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Gen AI Architect

Technocraft Solutions

 

Dallas, TX, USA

Posted On: 9 days ago
Experience: 5+ years
Availability: Onsite
Openings: 1
Category: Gen AI Architect
Tenure: Contract - Corp-to-Corp
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Description

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 Workflows
    • Vector Databases
    • Knowledge Graphs
    • Prompt Engineering Frameworks
  • Develop 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:
    • LangChain
    • LangGraph
    • Semantic Kernel
    • LlamaIndex
    • AutoGen
    • CrewAI or similar agent frameworks
  • Guide 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

Education

Bachelor's degree

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