AI and Cloud Architect

Role Overview

• Design and implement solution architectures that satisfy client requirements, with a strong focus on AI-enabled and cloud-native applications.
• Design AI-enabled workflows such as chatbots, search, summarization, and automation.
• Leverage RAG (retrieval-augmented generation), agentic AI patterns, vector databases, and enterprise search in applied solutions.
• Orchestrate multi-service AI solutions that combine LLMs, APIs, and cloud services.
• Guide clients and teams through cloud modernization projects, supporting migrations and adoption of cloud-native practices.
• Understand data security and residency requirements, addressing client concerns around sensitive data in AI-enabled systems.
• Ensure solutions comply with security and regulatory standards while managing technical risks across architectures.
• Support Services teams during delivery by addressing architectural questions as projects evolve and refining designs when new requirements or complexities emerge.
• Build prototypes and participate in demos with clients to showcase how AI and cloud can add value.
• Create solution diagrams and architectures for client decks to support pre-sales discussions.
• Partner with clients in pre-sales support: participate in meetings, capture requirements, and collaborate with the sales lead.
• Communicate architectural decisions clearly to both business and technical audiences.
• Balance functional and non-functional requirements, ensuring secure, scalable, and maintainable solutions.
• Support scoping and estimation for solutions across multiple industries, validating requirements with internal and external stakeholders.
• Collaborate closely with technical leads, developers, designers, strategists, and project managers to deliver high-quality solutions.
• Leverage Architech’s cloud and technology partners to strengthen solution proposals.
• Work directly with mid-sized and enterprise clients, ensuring solutions align to their scale, security, and business needs.
• Embrace and contribute to the achievement of Architech’s sustainability goals relating to Good Health & Well-being, Quality Education, Gender Equity, and Reduced Inequalities.

Requirements

• 6+ years of hands-on experience designing and delivering software solutions
• Post-secondary education in Computer Science, Math, or Engineering (or equivalent experience)
• Experience designing AI-enabled workflows (chatbots, search, summarization, automation)
• Knowledge of RAG, agentic AI patterns, vector databases, and enterprise search
• Experience orchestrating multi-service AI solutions
• Strong understanding of cloud-native design and modern architectural patterns
• Experience guiding organizations through cloud modernization initiatives, from legacy migrations to greenfield cloud adoption
• Solid understanding and experience with containers and orchestration (Kubernetes preferred)
• Solid understanding and experience with data integration concerns, and platforms such as Apache Kafka, ActiveMQ, or RabbitMQ
• Experience working with major cloud platforms (Azure and GCP strongly preferred, AWS an asset)
• Ability to integrate AI services into solutions using platforms like Azure AI, Google Vertex AI, AWS Bedrock, or third-party APIs
• Hands-on experience with at least one major programming language (Java, .NET, Python, JavaScript, or Go)
• Knowledge of automation principles (CI/CD, infrastructure as code)
• Strong awareness of monitoring, logging, and security in cloud-based environments.
• Excellent communication skills: able to support client-facing discussions with confidence, without needing to lead them.
• Team-first mentality, able to collaborate across disciplines without direct management responsibilities.
• Adaptability to changing project requirements and evolving AI technologies.
• Curiosity for AI and eagerness to learn as the industry shifts and new capabilities emerge.
• Practical experience with Agile methodologies.

Tech Stack

• Apache
• AWS
• Azure
• Cloud
• Google Cloud Platform
• Java
• JavaScript
• Kafka
• Kubernetes
• Python
• RabbitMQ
• Go
• .NET

Benefits

• Health insurance
• Continuous growth with learning budgets
• Internal bootcamps
• Certification bonuses
• Summit days
• Flexible work arrangements