Job Description
The role involves designing, developing, and deploying AI-powered solutions to enhance internal productivity and automate business 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.
- Build and maintain APIs and data connectors to support AI applications.
- Create dashboards to monitor performance, adoption, and impact of AI solutions.
- Ensure data privacy, security, and model accuracy in AI implementations.
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 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 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: $182,900 - $228,600 USD (dependent on experience, skills, location)
Ready to Apply?
Join Planet and make an impact in renewable energy
Stay Updated on Sustainability Jobs
Get the latest renewable energy jobs and career tips delivered to your inbox.
Job Alerts
Get notified about new sustainability jobs
More at Planet
More jobs at Planet
Customer Success Manager - Defence and Intelligence Middle East
Planet
NEW
Not specified
Full Time
16h
Global Deal Desk Manager
Planet
NEW
San Francisco
Full Time
16h
$128k-161k
Senior Product Manager, Real Time Insights
Planet
NEW
San Francisco
Full Time
16h
$163k-203k
More jobs in San Francisco, California
Staff Finance Associate, Energy Storage
Redwood Materials
NEW
San Francisco
Full Time
16h
$138k-183k
Frontend Engineer
Loft
NEW
San Francisco
Full Time
16h
Manager, Community Affairs, West Region
Clearway Energy
San Francisco
Full Time
5d
$125k-160k