Sr. AI Architect

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.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.