Principal AI Engineering Architect (AWS)

TL;DR

Principal AI Engineering Architect (AWS): Leading the design and delivery of complex, multi-agent AI systems with an accent on cloud-native architecture, agent orchestration, and production-grade LLM integration. Focus on solving high-stakes architectural challenges, driving technical strategy, and mentoring engineering teams to ship scalable AI solutions at velocity.

Location: Must be based in the US (Remote)

Salary: $180,375 – $230,625 USD

Company

hirify.global designs AI systems that pair engineering with creativity to solve real-world enterprise workflows.

What you will do

• Define technical strategy and lead architectural design across cloud, data, and AI/ML systems.
• Architect and ship production-grade multi-agent AI systems, including orchestration, memory, and tool use.
• Design and deploy agentic workloads using Amazon Bedrock AgentCore and AWS GenAI services.
• Build scalable data architectures and MLOps pipelines to support repeatable model development.
• Partner with senior leadership and clients as the principal technical voice on strategy.
• Mentor experienced engineers and champion architectural standards across engagements.

Requirements

• Must be based in the US
• 8+ years of software engineering experience, with 5+ years in technical leadership.
• 4+ years of focused experience in production AI/ML systems.
• Deep hands-on expertise with AWS GenAI offerings and Amazon Bedrock.
• Expertise in Python and designing scalable, maintainable microservices.
• Strong background in multi-agent orchestration, RAG pipelines, and LLM evaluation frameworks.
• Proficiency in infrastructure as code (Terraform/CloudFormation) and CI/CD standards.

Nice to have

• Multi-cloud experience (Azure, GCP).
• Enterprise architecture certifications (TOGAF, AWS/Azure/GCP).
• Experience with AI ethics and responsible AI frameworks.

Culture & Benefits

• Focus on high-velocity delivery with production-ready AI shipped in 30-45 days.
• Emphasis on craft, ownership, and engineering rigor.
• Collaborative environment pairing engineering with creative problem-solving.
• Opportunity to shape enterprise-level AI strategy and long-term system success.