AI Lead Location: Dallas TX (100% Onsite)

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

AI Lead2Generative AIN/AC2C,W-2,1099,C2H,Part Time,Full Time,Other,Intern,Pass Through,Contract,SOLUTIONS,Hourly,Contract to Perm,W2,W2 - Profit Sharing,Sub-con,Permanent,Full TImeUnited States