AWS Solutions Architect
- Toronto, ON, Canada
- Scarborough, ON, Canada
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Original job description
Job Title: AI & Cloud Resiliency Architect
Location: Scarborough, ON, Canada - Hybrid
Job Summary
We are seeking an experienced AI & Cloud Resiliency Architect to design scalable, highly available, fault-tolerant, and resilient cloud and AI solutions. The ideal candidate will have strong expertise in AWS Cloud Architecture, Generative AI, Agentic AI, distributed systems, and resiliency engineering, preferably within banking or other regulated industries.
Key Responsibilities
- Design resilient cloud, application, and distributed system architectures using AWS.
- Establish enterprise-wide resiliency standards, reference architectures, design patterns, and governance guardrails.
- Identify and mitigate single points of failure, system dependencies, scalability bottlenecks, and cascading failures.
- Design resilient Generative AI, Agentic AI, multi-agent, RAG, LLM, and MCP integrations.
- Implement failure-handling mechanisms, including retries, circuit breakers, fallbacks, graceful degradation, and failure isolation.
- Architect event-driven and serverless solutions using AWS Lambda, SQS, SNS, DynamoDB, API Gateway, and Amazon Bedrock.
- Define high-availability, disaster recovery, RTO/RPO, observability, and resilience-testing strategies.
- Collaborate with Development, Cloud Engineering, SRE, Security, and Operations teams to ensure production readiness.
Required Qualifications
- Strong experience in application, system, and AWS cloud architecture.
- Expertise in distributed systems, APIs, microservices, and event-driven/serverless architectures.
- Hands-on experience with Generative AI, Agentic AI, LLMs, RAG, MCP, AI agents, and Amazon Bedrock or similar platforms.
- Strong knowledge of resiliency engineering, fault tolerance, high availability, disaster recovery, and observability.
- Experience developing enterprise architecture standards and governance frameworks.
- Banking, financial services, or other regulated-industry experience.
- Knowledge of AI governance, cloud security, technology risk management, SRE, and chaos engineering.
More about this job
Responsibilities
Design resilient AWS cloud, application, distributed-system, and AI architectures, and establish enterprise resiliency standards, patterns, and governance. Define high availability, disaster recovery, observability, and resilience-testing strategies while collaborating with engineering, SRE, security, and operations teams to prepare solutions for production.
Requirements
Requires strong experience in application, system, and AWS architecture, distributed systems, APIs, microservices, and event-driven or serverless solutions. Candidates should have hands-on experience with generative and agentic AI, resiliency engineering, governance, and preferably banking or other regulated industries, along with knowledge of cloud security, technology risk, SRE, and chaos engineering.
Skills
- AWS Cloud Architecture
- Distributed Systems
- Resiliency Engineering
- Generative AI
- Agentic AI
- Large Language Models
- Retrieval-Augmented Generation
- Model Context Protocol
- Microservices
- Event-Driven Architecture
- Serverless Architecture
- Amazon Bedrock
- Disaster Recovery
- Observability
- Cloud Security
- Chaos Engineering
Visa sponsorship
Not detected in the job text
Categories
- Technology
- Software
- Engineering
- Consulting
Keywords
- AWS
- AWS Cloud Architecture
- Amazon Bedrock
- AWS Lambda
- Amazon SQS
- Amazon SNS
- Amazon DynamoDB
- Amazon API Gateway
- Generative AI
- Agentic AI
- AI Agents
- Multi-Agent Systems
- Large Language Models
- Retrieval-Augmented Generation
- Model Context Protocol
- Distributed Systems
- APIs
- Microservices
- Event-Driven Architecture
- Serverless Architecture
- Resiliency Engineering
- Fault Tolerance
- High Availability
- Disaster Recovery
- RTO/RPO
- Observability
- AI Governance
- Cloud Security
- Site Reliability Engineering
- Chaos Engineering