Sr. AI Architect

Experion Technologies · Kochi

Source and collection record

Last observed by our collector: 8 October 2026 at 11:24 pm IST. This is not a manual review or a confirmation from the employer.

Employer requisition: sr-ai-architect

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Collected role description

Job Purpose We are seeking a highly experienced Sr. AI Architect with 15+ years in data and AI engineering, and deep hands-on expertise in Agentic AI systems, multi-LLM architecture, GenAI, Retrieval-Augmented Generation (RAG), and AI platform governance. This role will lead the design and implementation of enterprise-grade AI solutions built on the Multi cloud ecosystem, combining architectural leadership with active engineering involvement. The ideal candidate must be able to operate at both: Strategic architecture level Hands-on implementation level Job Description / Duties Strong expertise in Machine Learning, Deep Learning, and Statistical Modelling. Experience in supervised, unsupervised, and reinforcement learning techniques Hands-on experience with predictive analytics, anomaly detection, recommendation systems, NLP, and computer vision Strong understanding of feature engineering, model training, tuning, validation, and deployment Experience with MLOps frameworks and model lifecycle management. Define AI/ML solution architecture and oversee implementation across projects using Microsoft Azure & AWS/GCP services. Lead and mentor a team of AI engineers and data scientists. Own the end-to-end lifecycle of AI models - from ideation and data acquisition to deployment and monitoring. Partner with business stakeholders to translate requirements into AI solutions. Evaluate emerging tools, frameworks, and platforms for AI/ML development. Drive standardization, code quality, and best practices across the AI engineering team. Ensure ethical, explainable, and compliant AI practices. Define LLM routing, fallback, and evaluation strategies Design and implement autonomous AI agents using Azure OpenAI Service and Azure AI Studio Build multi-agent orchestration systems Implement memory management (short-term & vector-based long-term memory) Design agent safety guardrails and oversight mechanisms Architect end-to-end RAG pipelines Implement hybrid search (semantic + keyword) Optimize retrieval grounding and hallucination mitigation Tune prompts and evaluate model performance Job Specification / Skills Bachelor’s or master’s degree in computer science, Artificial Intelligence, or a related field. 10+ years of experience in AI/ML development with demonstrated leadership in delivering production-grade AI solutions. Deep expertise in machine learning, deep learning, NLP, or computer vision. Experience with model architecture design, feature stores, model monitoring. Strong experience with MLOps, DevOps for ML, and deployment tools (Docker, Kubernetes, MLflow, Airflow). Solid understanding of cloud AI/ML offerings (Azure ML, SageMaker, Vertex AI). Proven ability to lead technical teams and manage delivery timelines.

Collected experience requirement

10+ Years