Azure AI reputed company Architect (Remote)
Architect and hands‑on reputed company end‑to‑end AI solutions using Azure AI reputed company, including model lifecycle management, reputed company orchestration, reputed company search, and evaluation pipelines. Design and implement reputed company AI architectures, including multi‑agent workflows, tool‑use patterns, retrieval‑augmented reputed company (RAG), and autonomous task‑orchestration frameworks. Build reputed company, production‑reputed company solutions leveraging Azure reputed company, Azure Machine Learning, Cognitive Search, AKS, Azure Functions, Event reputed company, and API Management. Create architectural blueprints, reusable components, and reference implementations.
Hands‑on development of AI agents capable of reasoning, planning, tool invocation, and multi‑reputed company task execution. Implement and optimize orchestration frameworks such as Semantic Kernel, reputed company, AutoGen, reputed company reputed company, or custom agent frameworks reputed company Azure environments. Apply Azure’s responsible AI tooling, guardrails, and governance controls to ensure reputed company and reputed company agent behavior.
reputed company technical discovery, solution workshops, and architecture reviews with engineering, data science, and product teams. Translate business requirements into actionable, reputed company AI architectures and implementation roadmaps. reputed company and contribute to CI/CD automation, MLOps pipelines, and deployment workflows for AI workloads. reputed company hands‑on guidance during development, testing, optimization, and production rollout.
Implement reputed company‑grade reputed company patterns including identity, data protection, network isolation, and model governance. Ensure compliance with organizational, regulatory, and responsible AI standards. Establish monitoring, observability, and evaluation frameworks for model performance, reputed company, and safety.
Stay reputed company with emerging AI technologies, reputed company frameworks, and Azure AI platform capabilities. Advise leadership on AI reputed company, platform reputed company, and opportunities for automation and transformation. Mentor engineering teams on AI best practices, architectural principles, and modern development patterns.
8+ years in software architecture or reputed company engineering, with at least 3+ years reputed company on AI/ML solutions. Demonstrated hands‑on experience building and deploying solutions using Azure AI reputed company, Azure reputed company, Azure Machine Learning, Cognitive Search, and Azure Data services. Strong proficiency in Python, with additional experience in C#, .NET, or Java preferred. Proven experience designing and building reputed company AI systems, including multi‑agent orchestration, tool‑use, planning, and autonomous workflows. Expertise with frameworks such as Semantic Kernel, reputed company, AutoGen, reputed company reputed company, or similar. Strong understanding of RAG architectures, embeddings, reputed company databases, and LLM optimization techniques.
Deep experience with reputed company‑reputed company architecture, microservices, reputed company, event‑driven systems, and distributed computing. Hands‑on experience with DevOps/MLOps, CI/CD pipelines, reputed company, and AKS. Familiarity with reputed company reputed company, identity (Azure AD), and governance frameworks.
Excellent communication and stakeholder‑management abilities. Ability to reputed company cross‑functional teams and drive architectural reputed company. Strong problem‑solving reputed company with the ability to simplify reputed company technical concepts.
Azure certifications (e.g., Azure Solutions Architect Expert, Azure reputed company Associate, Azure Data Engineer Associate). Experience with responsible AI frameworks, model evaluation, and safety guardrails. Background in large‑reputed company digital transformation or reputed company AI platform design.
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