Senior Cloud Architect, Delivery (GenAI)
New
UK, Ireland, Estonia, Sweden, the Netherlands, and Israel and is available to Full-Time Employees. The job is also open to contractors in Eastern Europe or Portugal.Full-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 4+ years
- Required Skills
- AWSMachine LearningPyTorchTensorflowTerraformPrompt EngineeringLLMGenerative AI
Requirements
- 4+ years of experience architecting, deploying, and managing cloud-based AI/ML production workloads.
- Proven track record designing and operating large, distributed systems on AWS.
- Advanced proficiency with AWS services relevant to AI/ML and GenAI, including Amazon Bedrock.
- Hands-on experience fine-tuning and deploying LLMs and multimodal AI using Amazon SageMaker.
- Strong prompt engineering skills and experience with rigorous model evaluation.
- In-depth knowledge of Amazon SageMaker components (Pipelines, Model Monitor, Clarify).
- Proficiency integrating TensorFlow and PyTorch with SageMaker.
- Strong data engineering skills (S3, AWS Glue, Lake Formation, Redshift).
- Experience with containerized deployments on Amazon EKS or AWS Fargate.
- Familiarity with CI/CD for AI/ML using CodePipeline or similar tools.
- Understanding of AI governance, security, and compliance patterns on AWS.
Responsibilities
- Design and implement secure, reliable, and cost-efficient ML and Generative AI solutions on AWS.
- Serve as a hands-on technical advisor for customers throughout the AI/ML workload lifecycle.
- Convert one-off customer solutions into reusable patterns, playbooks, and Terraform modules.
- Partner with account teams to drive technical deployment, platform adoption, and cloud optimization.
- Contribute feedback and feature requests to improve DoiT Cloud Intelligence (DCI) platform capabilities.
- Communicate complex technical concepts to both technical engineering teams and non-technical stakeholders.
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