About the Role We're hiring an Application Architect to lead how AI gets built into our enterprise systems. What You'll Do Design how AI models plug into our core systems and applicationsIntegrate LLMs and AI frameworks using tools like LangChain or Semantic KernelBuild RAG pipelines and work with vector databases where neededSet up APIs and microservices to connect AI into the broader tech stackEvaluate AI platforms for cost, performance, and compliance fitHandle data privacy, model risk, and monitoring for anything in productionWork closely with data science, engineering, and infrastructure teamsGuide junior developers and advise leadership on what's realisticWhat You Need 8+ years in application/solution architecture, 3+ in AI/ML integrationHands on experience with LangChain, Hugging Face, TensorFlow, or similarExperience with LLM platforms: OpenAI, Anthropic, Azure OpenAI, AWS AzureStrong grasp of RAG, vector databases (Pinecone, Weaviate, FAISS)Solid background in APIs, microservices, event driven architectureComfortable in AWS,Strong coding skills in Python, JavaUnderstanding of MLOps/LLMOpsBachelor's or Master's in Computer Science or related fieldNice to Have
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