Position Name – Senior Enterprise Architect – AI & Cloud Engineering Type of hiring – Only Fulltime Location – Remote Canada

Job Description
Senior Enterprise Architect to lead technical strategy and architecture across a multi-project digital portfolio for a major telecom client. This is a hands-on architecture role requiring strong technical leadership, solution design, engineering governance, cloud expertise, and AI/Generative AI experience. The Architect will lead engineering teams technically, establish engineering standards, develop HLDs/LLDs, resolve complex technical challenges, and communicate architectural decisions and trade-offs to stakeholders ranging from developers to CIO-level leadership. Mandatory : At least one end-to-end AI solution implemented using Retrieval-Augmented Generation (RAG) in a production or production-like environment.
- Define architecture and solution strategy across multiple projects, balancing scalability, performance, maintainability, security and cost.
- Develop and maintain HLDs, LLDs, architecture diagrams, technical specifications and solution decision records.
- Lead engineering teams through architectural direction, design reviews, technical problem-solving and mentoring.
- Establish engineering standards, reusable architectural patterns and governance practices.
- Identify technical debt and drive prioritized remediation plans.
- Lead architecture and delivery of AI/GenAI solutions, particularly RAG-based applications.
- Guide teams through the AI development lifecycle covering design, build, evaluation, deployment, monitoring and continuous improvement.
- Define AI evaluation criteria including relevance, accuracy, groundedness, hallucination rate, latency and cost.
- Establish AI testing, observability and quality monitoring while addressing privacy, security and responsible-AI requirements.




- Provide architectural guidance across microservices, distributed systems, React, cloud-native services, DevOps and CI/CD.
- Drive security-first architecture & DevSecOps practices, including quality gates, deployment controls and monitoring.
- Evaluate architectural options & clearly communicate recommendations, risks, dependencies and trade-offs.
- Partner with client technical teams, Security, Engineering, DevOps, Analytics, Operations, PMO and delivery leadership.
- Support technical estimation, planning, dependency management and delivery risk management.
- Guide Operations on critical Blocker/P1 incidents and support post-production monitoring and analytics.
- 12+ Years in Software Engineering with 5+ Years in Enterprise/Solution Architecture or Senior Technical Leadership.
- Proven experience leading engineering teams & architecture decisions across concurrent projects.
- Mandatory hands-on experience delivering at least one end-to-end RAG-based AI solution.
- Solid understanding of GenAI, AI development lifecycle, AI evaluation and production monitoring.
- Strong architecture experience with microservices, distributed systems and React.
- Hands-on architecture experience with GCP, AWS or Azure; GCP preferred.
- Strong knowledge of CI/CD, DevSecOps, automated quality gates and secure software architecture.
- Proven experience producing HLDs, LLDs, architecture diagrams and technical decision documentation.
- Experience with estimation, planning, technical risk management and cross-functional delivery.
- Strong problem-solving, stakeholder-management, executive communication skills.
- Preferred : LLM observability, responsible-AI frameworks, vector databases, embedding pipelines, event-driven architecture, API gateways, service mesh, SRE & Infrastructure as Code.
- Telecom or large-enterprise digital experience is preferred.

📌 Senior AI Enterprise Architect – AI (Canada)
🏢 Yochana
📍 Canada