
Chief AI Architect
14 hours ago
Reimagining the Frontiers of Personalized Insights
We seek an experienced leader to spearhead the development and deployment of AI-driven, agent-based workflows that redefine the future of personalized insights.
Key ResponsibilitiesAI & Agentic Workflows- Design and implement advanced RAG pipelines for semantic search, personalization, and contextual enrichment.
- Develop agentic AI workflows using Pinecone, LangChain/LangGraph, and custom orchestration.
- Integrate LLM-driven features into production systems, balancing innovation with scalability.
- Architect and optimize vector databases (Pinecone, FAISS, Milvus) for low-latency retrieval.
- Work with structured/unstructured datasets for embedding, indexing, and enrichment.
- Collaborate with data engineers on ETL/ELT pipelines to prepare data for AI applications.
- Partner with backend and frontend engineers to integrate AI features into user-facing products.
- Participate in Agile ceremonies (sprint planning, reviews, standups).
- Maintain clear documentation and support knowledge sharing across the AI team.
Tech Stack: AI Tools - Pinecone, LangChain, LangGraph, OpenAI APIs; Languages - Python, Node.js; Cloud & DevOps - AWS, Docker, CI/CD pipelines; Data Engineering - SQL, Python, ETL/ELT workflows, Databases - Postgres, DynamoDB, Redis.
Required Qualifications- 5+ years in AI/ML engineering or software engineering with applied AI focus.
- Hands-on experience with RAG pipelines, vector databases, and LLM integration.
- Strong background in Python for AI workflows.
- Familiarity with agentic architectures.
- Experience deploying and scaling AI features on AWS cloud environments.
- Strong collaboration and communication skills.
Preferred Skills: Experience with embedding models, HuggingFace Transformers, or fine-tuning LLMs; Knowledge of compliance frameworks; Exposure to personalization engines, recommender systems, or conversational AI.
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