AI Lead Location: Dallas TX (100% Onsite)

The ideal candidate will have deep expertise in GenAI architecture, LLM-based systems, and multi-agent workflows, along with strong hands-on experience in Python, API integration and cloud platforms such as Google Cloud Platform. integrated with enterprise systems Collaborate with business stakeholders to translate cash, billing, and financial processes into AI-driven automation use cases Drive AI strategy, roadmap, and governance, including responsible AI, evaluation, and monitoring Provide technical leadership and mentorship to AI/ML engineers and architects Lead POCs, accelerators, and production deployments of GenAI-based systems Ensure performance optimization, cost efficiency, and scalability of AI solutions in cloud environments Work closely with data engineering teams for data pipelines, vector databases, and embeddings architecture Must-Have Skills & Experience 12–15 years of total experience with strong exposure to AI/ML and software engineering Hands-on experience in Agentic AI projects (multi-agent systems, orchestration, autonomous workflows) Deep expertise in Generative AI architecture and LLM-based systems Strong programming skills in Python (LLM integrations, frameworks, APIs) Strong hands-on experience with Vertex AI and Google Cloud Platform ecosystem Expertise in LLM frameworks (LangChain, LangGraph, Semantic Kernel, etc.) Solid understanding of enterprise architecture patterns for GenAI platforms Good knowledge of cash flow, billing, and financial business processes Experience in designing scalable, production-grade AI systems

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