Bachelor's degree in computer science, engineering, or related field, or equivalent experience.
2-5 years of solution architecture and software development experience, including at least one design delivered.
Solid understanding of enterprise business applications and integration patterns.
Practical experience delivering AI/ML solutions into production on a major cloud platform.
Strong communication skills for explaining designs to diverse stakeholders.
Responsibilities
Design end-to-end AI solution architectures, including data pipelines and security controls.
Define deployment strategies from pilot to production, incorporating responsible AI and regulatory requirements.
Collaborate daily with development teams on design reviews and technical decisions.
Build prototypes and mock-ups to clarify designs and reduce risks.
Contribute to the codebase for spikes and reference implementations as needed.
Support sales teams with technical content for proposals and RFPs.
Run demos and proofs of concept with clear success criteria.
Benefits
Opportunity to work on cutting-edge AI solutions.
Collaborative environment with cross-functional teams.
Exposure to diverse enterprise applications and integration challenges.
Professional development opportunities in AI and cloud technologies.
Flexible work arrangements and potential travel for client engagements.
Full Job Description
General Information
Req #
WD00104425
Career area:
Artificial Intelligence
Country/Region:
United States of America
State:
North Carolina
City:
Morrisville
Date:
Friday, August 28, 2026
Working time:
Full-time
Additional Locations: * United States of America - North Carolina - Morrisville
Description and Requirements
Role Summary
This individual designs and validates cost-effective AI solutions that meet client and business requirements, translating complex needs into implementable architectures. Works primarily with development and delivery teams to ensure the design is built and delivered successfully, and supports the sales and offering teams as a technical advisor rather than a commercial owner. Hands-on work is situational - the ability to produce FDE-style mock-ups and prototypes is highly desired.
Key Responsibilities
Solution Design and Delivery
Design end-to-end AI solution architectures - data pipelines, model serving, integration, and security controls - against functional and non-functional requirements.
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.
Hands-On Technical Work
Build FDE-style mock-ups, prototypes, and thin vertical slices to de-risk a design or make a concept tangible for the client.
Prove out integration patterns, model behavior, and performance assumptions in code before the team commits to them.
Contribute to the codebase where the situation calls for it - spikes, reference implementations, accelerators - without becoming a permanent delivery resource.
Go-to-Market Support (Sales and Offering Teams)
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.
Convert repeatable client patterns into productized offerings, accelerators, and reference architectures.
Technical Skills
Languages & frameworks: Python (primary), SQL, JavaScript/TypeScript; FastAPI, LangChain or LlamaIndex, one agent framework.
AI/ML: LLM prompting and evaluation, RAG, embeddings and vector stores, fine-tuning, guardrails, inference cost and latency optimization.
Cloud & platforms: AWS, Azure, or Google Cloud AI/ML stack; containers (Docker, Kubernetes), IaC (Terraform), CI/CD.
Data: Data modeling, pipelines and ETL/ELT, streaming and batch patterns, lakehouse and warehouse platforms (Databricks, Snowflake, or equivalent).
Enterprise integration: REST/GraphQL APIs, event-driven and messaging patterns, SSO and identity, integration with ERP, CRM, and ITSM platforms.
Architecture & security: Reference and solution architecture documentation, non-functional design (scalability, availability, observability), data privacy and responsible-AI controls.
Required Qualifications:
Bachelor's degree in computer science, engineering, or a related field, or equivalent practical experience.
2-5 years of combined solution architecture and software development experience, including at least one design taken through to delivery.
Preferred Qualifications:
Solid understanding of enterprise business applications - ERP, CRM, ITSM, data platforms - and the integration patterns that connect them.
Practical experience delivering AI/ML or generative-AI solutions into production, with working knowledge of a major cloud platform (AWS, Azure, or Google Cloud).
Command of modern AI patterns: RAG, agentic workflows, fine-tuning, evaluation, and guardrails.
Current hands-on ability to produce a credible prototype independently (Python plus a modern AI/agent framework).
Strong communication - able to explain a design to engineers, client stakeholders, and sales; willing to travel to client sites as needed.
Cloud or AI professional-level certifications (AWS/Azure/GCP architect or ML specialty).
Consulting, systems integrator, or ISV background supporting sales and offering teams from a delivery-side role.
Industry or enterprise functional depth (financial services, healthcare, manufacturing; finance, supply chain, service).
MLOps/LLMOps tooling experience, or forward-deployed and embedded engineering work inside a client's environment.
Core Competencies
Architectural judgment - chooses the simplest design that meets the requirement and defends the trade-offs.
Business context - fits the design to the client's processes and application landscape.
Ambiguity tolerance - produces a workable design from incomplete inputs and refines it as facts arrive.
Influence without authority - aligns development, delivery, sales, and partners on one solution.
Builder's instinct - reaches for a prototype when a document would not settle the question.
Success Measures
Architected solutions reaching production on scope and on schedule.
Pilot-to-production conversion rate.
Reuse of reference architectures and accelerators across accounts.
Development-team and sales feedback on support quality.
Additional Locations: * United States of America - North Carolina - Morrisville
About Lenovo
Lenovo is a multinational technology company that designs, develops, and sells a wide range of computer hardware and electronics. The company was founded in 1984 and is headquartered in Beijing, China. Lenovo is one of the largest computer manufacturers in the world and operates in over 60 countries. The company's products include laptops, desktops, tablets, smartphones, and servers. Lenovo is committed to innovation and has a reputation for producing high-quality products that are both reliable and affordable.
