Job Title: Sr. AI Technology Architect

Location: Dallas, TX

Duration: Long Term Contract

Role Overview:

We are looking for a visionary AI Senior Technology Architect to lead enterprise-scale AI transformation initiatives. The ideal candidate will have deep expertise in Generative AI, Agentic AI, AI infrastructure, and cloud-native architectures, with a strong focus on delivering scalable, high-performance AI solutions that drive 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 using tools such as LangChain, LangGraph, Azure AI, and Databricks.
Lead AI infrastructure strategy, including GPU optimization and high-performance computing environments.
Build and scale AI platforms across AWS, Azure, and Google Cloud Platform.
Lead the development of advanced AI/ML models across NLP, Computer Vision, Graph ML, and Forecasting.
Architect Edge AI solutions for low-latency, distributed decision-making.
Establish governance for responsible AI, security, and compliance.
Mentor engineering 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.
Proficiency 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 AI 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 a related field.
Experience in enterprise adoption of AI platforms and architecture standards.
Proven experience in scalable deployment of AI solutions delivering measurable business outcomes.

Senior AI Architect

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