Job Description
The role involves designing, developing, and deploying AI-powered solutions to enhance internal productivity and automate processes within the organization, focusing on natural language processing, automation, and integration with existing enterprise systems.
Key Responsibilities
- Design, develop, and deploy AI-powered solutions to enhance 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 performance, adoption, and impact of AI solutions.
- Ensure AI solutions adhere to data privacy, security, and compliance standards.
Requirements
- Ten (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 a related field.
- Hands-on experience with Generative AI tools such as Gemini App, Vertex AI, or similar technology.
- Familiarity with large language models (LLMs) and related technologies such as vector databases, Retrieval-Augmented Generation (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 working with enterprise systems such as Google Workspace, Gemini App, Notebook LM, Google Cloud Platform, Vertex AI, Salesforce, Jira, and Confluence to seamlessly integrate AI capabilities.
- Experience in managing APIs and data connectors to ensure smooth operation of AI solutions.
- Ability to build metric dashboards to track key performance indicators (KPIs) and measure the impact, adoption, and value of deployed AI agents and solutions.
- Experience collaborating with Security and Compliance teams to implement best practices for data privacy, model accuracy, and security in all AI solutions.
- Proficiency in a programming language such as Python.
- Experience with cloud platforms such as AWS and Google Cloud Platform (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
Salary range of $182,900 - $228,600 USD (dependent on experience, skills, location)
Ready to Apply?
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