business challenges into measurable analytical solutions across marketing, product, sales, risk, and compliance functions.

Build and support scalable data pipelines, integrations, and lakehouse architecture for marketing, analytics, reporting, and AI applications. Develop data models, monitor data quality, troubleshoot production issues, and provide post-deployment support. Collaborate with analytics, data science, AI, business, and engineering teams to improve data accessibility and long-term platform strategy.