Solution Architect

Overview

We're seeking a hands-on Solution / Technical Architect to translate business needs into secure, practical and deliverable technology solutions. You will work from business context and requirements through architecture, build and operational handover, leading the design of internal tools, AI agents, workflow automations, and integrated applications. You will make the key technical decisions, guide delivery, verify that the implemented product meets the intended business outcome, and ensure AI-assisted engineering is applied safely through appropriate guardrails and quality controls.

At TeKnowledge, your work makes an impact from day one. We partner with organizations to deliver AI-First Expert Technology Services that drive meaningful impact in AI, Customer Experience, and Cybersecurity. We turn complexity into clarity and potential into progress—in a place where people lead and tech empowers.

You’ll be part of a diverse and inclusive team where trust, teamwork, and shared success fuel everything we do. We push boundaries, using advanced technologies to solve complex challenges for clients around the world.

Here, your work drives real change, and your ideas help shape the future of technology. We invest in you with top-tier training, mentorship, and career development—ensuring you stay ahead in an ever-evolving world.

Why You’ll Enjoy It Here:

• Be Part of Something Big – A growing company where your contributions matter.
• Make an Immediate Impact – Support groundbreaking technologies with real-world results.
• Work on Cutting-Edge Tech – AI, cybersecurity, and next-gen digital solutions.
• Thrive in an Inclusive Team – A culture built on trust, collaboration, and respect.
• We Care – Integrity, empathy, and purpose guide every decision.

We’re looking for innovators, problem-solvers, and experts ready to drive change and grow with us.

We Are TeKnowledge. Where People Lead and Tech Empowers.

Responsibilities

• Own end-to-end solution architecture from business discovery and requirements through design, build guidance, testing, release and operational handover
• Lead the design of tools, AI agents, workflow automations, integrations and supporting cloud services
• Decompose solutions into components, interfaces, data flows, user stories and delivery work packages
• Provide clear technical direction to development teams, including architecture patterns, acceptance criteria and non-functional requirements
• Review code, infrastructure, integrations, prompts and agent workflows to ensure alignment with the approved design
• Design AI guardrails covering authorized actions, data boundaries, human approval and exception handling, and address risks such as hallucination, prompt injection and data leakage
• Design the Azure resources required for each solution, including identity, networking, observability, cost controls and infrastructure as code (Bicep/Terraform)
• Define safe usage patterns for AI coding tools, treating AI-generated code as untrusted until reviewed, tested and validated
• Identify risks, dependencies and technical debt early, and drive resolution or escalation
• Create and maintain architecture artefacts and contribute reusable reference architectures, patterns and engineering standards

Qualifications

• Minimum 10 years in software engineering, systems integration or technology delivery, including at least 5 years in solution or technical architecture roles
• Proven experience leading complex solutions from business discovery through production implementation and operational handover
• Hands-on experience designing and deploying solutions on Microsoft Azure, with practical knowledge of compute, integration, data, identity, networking, security and monitoring services
• Strong understanding of APIs, event-driven architecture, microservices and integration patterns
• Working knowledge of CI/CD, automated testing, code review and security scanning, and the ability to review code in Python, TypeScript, C# or Java
• Practical understanding of large language models, RAG, embeddings, prompt design, tool/function calling and agent orchestration
• Experience with Azure OpenAI / Azure AI Foundry or comparable platforms, and with AI coding assistants such as GitHub Copilot or Claude Code
• Experience with workflow automation or low-code platforms such as Azure Logic Apps or Power Automate
• Excellent facilitation, stakeholder management and technical leadership skills
• BSc/BA in Computer Science, Engineering or a related discipline, or equivalent practical experience
• Preferred: Azure Solutions Architect Expert (AZ-305) and/or Azure AI Engineer Associate (AI-102); experience in regulated environments (ISO 27001, SOC 2, GDPR); TOGAF or equivalent