Senior Cloud Architect (ML/AI)

TL;DR

Senior Cloud Architect (ML/AI): Lead the design and implementation of production-grade ML and Generative AI solutions on AWS with an accent on secure, reliable, cost-efficient, and observable architectures. Focus on translating complex business problems into scalable cloud systems, optimizing AI/ML workloads at scale, and developing reusable patterns that influence product roadmaps.

Location: Remote in the US, Colombia, Mexico, Canada, the UK, Ireland, Estonia, Sweden, the Netherlands, and Israel. Open to contractors in Eastern Europe or Portugal.

Company

Global technology company combining data, technology, and expertise to help customers solve multicloud problems, with specializations in Kubernetes, GenAI, CloudOps; strategic partner of AWS, Google Cloud, Microsoft Azure.

What you will do

• Lead discovery, architecture, and implementation for advanced ML and Generative AI workloads on AWS, including data, training, inference, and integration.
• Act as hands-on expert and trusted advisor for customers running AI/ML at scale, defining outcomes, tradeoffs, and production-ready designs.
• Provide guidance on GenAI architectures like Amazon Bedrock, SageMaker, Q, and integrate with existing systems.
• Recommend and implement AI/ML capabilities in hirify.global Cloud Intelligence to drive product adoption and measure business impact.
• Capture repeatable AI/ML patterns, reference architectures, and runbooks; contribute to practice building and gravel roads for productization.
• Collaborate with sales, customer success, product, and partners to align AI/ML work with company priorities and customer goals.

Requirements

• 4+ years architecting, deploying, managing cloud-based AI/ML solutions, including production workloads on AWS distributed systems.
• Advanced AWS proficiency for AI/ML/GenAI: Bedrock, SageMaker (JumpStart), prompt engineering, model evaluation, agentic AI.
• In-depth SageMaker components (Pipelines, Model Monitor, etc.), TensorFlow/PyTorch integration, distributed training, data engineering (S3, Glue, etc.).
• End-to-end AI/ML workflows with Lambda, Step Functions, EKS/Fargate; CI/CD, monitoring (CloudWatch), governance, security, compliance.
• Multi-cloud awareness (Google Cloud AI); mentor peers, excellent communication, ownership in remote-first global environment.

Nice to have

• BA/BS in CS/Math or equivalent; data/AI certifications (AWS/GCP, Stanford, etc.).
• RLHF, advanced fine-tuning, Hugging Face; prior ML Engineer/Data Scientist/AI Architect experience.
• JIRA/Agile experience.

Culture & Benefits

• Remote-first global team with flexible schedules balancing work and home life.
• Unlimited vacation, health insurance, parental leave, employee stock options, home office allowance.
• Professional development stipend, peer recognition program.
• Entrepreneurial culture focused on knowledge pursuit, fun, diversity, and inclusion.