Senior Architect

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 into technical 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, Azure OpenAI) 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, Helm Nice 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