AI Application Engineer

AI Application Engineer

The AI Application Engineer is a highly versatile, customer-facing technical champion responsible for the end-to-end commercialization and deployment of Lenovo's Customer Service AI Solution (CSAS) offering. Bridging the gap between software engineering, pre-sales consulting, and product design, this role acts as the primary technical partner for clients.

You will lead technical pre-sales discussions, build functional AI proofs-of-concept (POCs), deploy core solution integrations, conduct internal sales enablement training, and translate real-world client requirements into reusable product models and roadmap priorities for our core R&D teams.

Key Responsibilities

• Pre-Sales, Discovery & POC Prototyping (25%)
• Technical Pre-Sales: Partner with business development and sales teams to pitch Lenovo's AI offerings, demonstrating technical feasibility and handling deep architectural discovery with client IT teams.
• Rapid POC Development: Design and build functional, high-impact AI Proof-of-Concepts (POCs) demonstrating RAG (Retrieval-Augmented Generation) capabilities, model accuracy, and system integration.
• Full-Stack Implementation & Customer Deployment (45%)
• Custom Integration Development: Write production-grade, fault-tolerant Python/TypeScript connectors, data transformers, and workflow scripts to link Lenovo's AI platform with legacy customer CRM, IVR, and database systems (e.g., Salesforce, ServiceNow, on-prem databases) with a "Zero Rip-and-Replace" philosophy.
• On-Site Ingestion & Operations: Lead the deployment of containerized (Docker, Kubernetes) AI solutions within client-managed private or hybrid cloud environments.
• Product Model Design & R&D Feedback (15%)
• Field-Driven Product Design: Act as a technical Product Manager in the field, clarifying ambiguous customer requirements, creating structured solution designs, and defining repeatable product models.
• R&D Feedback Loop: Package local client-side customizations and feature requests into reusable, productized templates and advocate for their inclusion in core platform R&D roadmaps.
• Sales Enablement & Value Engineering (15%)
• Internal Sales Enablement: Develop and deliver technical training to internal sales, delivery, and marketing teams to build organization-wide capability in pitching and positioning our AI offerings.
• Value Instrumentation: Design and implement telemetry (using structured logs, open-source tracing, or Prometheus) to track, measure, and mathematically prove business-level KPIs (e.g., Average Handling Time reductions, first-contact deflection, and ROI) directly to client stakeholders.

Basic Requirements

• Bachelors Degree in Computer Science, Engineering or related field
• Engineering Practice: 3–5+ years of software engineering, solution engineering, or systems integration experience in a customer-facing or consultative capacity.
• AI Application Experience: Hands-on experience building, testing, or deploying applications utilizing LLM APIs, vector databases, and GenAI orchestration frameworks (e.g., LangChain, LlamaIndex, OpenAI/Claude APIs).
• Full-Stack Tooling: Proficient in Python (FastAPI, Flask) or JavaScript/TypeScript (Node.js, React) and building REST/GraphQL API integrations.
• Infrastructure Knowledge: Experience working with cloud platforms (AWS, Azure, or GCP) and containerization tools (Docker).

Preferred Requirements

• Enterprise SaaS Platforms: Strong experience integrating with major enterprise developer platforms (e.g., Salesforce, ServiceNow, HubSpot, or Veeva).
• Product Mindset: Demonstrated experience capturing ambiguous requirements and documenting them as structured technical requirements or solution architectures.
• Grit & Problem-Solving: Ability to debug complex data-flow, networking, and rate-limiting issues under tight timelines in live client environments.

This role offers the flexibility to be home-based anywhere in the United States. If you're near our Chicago or Raleigh offices, we follow a friendly hybrid model with three days a week in the office - great for collaboration and connection! This role will require travel which may be up to 25%. We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class.

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