Senior Cloud Architect (ML/AI)

TL;DR

Senior Cloud Architect, ML/AI (AWS): 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 designs, optimizing large-scale AI/ML workloads, 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. Also open to contractors in Eastern Europe or Portugal.

Company

Global technology company combining data, technology, and expertise to solve multicloud problems, specializing in Kubernetes, GenAI, CloudOps; strategic partner of AWS, Google Cloud, Microsoft Azure serving 4,000+ customers worldwide.

What you will do

• Lead discovery, architecture, and implementation of 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, and integrate with existing systems.
• Recommend and implement AI/ML capabilities in hirify.global Cloud Intelligence to drive product adoption and customer outcomes.
• Capture repeatable AI/ML patterns, reference architectures, and runbooks to build practice and influence product roadmap.
• Collaborate with sales, customer success, product teams, and cloud partners like AWS.

Requirements

• 4+ years architecting, deploying, managing cloud-based AI/ML solutions including production workloads.
• Proven track record with large distributed systems on AWS.
• Advanced proficiency with AWS AI/ML services: Bedrock, SageMaker (JumpStart), prompt engineering, model evaluation.
• Experience with TensorFlow, PyTorch, distributed training, data engineering (S3, Glue, Lake Formation, Redshift).
• End-to-end AI/ML workflows with Lambda, Step Functions, EKS/Fargate; CI/CD, monitoring (CloudWatch), governance/security.
• Working knowledge of Google Cloud AI; excellent communication, ownership in remote global environment.

Nice to have

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

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, and core values.
• Inclusive, equitable workplace valuing diversity for innovation.