Required Qualifications
12+ years of technology experience, including 5+ years in AI/ML, Generative AI, or intelligent automation.
Strong experience with LLM applications, Agentic AI, multi-agent systems, RAG, embeddings, vector search, prompt engineering, and AI evaluation.
Experience with enterprise AI architecture, microservices, APIs, event-driven architecture, containers, and cloud-native deployment.
Hands-on knowledge of Claude, Gemini, Codex, Azure OpenAI, or equivalent enterprise LLM platforms.
Proficiency in Python and working knowledge of Java and/or TypeScript, REST APIs, FastAPI, Git, CI/CD, Docker, and Kubernetes.
Strong knowledge of responsible AI, security, privacy, model-risk controls, monitoring, and production-support practices.
Strong customer-facing communication, architecture presentation, and cross-functional leadership skills.
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