Artificial Intelligence Architect

Hiring For: AI ArchitectLocation: Dallas TXDuration: 6-12 MonthsRate : $65/Hr on W2Technical Expert – Agentic AI & Enterprise PlatformsKey ResponsibilitiesArchitect and develop enterprise-grade Agentic AI, Generative AI, and Machine Learning solutions.Design and implement intelligent workflows, multi-agent systems, and AI orchestration frameworks.Build and optimize custom machine learning models for classification, prediction, segmentation, recommendation, and analytics use cases.Lead development of RAG (Retrieval-Augmented Generation), semantic search, and knowledge retrieval solutions.Design scalable data pipelines leveraging Snowflake, Databricks, and cloud-native technologies.Develop and deploy AI services, APIs, and microservices for production environments.Define architecture standards, coding best practices, governance, security, and performance guidelines.Mentor developers, conduct design reviews, and drive technical excellence across teams.Evaluate emerging AI technologies and recommend adoption strategies.Required QualificationsBachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.10+ years of experience in software engineering, solution architecture, or platform engineering.5+ years of experience building AI/ML solutions in enterprise environments.Strong hands-on programming experience in Python.Proven experience leading architecture and development of large-scale distributed systems.Technical SkillsAI / Machine LearningGenerative AI and Large Language Models (LLMs)Agentic AI and Multi-Agent SystemsRAG Architecture and Semantic SearchPrompt EngineeringFine-Tuning and Model EvaluationCustom ML Model DevelopmentMachine Learning TechniquesClassification ModelsClustering ModelsRecommendation SystemsPredictive AnalyticsFeature EngineeringMLOps and Model Lifecycle ManagementFrameworks & LibrariesLangGraphAutoGenLangChainCrewAI (preferred)MCP (Model Context Protocol)OpenAI APIsAnthropic Claude APIsHugging Face EcosystemScikit-LearnXGBoostPyTorchTensorFlow (preferred)Data & Analytics PlatformsSnowflakeDatabricksSQLData EngineeringVector DatabasesFeature StoresData Warehousing ConceptsBackend & APIsPythonFlaskREST APIsFastAPI (good to have)Microservices ArchitectureEvent-Driven ArchitectureCloud & DevOpsMicrosoft AzureAzure Kubernetes Service (AKS)DockerKubernetesCI/CD PipelinesAzure DevOpsGitHubFront-End (Good to Have)ReactAngularPreferred ExperienceBuilding enterprise AI assistants and conversational platforms.Developing AI-powered analytics and decision-support systems.Designing agent orchestration frameworks and workflow automation platforms.Working with telecom, marketing analytics, customer intelligence, or large-scale enterprise datasets.Experience handling datasets with millions of records and deploying AI solutions at scale.Exposure to AI governance, responsible AI, and model monitoring frameworks.