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Austin, TX, USA
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Required Technical Skill Set:
• Generative AI & LLMs (RAG, embeddings, prompt engineering)
• Agentic AI & GenAI frameworks (LangChain, LlamaIndex, LangGraph)
• Cloud AI platforms (Azure OpenAI, AWS Bedrock)
• Cloud architecture (AWS / Azure)
• MCP, API, microservices, and enterprise integrations
• MLOps / LLMOps, security & Responsible AI
Desired Experience Range:
• 20+ years of overall IT experience
• 3+ years of hands‑on experience in AI / ML / Generative AI solutioning
• Prior experience as Solution Architect / Cloud Architect / AI Architect
Desired Competencies (Technical/Behavioral Competency)
Strong understanding of LLMs and GenAI concepts (RAG, embeddings, vector databases, agents) Hands‑on experience with GenAI platforms such as:
AWS Bedrock & Azure OpenAI
Open‑source frameworks (LangChain, LlamaIndex, CrewAI, LangGraph, etc.) Cloud architecture expertise (AWS & Azure ) MCP, API, microservices, and integration architecture experience Data engineering and data platform knowledge (structured & unstructured data) Experience designing enterprise‑scale AI/ML or GenAI solutions Experience in agentic AI, workflow automation, or AI copilots Exposure to MLOps / LLMOps and model lifecycle management Strong understanding of non‑functional requirements: security, scalability, performance, cost Familiarity with Agile delivery models and DevSecOps practices Strong communication and presentation skills Ability to engage with senior stakeholders and customers Leadership and mentoring capabilities
Any Gradute
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