AI Solutions Architect: Prototyping to Production

Lenovo; North Carolina; On-site; USD 140,000 - 210,000; Full time

Job summary

Lenovo in the United States is seeking an experienced Solution Architect to design cost-effective AI solutions that meet client and business needs. You will work with development and delivery teams to ensure designs are implemented successfully and act as a technical advisor to sales and offerings.

You'll design end-to-end architectures including data pipelines, model serving, integration, security, and deployment paths from pilot to production, embedding responsible AI, privacy, and governance.

Qualifications

• Bachelor's degree in computer science, engineering, or related field.
• 2–5 years of combined solution architecture and software development experience, including at least one design taken through to delivery.

Responsibilities

• Design end-to-end AI solution architectures — data pipelines, model serving, integration, and security controls.
• Define deployment strategy and the path from pilot to production; embed responsible-AI, privacy, and regulatory requirements in the design.
• Work day-to-day with the development team through build — design reviews, backlog shaping, and unblocking technical decisions.
• Provide and review technical content for RFP/RFI responses, proposals, and SOWs; support pricing with defensible effort and run-cost inputs.
• Design and run demos, proofs of concept, and pilots with explicit success criteria and a defined route to production.

Skills

Python

SQL

JavaScript/TypeScript

FastAPI

LangChain

LlamaIndex

Agent framework

Education

Bachelor's degree in computer science, engineering, or related field

Tools

AWS

Azure

Google Cloud

Docker

Kubernetes

Terraform

CI/CD

Databricks

Snowflake

Job description

Lenovo in the United States is seeking an experienced Solution Architect to design cost-effective AI solutions that meet client and business needs. You will work with development and delivery teams to ensure designs are implemented successfully and act as a technical advisor to sales and offerings.

You'll design end-to-end architectures including data pipelines, model serving, integration, security, and deployment paths from pilot to production, embedding responsible AI, privacy, and governance.