Senior Cloud Architect, Delivery – GenAI

🕒 vor 1 Monat

🌐 Vereinigtes Königreich, Irland, +5 weitere Länder – Remote

🇬🇧 Vereinigtes Königreich – Remote 🇮🇪 Irland – Remote 🇪🇪 Estland – Remote 🇸🇪 Schweden – Remote 🇳🇱 Niederlande – Remote 🇮🇱 Israel – Remote 🇵🇹 Portugal – Remote

⏰ Vollzeit

🟠 Senior

☁️ Cloud-Ingenieur

🇬🇧 UK-Skilled-Worker-Visum-Sponsor

Dieses Unternehmen hat in der Vergangenheit UK-Skilled-Worker-Visa gesponsert.

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DoiT International

WebsiteLinkedInAlle Stellen

201 - 500 Mitarbeiter

Gegründet 2014

☁️ SaaS

💼 Beratung

SaaS • Cloud Services • Consulting

DoiT International ist ein Cloud-Services-Unternehmen, das umfassende Lösungen für das Management und die Optimierung von Cloud-Infrastrukturen über mehrere Plattformen wie AWS, Google Cloud und Microsoft Azure bereitstellt. Zu den Leistungen gehören Cloud-Kostenmanagement, Workload Intelligence, Automatisierung und Beratung. DoiT International hilft Unternehmen, ihre Cloud-Umgebungen zu optimieren, die Performance zu verbessern und die Sicherheit zu erhöhen – durch eine Kombination aus fortschrittlicher Technologie und Expertenberatung.

Beschreibung

• Lead the design and implementation of production-grade ML and Generative AI solutions on AWS (with awareness of multi-cloud environments). • Act as a hands-on expert and trusted advisor for customers running AI/ML workloads at scale, from initial discovery through deployment and optimization. • Translate complex business problems into cloud architectures that are secure, reliable, cost-efficient, and observable. • Help evolve how DoiT uses AI/ML internally and with customers by turning one-off solutions into reusable patterns and “gravel roads” that influence the product roadmap. • Focus on install base health, product adoption, proactive engagements, and account-team work.

🎯 Anforderungen

• 4+ years of experience architecting, deploying, and managing cloud-based AI/ML solutions, including production workloads. • Proven track record designing and operating large, distributed systems on AWS, selecting appropriate services and patterns to meet business and technical goals. • Advanced proficiency with AWS services relevant to AI/ML and GenAI. • Hands-on experience with Amazon Bedrock for deploying and scaling foundation models and Generative AI workloads. • Experience fine-tuning and deploying Large Language Models (LLMs) and multimodal AI using Amazon SageMaker (including JumpStart). • Strong prompt engineering skills and familiarity with rigorous model evaluation (quality, safety, performance). • Understanding of agentic capabilities and patterns for AI agents that autonomously perform tasks and integrate with existing systems. • Experience with Amazon Q Business and Amazon Q Developer (or similar tools) to accelerate insight generation and development workflows. • In-depth knowledge of Amazon SageMaker components such as Pipelines, Model Monitor, Data Wrangler, and SageMaker Clarify for bias detection and interpretability. • Proficiency integrating TensorFlow, PyTorch, and other ML frameworks with SageMaker for model development, fine-tuning, and deployment. • Experience with distributed training (multi-GPU or multi-node) and performance optimization for inference. • Strong data-engineering skills on AWS: Amazon S3, AWS Glue, Lake Formation, Redshift for AI/ML data pipelines. • Experience building end-to-end AI/ML workflows using services like AWS Lambda, Step Functions, API Gateway, and containerized deployments on Amazon EKS / AWS Fargate. • Hands-on experience with CI/CD for AI/ML using AWS CodePipeline, CodeBuild, SageMaker Pipelines, or similar. • Proficiency in monitoring and operating AI systems using Amazon CloudWatch and SageMaker Model Monitor. • Strong understanding of AI governance, security, and compliance on AWS, including IAM, KMS, and data privacy patterns. • Familiarity with AI ethics and bias detection/mitigation (e.g., using SageMaker Clarify or similar tools). • Working knowledge of Google Cloud AI tools (e.g., Vertex AI, Cloud AutoML, BigQuery ML) sufficient to reason about multi-cloud architectures and integration points. • Proven ability to mentor peers, run enablement sessions, and collaborate across Sales, CS, and Product.

🏖️ Vorteile

• Unlimited Vacation • Flexible Working Options • Health Insurance • Parental Leave • Employee Stock Option Plan • Home Office Allowance • Professional Development Stipend • Peer Recognition Program