Azure Delivery Lead

Role: AI Lead Location: Dallas TX (100% Onsite)

Role Overview We are seeking a highly experienced AI Lead to drive the design and delivery of cutting-edge Agentic AI and Generative AI solutions . 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. This role requires a blend of technical leadership, solution architecture, and business understanding , especially around cash flow and billing processes , to build enterprise-grade AI solutions that deliver measurable business value.

Key Responsibilities Lead the end-to-end architecture, design, and implementation of Agentic AI and GenAI solutions across enterprise use cases Define and implement GenAI architecture patterns , including RAG, LLM orchestration, and multi-agent workflows Design and develop agentic AI frameworks involving orchestrator agents, tool usage, reasoning pipelines, and validation layers Build scalable AI solutions using LLMs (OpenAI, Gemini, Vertex AI, etc.) 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.) Experience in building: RAG pipelines Prompt engineering & context engineering Vector database integrations 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

Good to Have Experience with multi-cloud environments (Azure, AWS, Google Cloud Platform) Knowledge of MLOps / LLMOps / GenAI Ops practices Exposure to AI governance, security, and compliance frameworks Experience with fine-tuning, evaluation frameworks, and observability tools Prior experience in client-facing roles or consulting environments

Leadership & Soft Skills Strong stakeholder management and communication skills Ability to translate complex AI concepts into business outcomes Proven experience in leading and mentoring high-performing teams Strong problem-solving and decision-making capabilities

For applications and inquiries, contact:View email address on us.fitly.work