AWS AI Solution Architect

Location: Canada (Ontario or Quebec), or the EU with a visa and the ability to travel to Canada

Company

hirify.global is the hiring company for this long-term AI architecture engagement.

What you will do

• Design and implement production-grade AI and agentic architectures based on business and technical requirements.
• Build LLM applications, autonomous agents, and multi-agent workflows with LangGraph, LangChain, and Amazon Bedrock.
• Design RAG pipelines covering ingestion, chunking, embeddings, vector search, retrieval, reranking, and context management.
• Integrate AI agents with enterprise systems, APIs, databases, SaaS platforms, and internal tools.
• Define scalable, secure, observable, and cost-effective architectures across application, data, model, and infrastructure layers.
• Support prototyping, technical validation, production readiness, troubleshooting, performance optimization, and continuous improvement.

Requirements

• 3+ years of experience in AI/ML, software architecture, solution architecture, or similar technical roles.
• Hands-on experience designing LLM-based applications, AI agents, and agentic workflows.
• Strong experience with Amazon Bedrock and AWS-based AI architectures.
• Knowledge of RAG, tool and function calling, agent orchestration, multi-agent systems, memory, state management, structured outputs, and human-in-the-loop workflows.
• Experience integrating LLM applications with APIs, databases, enterprise systems, vector databases, embeddings, and semantic search.
• Ability to translate business requirements into practical architecture decisions and explain complex AI concepts to technical and non-technical stakeholders.

Nice to have

• Experience with AWS AgentCore, Lambda, Step Functions, ECS, EKS, API Gateway, DynamoDB, Aurora, or RDS.
• Experience with OpenSearch, pgvector, Pinecone, MCP-based integrations, or LLM observability and evaluation platforms.
• Experience with sensitive or regulated data, MLOps/LLMOps, distributed or event-driven architectures, Python, Azure AI Foundry, or Google Vertex AI.

Culture & Benefits

• Long-term, full-time engagement.
• B2B contract with a Canadian company for EU/Ukraine-based candidates.
• Employment for candidates based in Ontario or Quebec.
• Certifications, Udemy courses, Claude, and other tools needed for the role.
• Corporate events, team-building activities, gifts, recognition, and a supportive team culture.