iVedha Inc. is a technology partner focused on helping organizations navigate and lead in the digital future. The company specializes in AI, Platform Engineering, and Professional & Managed Services, collaborating closely with clients to drive transformative change. iVedha applies cutting-edge solutions to improve operational efficiency and build scalable, resilient platforms that support long-term growth. Team members work with forward-thinking organizations that aim to stay ahead in a rapidly evolving digital landscape.

Joining iVedha means contributing to cutting-edge projects that shape the future of technology.

Technical

Architect to lead the design, architecture, and implementation of enterprise technology solutions supporting digital transformation initiatives. The role requires expertise in cloud platforms, infrastructure, AI, enterprise applications, integration, DevOps, security, and automation while providing hands‑on technical leadership across the solution lifecycle. Develop HLDs, LLDs, architecture diagrams, and technical documentation.

Evaluate emerging technologies and AI platforms. Design hybrid and multi‑cloud environments (Azure, AWS, GCP). Lead cloud migration, infrastructure modernization, and platform transformation. AI & Automation Integrate enterprise AI solutions using LLMs and AI platforms.

Design AI‑enabled applications using APIs, RAG,



AI Agents, and vector databases. Implement AI Operations (AIOps) and intelligent automation. Develop enterprise integrations using REST APIs, Kafka, IBM MQ, and middleware.

Modernize legacy applications and support enterprise data architecture. Build CI/CD pipelines using Azure DevOps, Jenkins, GitHub Actions. Automate deployments using Python, PowerShell, and Bash.

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DevOps, DevSecOps, GitOps, and SRE best practices. Support disaster recovery, business continuity, monitoring, and performance optimization.

Technical Leadership

Lead technical design and implementation activities.

Technical

Skills 10+ years of Technical Architecture experience. AI solution integration and application modernization. Hybrid cloud, networking, storage, backup, disaster recovery. AI Technologies RAG, AI Agents, Prompt Engineering, Vector Databases, AIOps. REST APIs, Microservices, Kafka, IBM MQ, ESB. DevOps Python, PowerShell, Bash. Technical leadership. Team mentoring and technical governance. Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field.

Microsoft Azure Solutions Architect

Expert AWS Solutions Architect Professional ITIL Foundation TOGAF Foundation (Preferred) AI‑enabled enterprise solutions.

📌 Full Stack Technical Architect REMOTE (Toronto)
🏢 iVedha
📍 Toronto