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Architect, build, and deploy production-grade AI/ML platforms and LLM/RAG solutions. Lead system design, CI/CD and Terraform-based IaC, ensure reliability and monitoring, mentor engineers, run incident response, and prototype emerging AI technologies.

Design and lead development of a high-performance, multi-cloud AI platform and context layer for agentic workflows. Own the data lakehouse roadmap, context retrieval infrastructure, agent orchestration interfaces, MCP interoperability, HITL safeguards, and AI-native operational capabilities. Establish engineering standards, CI/CD, GitOps, infrastructure-as-code, observability, and cloud governance practices while guiding architecture decisions across teams and optimizing performance, security, and cost.

Manage merchant and POS vendor certification lifecycles from initiation through production release. Create and troubleshoot technical test scripts, configure payment test environments, establish secure connectivity, query SQL databases, validate transaction data, support post-launch stabilization, resolve authorization and terminal issues, and ensure compliance with payment interface specifications. Lead stakeholder meetings and identify opportunities for AI-assisted diagnostics and process automation.

The Principal AI/ML Engineer will lead the development of AI/ML platforms, drive technology architecture, ensure quality and integration, and provide strategic leadership while managing a team of engineers.