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ABOUT THE ROLE: We are looking for a visionary Senior Architect (AI) to design and lead the development of scalable, enterprise-grade AI systems. You will be responsible for defining the technical blueprint of our AI platform, guiding engineering teams, and ensuring alignment between business goals and technology strategy.
KEY RESPONSIBILITIES:
• Define and drive the overall AI/ML architecture strategy across the organization
• Design scalable, resilient, and secure AI pipelines and platforms
• Lead the evaluation and adoption of AI frameworks, LLM APIs, and vector databases
• Collaborate with Product, Engineering, and Business leaders to translate requirements intotechnical roadmaps
• Establish best practices for model lifecycle management, MLOps, and responsible AI• Conduct architecture reviews, code reviews, and technical design sessions
• Mentor senior engineers and provide technical leadership across squads
• Drive proof-of-concepts (PoCs) for emerging AI technologies and recommend adoption
• Ensure compliance with data privacy regulations (GDPR, DPDPA) in AI systems
• Own non-functional requirements: scalability, latency, availability, and cost optimization
KEY SKILLS & REQUIREMENTS:
• Deep expertise in AI/ML architecture patterns: RAG, agentic AI, multi-model orchestration• Proficiency with LLM ecosystems: OpenAI, Anthropic Claude, Google Gemini, open-source LLMs(Llama, Mistral)
• Strong knowledge of vector databases: Pinecone, Weaviate, pgvector, ChromaDB
• Cloud architecture expertise: AWS, GCP, or Azure (AI/ML services — SageMaker, Vertex AI, AzureOpenAI)
• Experience with MLOps tools: MLflow, Kubeflow, Weights & Biases
• Proficiency in Python for AI/ML; working knowledge of Node.js or Java for backend integration
• Knowledge of data engineering: Spark, Kafka, dbt, Airflow
• Strong understanding of microservices, API design, and event-driven architecture
• Familiarity with AI governance, model evaluation frameworks, and prompt engineering
• Experience with containerization: Docker, Kubernetes, HelmNice to have
• Experience with agentic frameworks: LangChain, LlamaIndex, AutoGen, CrewAI
• Published research or open-source contributions in AI/ML
• Exposure to multi-modal AI (vision, voice, video) systems
• Prior startup or product-led company experience
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