AI Architect for Enterprise GTM & Analytics (Hybrid)

SmartRecruiters, Inc.; Sunnyvale (CA); Hybrid; USD 141,000 - 231,000; Full time

Job summary

LinkedIn is hiring an AI Architect to design, build, and launch AI-powered features inside LinkedIn's business applications. This product-minded role will own end-to-end features from framing to production rollout, collaborating with product managers, data engineers, and platform teams to deliver enterprise-grade AI capabilities.

The role emphasizes responsible AI practices, security, and scalable performance, working in a hybrid environment with offices in multiple cities and a focus on

Qualifications

• 5+ years of professional software engineering experience building and maintaining production applications.
• 5+ years of experience building or contributing to enterprise or business applications.
• 1+ years of experience with GenAI technologies and frameworks (e.g., LangChain, LLM APIs).
• 1+ years of architecting, building, and deploying machine learning models in production environments.

Responsibilities

• Define the technical roadmap and architecture for Technology & Product Operations org, including frameworks, tooling, and practices.
• Lead the hands-on design, development, and deployment of scalable data products, AI/ML models, and GenAI-powered workflows.
• Apply modern AI, LLMs, and ML techniques to solve GTM business problems within Enterprise Applications.
• Design for quality and trust: evaluation criteria, active monitoring, guardrails, and performance measurement.

Skills

Python

SQL

LangChain

LLM APIs

Education

Bachelor's degree in Computer Science, Engineering, or a related field

Tools

GenAI frameworks

RAG pipelines

Job description

LinkedIn is hiring an AI Architect to design, build, and launch AI-powered features inside LinkedIn's business applications. This product-minded role will own end-to-end features from framing to production rollout, collaborating with product managers, data engineers, and platform teams to deliver enterprise-grade AI capabilities.

The role emphasizes responsible AI practices, security, and scalable performance, working in a hybrid environment with offices in multiple cities and a focus on