Native AI

60 jobs near Columbus, OH

Drive architectural decisions around build vs. buy for AI capabilities, including AWS-native AI services. AI-Driven Product Development * Collaborate with Product Managers and UX teams to translate ...

Drive architectural decisions around build vs. buy for AI capabilities, including AWS-native AI services. AI-Driven Product Development * Collaborate with Product Managers and UX teams to translate ...

Drive architectural decisions around build vs. buy for AI capabilities, including AWS-native AI services. AI-Driven Product Development * Collaborate with Product Managers and UX teams to translate ...

$63 - $83/hr

Location: REMOTE Duration: 6 months AI Architect Role Summary - Own end-to-end solution ... native architecture Security and Compliance

$63 - $83/hr

Location: REMOTE Duration: 6 months AI Architect Role Summary - Own end-to-end solution ... native architecture Security and Compliance

We are looking for an AI Sales Engineer, Digital Native (Solutions Architect) to join the good fight and get this product in the hands of every digital native AI/ML organization. You'll work side-by ...

Atlanta, GA (Prefer Locals) Duration: Long Term We're looking for a Senior AI Architect with deep expertise in Agentic AI , OpenAI's Agent SDK , and modern cloud-native AI platforms to lead next ...

This team is building the native AI capabilities that make Coda the most intelligent collaborative workspace on the market - and this is the role at the center of that bet. Coda is where teams build ...

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TECHNICAL ARCHITECT - CLOUD NATIVE & AI-LED ENGINEERING

UnivEdge Consulting LLC

Seattle, WA

$75.50 - $91/hr

Other

Posted 12 days ago


Job description

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.