Technology Specialist - AI (Director OR Delivery Manager)

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Our client, UnivEdge Consulting LLC, is seeking the following.

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Role: Technology Specialist

Location: Seattle, WA / Vancouver, BC

Duration: Full time

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.