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Applied AI Engineer, Digital Employee Experience

Planet
San Francisco, California
Full Time
Posted October 7, 2025
$183k - $229k
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Job Description

An Applied AI Engineer role focused on designing, developing, and deploying AI-powered solutions to enhance internal productivity and automate business processes within the organization. The position involves integrating AI technologies with existing systems, creating dashboards, and collaborating with various teams to improve employee workflows.

Key Responsibilities

  • Design, develop, and deploy AI solutions to improve internal productivity and automate business processes.
  • Identify opportunities for AI integration across organizational workflows and systems.
  • Collaborate with stakeholders to translate requirements into technical AI solutions.
  • Integrate AI capabilities with existing enterprise systems such as Google Workspace, Salesforce, Jira, and others.
  • Manage APIs and data connectors to ensure seamless AI solution operation.
  • Build dashboards to monitor AI performance, adoption, and impact metrics.
  • Ensure AI solutions adhere to data privacy, security, and compliance standards.

Requirements

  • 10 years of experience in a solution engineering architecture or technical product management role, with a focus on digital employee experience and intelligent automation.
  • Bachelor's degree in Computer Science, engineering or related field.
  • Hands-on experience with Generative AI tools like Gemini App, Vertex AI or similar technology.
  • Familiarity with large language models (LLMs) and related technologies such as vector databases, RAG architectures, and prompt engineering.
  • Solid understanding of system architecture and APIs.
  • Expertise in using tools like Looker, Power BI or similar to create clear and compelling dashboards.
  • Ability to identify business challenges and translate them into effective, scalable AI solutions.
  • Experience implementing Agentic AI platforms such as Glean, Moveworks, Vertex AI, Agent Force, or Agent Space.
  • Proficiency in a programming language such as Python.
  • Experience with cloud platforms AWS and GCP.

Benefits & Perks

Comprehensive Medical, Dental, and Vision plans
Health Savings Account (HSA) with a company contribution
Generous Paid Time Off in addition to holidays and company-wide days off
16 Weeks of Paid Parental Leave
Wellness Program and Employee Assistance Program (EAP)
Home Office Reimbursement
Monthly Phone and Internet Reimbursement
Tuition Reimbursement and access to LinkedIn Learning
Equity
Commuter Benefits if local to an office
Discretionary short-term and long-term incentives bonus and equity
Competitive salary range ($182,900 - $228,600 USD for San Francisco)

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