Haystack
← Back to Jobs
Other
E-

AI Lead Location: Dallas TX (100% Onsite)

E-Solutions, Inc.Dallas, TX🇺🇸United StatesPosted 13 Aug 2026

Quick Overview

Work Type
On Site
Level
Mid Senior

Job Description

 

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

Skills

AWS
MLOps
Azure
Compliance
Generative AI
Google Cloud
LLM
Python
Stakeholder Management

Similar jobs