Solutions Architect (AI)

TL;DR

Solutions Architect (AI/AWS): Leading the design and delivery of complex, enterprise-grade generative and agentic AI systems built on Amazon Web Services with an accent on scalable, secure, and production-ready AI platforms. Focus on translating ambiguity into structured AWS-native architectures, designing advanced RAG and multi-agent orchestration, and ensuring alignment with the AWS Well-Architected Framework.

Location: North America

Company

hirify.global is a digital agency that blends creativity, engineering, and AWS-powered AI to help organizations build smart systems and reimagine their workflows.

What you will do

• Serve as the primary AWS AI architecture partner for strategic clients, driving generative and agentic AI system design from discovery to production.
• Design advanced RAG, Agentic RAG, and multi-agent orchestration leveraging AWS-native services like Lambda, Step Functions, and Aurora.
• Produce AWS reference architectures, architecture decision records (ADRs), and implementation roadmaps aligned with business objectives.
• Validate feasibility through hands-on prototyping in Python using Bedrock SDKs, SageMaker, and serverless services.
• Establish MLOps best practices on AWS, including model lifecycle management, monitoring, and observability.
• Mentor engineers on AWS AI service integration, distributed systems design, and secure multi-account strategies.

Requirements

• Location: Must be based in North America
• 7–10+ years of experience in software engineering or cloud architecture with deep AWS ownership.
• Deep expertise in Amazon Bedrock, Bedrock AgentCore, AWS Strands Agents, and related AWS AI services.
• Proficiency in Python and AWS SDKs.
• Strong knowledge of distributed systems, event-driven architectures, and serverless patterns.
• AWS Professional Certifications (Solutions Architect or DevOps Engineer) are highly preferred.

Nice to have

• AWS Specialty certifications in Machine Learning or Security.
• Experience with advanced agentic reasoning patterns like ReAct, CoT, or Tree-of-Thoughts on Bedrock.
• Experience building secure multi-account AWS organizations using Control Tower.
• Exposure to data engineering services such as Glue, Redshift, and Lake Formation.
• Background in consulting or professional services.

Culture & Benefits

• Opportunity to shape enterprise-scale generative and agentic AI platforms using the most advanced AWS services.
• Direct influence on the evolution of the company's AWS AI practice.
• Collaborative environment focused on blending creativity with high-end engineering.
• Opportunity to work with cutting-edge tools like Nova Forge and Nova 2 Sonic.