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:

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• Strategic architecture level
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• Hands-on implementation level
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Job Description / Duties

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• Strong expertise in Machine Learning, Deep Learning, and Statistical Modelling.
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• Experience in supervised, unsupervised, and reinforcement learning techniques
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• Hands-on experience with predictive analytics, anomaly detection, recommendation systems, NLP, and computer vision
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• Strong understanding of feature engineering, model training, tuning, validation, and deployment
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• Experience with MLOps frameworks and model lifecycle management.
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• Define AI/ML solution architecture and oversee implementation across projects using Microsoft Azure & AWS/GCP services.
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• Lead and mentor a team of AI engineers and data scientists.
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• Own the end-to-end lifecycle of AI models ? from ideation and data acquisition to deployment and monitoring.
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• Partner with business stakeholders to translate requirements into AI solutions.
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• Evaluate emerging tools, frameworks, and platforms for AI/ML development.
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• Drive standardization, code quality, and best practices across the AI engineering team.
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• Ensure ethical, explainable, and compliant AI practices.
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• Define LLM routing, fallback, and evaluation strategies
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• Design and implement autonomous AI agents using Azure OpenAI Service and Azure AI Studio
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• Build multi-agent orchestration systems
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• Implement memory management (short-term & vector-based long-term memory)
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• Design agent safety guardrails and oversight mechanisms
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• Architect end-to-end RAG pipelines
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• Implement hybrid search (semantic + keyword)
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• Optimize retrieval grounding and hallucination mitigation
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• Tune prompts and evaluate model performance
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Job Specification / Skills

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• Bachelor?s or master?s degree in computer science, Artificial Intelligence, or a related field.
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• 10+ years of experience in AI/ML development with demonstrated leadership in delivering production-grade AI solutions.
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• Deep expertise in machine learning, deep learning, NLP, or computer vision.
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• Experience with model architecture design, feature stores, model monitoring.
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• Strong experience with MLOps, DevOps for ML, and deployment tools (Docker, Kubernetes, MLflow, Airflow).
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• Solid understanding of cloud AI/ML offerings (Azure ML, SageMaker, Vertex AI).
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• Proven ability to lead technical teams and manage delivery timelines.
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