Artificial Intelligence Specialist - Atidan Technologies

Role Overview We are looking for a Principal AI Solution Architect with deep technical mastery and enterprise-level experience to architect, govern, and drive large-scale AI solutions. Core Responsibilities Own and define enterprise AI architecture strategy, standards, and best practices Design and govern end-to-end AI platforms including data ingestion, ML pipelines, model serving, application integration, and frontend experiences Architect scalable, secure, and highly available systems across cloud and hybrid environments Lead architecture reviews, technical design sessions, and decision forums Translate complex business problems into AI-driven technical solutions Drive architecture governance, ensuring alignment with security, compliance, and performance standards Partner with leadership to define AI roadmaps, modernization strategies, and long-term technical vision Remain hands-on for critical components, proof-of-concepts, and complex problem areas Ensure DevOps, MLOps, and CI/CD best practices are embedded into delivery Act as the final technical authority for solution design and implementation Advanced Technical Expertise Full-Stack & Platform Expert-level experience in: Python and .NET for backend and AI services React or equivalent frameworks for enterprise-grade frontend architectures SQL & data modeling, performance tuning, and large-scale data systems Deep expertise in microservices, event-driven architectures, APIs, and distributed systems AI / Data / MLOps Strong experience in: Designing AI/ML pipelines (training, validation, deployment, monitoring) Model lifecycle management, drift detection, and observability Integration of GenAI, LLMs, vector databases, and AI orchestration frameworks Experience implementing MLOps frameworks for continuous model delivery Experience in AI Agents / Agentic Flows / MCPs Cloud & DevOps Advanced knowledge of Azure architecture, including compute, storage, networking, and security Expertise in Azure DevOps for CI/CD pipelines, infrastructure-as-code, and release governance Experience with containerization and orchestration (Docker, Kubernetes) Strong understanding of cloud security, identity, and access management Architectural Leadership & Governance Define and enforce architecture principles, reference architectures, and solution patte...