AI Senior Technology Architect

Job Description:
Role: AI Senior Technology Architect
Location: Remote and need once in a month at Dallas, TX - office 

 ## Role Overview

 We are looking for a visionary **AI Senior Technology Architect** to lead enterprise-scale AI transformation initiatives. This role requires deep expertise in **Generative AI, Agentic AI systems, AI infrastructure, and cloud-native architectures**, with a strong focus on delivering scalable, high-performance AI solutions and driving business impact.

 This role is critical to driving AI-first enterprise strategy, enabling next-generation capabilities through **Agentic AI, LLM ecosystems, and edge intelligence** while delivering measurable business value.

 ## Key Responsibilities

 * Define and govern enterprise AI architecture including **LLMs, RAG, Agentic AI, and Edge AI systems**.

* Establish reference architectures for cloud-native AI, GPU-based inferencing, and distributed workloads.

* Architect and deploy LLM-powered solutions using **RAG, embeddings, vector databases, and orchestration frameworks**.

* Design Agentic AI workflows leveraging tools such as **LangChain, LangGraph, Azure AI, and Databricks**.

* Lead AI infrastructure strategy including **GPU optimization** and high-performance compute environments.

* Build and scale AI platforms across **AWS, Azure, and Google Cloud Platform** ecosystems.

* Lead development of advanced AI/ML models across **NLP, computer vision, graph ML, and forecasting** domains.

* Architect Edge AI solutions for low-latency, distributed decision-making systems.

* Establish governance for responsible AI, security, and compliance.

* Mentor teams and drive innovation and capability development.

 ## Required Qualifications

 * 15+ years of experience in **AI/ML, Data Science, or Technology Architecture**.

* Strong expertise in **Generative AI, LLMs, RAG, and Agentic AI systems**.

* Proficient in **Python, APIs, microservices, and data engineering frameworks**.

* Experience with cloud platforms (**AWS, Azure, Google Cloud Platform**) and containerization technologies.

* Deep understanding of AI infrastructure including **GPU optimization and benchmarking**.

* Proven ability to lead large-scale transformation programs.

 ## Preferred Qualifications & Experience

 * Experience in **banking, telecom, healthcare, energy, or supply chain** domains.

* Exposure to **Edge AI, O-RAN architectures, and distributed systems**.

* Advanced degree (**PhD/Master''s**) in AI, Data Science, or related field.

* Experience in **enterprise adoption of AI platforms and architecture standards**.

* Experience in **scalable deployment of AI solutions delivering measurable outcomes**.