Contract role of AI/ML ENgineer-----ONSITE-----TX

[pragati]

Hello,

Hope you are doing well. 

H1B/H4EAD

Local of TX

12+Exp

Please check the below role and let me know your interest.

Role: AI/ML Engineer

Location :  Dallas TX (ONSITE)

Duration : Long -Term 

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