Senior Architect – Artificial Intelligence

September 23, 2026
Application ends: December 22, 2026
Apply Now

Job Description

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

Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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