AI Architect

Dallas, TX – Fulltime – Independent VISA holders only

Must Have Technical/Functional Skills

• Azure ML, Azure OpenAI, Cognitive Services, Agentic Framework
• Databricks, Synapse, Data Factory
• AKS, Docker, Kubernetes
• Python, REST APIs
• GitHub / Azure DevOps, ML OPS

Responsibilities

• Design and implement Azure-based Agentic AI solutions leveraging Azure OpenAI, Azure AI Services, and multi-agent orchestration frameworks for enterprise use cases.
• Architect enterprise AI platforms using Azure AI Foundry, Agent Services, APIs, and modern data pipelines to enable scalable and reusable AI capabilities.
• Develop and orchestrate multi-agent workflows including reasoning, tool/function calling, memory management, and agent-to-agent communication.
• Integrate Generative AI, NLP, and ML models into enterprise applications using Azure OpenAI, Cognitive Services, and RAG-based architectures with Azure AI Search.
• Build AI-powered solutions such as copilots, virtual assistants, intelligent automation workflows, recommendation systems, and analytics platforms.
• Design end-to-end AI architecture layers including interaction, orchestration, integration, model enablement, and data layers aligned with enterprise standards.
• Evaluate and implement AI/ML models and tools based on performance, scalability, cost optimization, and use-case suitability.
• Ensure Responsible AI, governance, and security compliance using Azure capabilities such as Entra ID, Key Vault, Content Safety, and enterprise guardrails.
• Implement observability and LLMOps practices including monitoring, evaluation, drift detection, performance tuning, and telemetry using Azure Monitor and Application Insights.
• Collaborate with cross-functional stakeholders (product, engineering, business teams) to convert business requirements into scalable AI solutions.
• Develop architecture diagrams, technical documentation, and deployment strategies for enterprise AI platforms.
• Lead PoCs and innovation initiatives to validate AI use cases and accelerate production adoption.

Requirements

• Hands-on experience with Azure AI Services (Azure OpenAI, Cognitive Services, Azure AI Search)
• Strong experience in GenAI / LLMs, RAG, and prompt engineering
• Expertise in Agentic AI frameworks / multi-agent orchestration (LangGraph, LangSmith, LangChain, Semantic Kernel, etc.)
• Experience in Python and modern AI/ML frameworks
• Knowledge of vector databases, embeddings, and semantic search
• Experience with cloud-native architectures (Azure preferred)
• Strong understanding of APIs, microservices, and enterprise system integration

Good-to-Have

• Experience with Azure AI Foundry / Agent Services / Prompt Flow
• Knowledge of LLMOps / MLOps pipelines (CI/CD, evaluation frameworks)
• Experience with Databricks, Synapse, or modern data platforms
• Exposure to Responsible AI and governance frameworks
• Experience working in regulated industries (Healthcare, Pharma, etc.)