What are the responsibilities and job description for the TECHNICAL ARCHITECT – CLOUD NATIVE & AI-LED ENGINEERING position at UnivEdge Consulting LLC?
ROLE: TECHNICAL ARCHITECT – CLOUD NATIVE & AI-LED ENGINEERING
LOCATION: SEATTLE WA/ VANCOUVER BC
Position: We are looking for a Technology Partner who can combine technology leadership with strong execution ownership in a modern cloudnative and AI-led engineering environment.
This role requires a strong builder mindset — leaders who think like product companies, not traditional services organizations.
We are looking for someone who can drive engineering excellence, platform thinking, automation-first execution, and outcome ownership at scale.
Key Responsibilities
• Design scalable cloud-native technology landscapes across platforms, data, and integrations.
• Infuse Co-Pilot / AI into SDLC to improve engineering productivity, quality, and release velocity.
• Drive spec-driven development: o Requirements → Specs → User Stories → Test Cases → Code → Deployment.
• Push PDMs, architects, and engineering teams toward stronger delivery discipline and accountability.
• Establish strong engineering fundamentals: o Design validation, Code review rigor, CI/CD discipline, Automated testing, Release governance
• Own delivery outcomes end-to-end: o Quality, Timelines, Release readiness, Customer confidence
• Drive automation-first execution and reduce dependency on manual SDLC processes.
• Operate with high ownership, urgency, and bias for action.
Technical Expectations Strong understanding of modern engineering ecosystem including:
Languages & Frameworks: Python, Java, JavaScript / TypeScript, Node.js, React, SQL, API-first and microservices architecture
Cloud & DevOps: AWS / Azure / Google Cloud Platform, Kubernetes, Docker, Terraform, GitHub Actions / Jenkins, Observability and monitoring platforms
AI-Led Engineering:
• GitHub Copilot / Cursor / AI-assisted coding tools
• LLM integration patterns
• AI-driven testing and code review workflows
• Agentic SDLC concepts Open Source & Platform Components: Awareness of modern open-source ecosystem including:
• PostgreSQL, Redis, Kafka, Airflow, dbt, Elastic / OpenSearch, Vector databases, LangChain / orchestration frameworks Open-source LLM ecosystem (Llama, Mistral, etc.)
What We Are Looking For
• Strong cloud-native architecture and engineering background.
• Experience driving AI-led SDLC and modern engineering practices.
• Product engineering / builder mindset preferred over traditional services management mindset.
• Ability to challenge teams constructively and raise the engineering bar.
• Strong ownership mentality with focus on execution and outcomes.
• Ability to operate effectively in fast-paced enterprise environments.
Salary : $180