Senior Architect

ABOUT THE ROLEWe 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