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, integrating GenAI with existing workflows, and evolving 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 specializing in multicloud solutions, hirify.global Cloud Intelligence, with expertise 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/GenAI workloads on AWS, including data pipelines, training, inference, and integrations.
• Act as hands-on expert and advisor for customers, defining outcomes, tradeoffs, and production-ready designs.
• Provide guidance on GenAI architectures like Bedrock, SageMaker, Amazon Q, and integrate with customer systems.
• Drive product adoption of hirify.global Cloud Intelligence capabilities in AI/ML engagements.
• Build reusable patterns, reference architectures, and "gravel roads" to 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 production workloads
• Proven experience with large distributed systems on AWS
• Advanced AWS AI/ML services: Bedrock, SageMaker (JumpStart, Pipelines, Model Monitor), prompt engineering, model evaluation
• ML frameworks: TensorFlow, PyTorch; distributed training, data engineering (S3, Glue, Lake Formation, Redshift)
• End-to-end workflows: Lambda, Step Functions, EKS/Fargate; CI/CD, monitoring (CloudWatch), governance/security
• Work effectively in remote-first global environment
• Excellent communication, ownership mentality, mentoring ability

Nice to have

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

Culture & Benefits

• Remote-first global team with flexible schedules balancing work and home life
• Unlimited vacation, flexible working options
• Health insurance, parental leave, employee stock options
• Home office allowance, professional development stipend
• Peer recognition program, entrepreneurial culture focused on knowledge pursuit and fun
• Inclusive, equitable workplace valuing diversity