AI Senior Technology Architect, Enterprise AI Solutions
Overview
Own the architecture and delivery of enterprise-scale AI solutions, from Generative AI to Agentic AI systems, at TechVirtue LLC in Dallas, TX. You lead multi-disciplinary teams across cloud-native AWS, Azure, or GCP environments, ensuring scalability and business impact. This role blends deep technical vision with strategic roadmap execution, requiring a hybrid presence with monthly on-site engagement. You will drive innovation in AI architecture that directly shapes products and operations.
What You'll Do7
- 1Architect end-to-end AI platforms for Generative AI and Agentic AI workloads, ensuring high availability and performance.
- 2Design cloud-native infrastructure on AWS, Azure, or GCP to support large-scale model training and inference.
- 3Lead the integration of RAG, vector databases, and LangChain into production systems.
- 4Define AI governance frameworks covering data privacy, security, and compliance.
- 5Collaborate with data scientists and engineers to deploy LLM solutions, optimizing for cost and latency.
- 6Drive technical strategy for AI adoption across departments, aligning with business goals.
- 7Mentor engineers in AI best practices, fostering a culture of experimentation and rigor.
Requirements8
- 110+ years in technology architecture with 5+ years in AI/ML solutioning.
- 2Proven expertise in Generative AI models like GPT, BERT, and Diffusion models.
- 3Hands-on with AWS, Azure, or GCP for AI workloads, including SageMaker, Azure ML, or Vertex AI.
- 4Strong knowledge of Kubernetes, Docker, and CI/CD for ML pipelines.
- 5Experience with Python, PyTorch, or TensorFlow for model development.
- 6Familiarity with RAG, vector databases (like Pinecone or Weaviate), and LangChain.
- 7Understanding of AI ethics, bias mitigation, and responsible AI practices.
- 8Excellent communication skills to articulate complex technical concepts to stakeholders.
Salary Insight
$60 - $65k per year
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