Gen AI Architect - Dallas, TX - Long term

Job Title: Gen AI Architect
Location: Onsite, Dallas, TX

Long term

Job ID: 26-39264
Job Description

seeking an experienced Generative AI Architect to lead the design, development, and implementation of enterprise-scale AI solutions. This role requires a strong combination of AI architecture expertise, hands-on software development experience, and business acumen to identify, prioritize, and deliver GenAI use cases that drive measurable business value.

The ideal candidate will work closely with business stakeholders, product teams, and engineering organizations to translate business challenges into scalable AI solutions leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, and modern cloud-based AI platforms.

Key Responsibilities

AI Strategy & Use Case Identification

Partner with business leaders to identify, evaluate, and prioritize GenAI use cases across the organization.Conduct discovery workshops to understand business processes, pain points, and automation opportunities.Define AI roadmaps, business cases, ROI metrics, and implementation strategies.Assess feasibility, risks, and technical requirements for AI initiatives.Solution Architecture

Design end-to-end GenAI architectures using cloud-native and enterprise AI platforms.Architect solutions utilizing:Large Language Models (OpenAI, Azure OpenAI, Claude, Gemini, Llama)Retrieval-Augmented Generation (RAG)AI Agents and Agentic WorkflowsVector DatabasesKnowledge GraphsPrompt Engineering FrameworksDevelop scalable and secure AI integration patterns with enterprise applications and data ecosystems.Establish architecture standards, governance models, and AI best practices.Hands-On Development Leadership

Provide technical leadership and actively contribute to development efforts.Build and prototype AI-powered applications, copilots, chatbots, and intelligent automation solutions.Develop APIs, microservices, and backend services supporting AI initiatives.Lead implementation of:LangChainLangGraphSemantic KernelLlamaIndexAutoGenCrewAI or similar agent frameworksGuide engineering teams through solution development, testing, and deployment.Data & Platform Architecture

Design data pipelines supporting AI applications.Collaborate with data engineering teams to establish vector search and document processing frameworks.Implement secure data governance, compliance, and responsible AI practices.Optimize model performance, latency, scalability, and cost.Stakeholder Engagement

Present technical solutions and AI strategy to executive leadership.Mentor developers, architects, and engineering teams on GenAI best practices.Collaborate across product, engineering, security, and business teams.
Skills:
Application Programming Interface (API), Artificial Intelligence (AI), Artificial Intelligence (AI) Agents, Automation, Best Practices, Business Case, Business Processes, Business Skills, Cloud Architecture, Cloud Computing, Conversation Engine, Data Management, Ecosystems, Enterprise Application Integration (EAI), Establish Priorities, Feasibility Analysis, Information/Data Security (InfoSec), Kernel Programming, Leadership, Mentoring, Metrics, Microservices, Microsoft Windows Azure, Modeling Languages, Performance Modeling, Performance Tuning/Optimization, Product Engineering, Prototyping, Requirements Management, Return on Investment (ROI), Risk Analysis, Scalable System Development, Software Administration, Software Development, Technical Leadership, Technical Presentation, Test Plan/Schedule, Use Cases

Artech LLC