AI Lead

Role: AI Lead

Location: Dallas TX (100% Onsite)

contract

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 GCP.

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 GCP 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, GCP)
• 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

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