Jobs / DoiT

Senior Cloud Architect, Delivery (GenAI)

DoiT · Montréal, QC, Canada
Montréal, QC, CanadaExp: 4+ yrsHybrid
Remuneration
Not specified
Location
Montréal, QC, Canada
Visa sponsorship
Not specified

Job summary

The Senior Cloud Architect at DoiT will lead the design and implementation of production-grade ML and Generative AI solutions on AWS, acting as a trusted advisor for customers. This role focuses on improving product adoption, customer health, and optimizing cloud architectures for security, reliability, and cost-efficiency.

Qualifications

  • 4+ years of experience architecting, deploying, and managing cloud-based AI/ML solutions.
  • Proven track record designing and operating large, distributed systems on AWS.
  • Advanced proficiency with AWS services relevant to AI/ML and GenAI.
  • Hands-on experience with Amazon Bedrock for deploying and scaling Generative AI workloads.
  • Experience fine-tuning and deploying Large Language Models using Amazon SageMaker.
  • Strong prompt engineering skills and familiarity with model evaluation.
  • In-depth knowledge of Amazon SageMaker components.
  • Proficiency integrating TensorFlow, PyTorch, and other ML frameworks with SageMaker.
  • Hands-on experience with CI/CD for AI/ML using AWS CodePipeline.
  • Excellent communication skills across technical and business audiences.

Responsibilities

  • Lead the design and implementation of production-grade ML and Generative AI solutions on AWS.
  • Act as a hands-on expert and trusted advisor for customers running AI/ML workloads at scale.
  • Translate complex business problems into secure, reliable, cost-efficient cloud architectures.
  • Help evolve DoiT's use of AI/ML internally and with customers.
  • Be the trusted Cloud SME for high-impact technical optimization work.
  • Design and implement solutions to improve cost efficiency, reliability, security, and reduce operational toil.
  • Plan and deliver structured engagements like Cloud Optimization Sessions.
  • Respond to Expert Inquiry/support requests requiring deep cloud engineering expertise.
  • Turn one-off field work into reusable assets for customer outcomes and product improvement.
  • Provide structured feedback to DoiT Product and Engineering teams.
  • Contribute directly to DCI where appropriate.
  • Operate as an embedded technical partner within the account team.
  • Communicate complex technical topics clearly to engineers and non-technical stakeholders.

Skills

AWSAWS KMSAzureBigQueryCloudWatchEKSFargateGCPAWS GlueIAMJiraKubernetesAWS LambdaMakeRedshiftS3Terraform

Relocation

No