Research, deploy, and maintain AI models and automation solutions; integrate systems and APIs; manage AWS infrastructure and PostgreSQL databases; build BI dashboards; monitor and optimize AI systems and provide technical support.
This is a remote position.
We are seeking a skilled AI Technician to research, implement, and maintain AI-driven solutions that enhance business operations, improve efficiency, and drive innovation. The ideal candidate has experience with AI tools, automation platforms, AWS cloud infrastructure, databases, business intelligence dashboards, and systems integration.
Key Responsibilities
Artificial Intelligence & Automation
Key Responsibilities
Artificial Intelligence & Automation
- Research and evaluate emerging AI technologies and automation opportunities.
- Deploy, optimize, and maintain AI models, workflows, and business automation solutions.
- Identify opportunities to improve operational efficiency through AI and automation.
- Integrate business systems, APIs, and third-party applications.
- Develop and maintain automated workflows and data pipelines.
- Ensure seamless data flow and synchronization across platforms.
- Manage AWS-hosted applications and cloud infrastructure.
- Maintain PostgreSQL and other business-critical databases.
- Support database performance, reliability, and data integrity.
- Create and maintain dashboards and reports using Power BI, Looker Studio, or similar tools.
- Transform operational and business data into actionable insights.
- Monitor, troubleshoot, and optimize applications, integrations, and AI systems.
- Document technical processes, workflows, and system configurations.
- Provide technical support and guidance to internal teams.
Requirements
Required Qualifications
- Minimum of 6 months of related experience in AI, automation, systems integration, software development, data engineering, or a similar technical role.
- Experience working with AI tools, machine learning concepts, and business process automation.
- Knowledge of AWS cloud services, including EC2, Lightsail, RDS, and IAM.
- Experience with PostgreSQL, SQL, and database management.
- Experience integrating SaaS platforms, APIs, and third-party applications.
- Familiarity with automation platforms such as Zapier, Make, or similar tools.
- Experience using Power BI, Looker Studio, Tableau, or other business intelligence tools.
- Strong troubleshooting, analytical, and problem-solving abilities.
- Excellent written and verbal communication skills.
- Ability to work independently and manage priorities in a remote environment.
- Experience with DevOps practices, deployment pipelines, and system monitoring.
- Background in full-stack application development.
- Knowledge of restaurant, hospitality, retail, or multi-location business operations.
- Experience implementing AI-powered reporting, analytics, or operational solutions.
- Familiarity with software architecture, systems design, and product development methodologies.
Benefits
Why Join Us?- Fully Remote – Work from anywhere.
- HMO Coverage – Health benefits to support your well-being.
- Paid Leaves – Enjoy vacation and sick leave benefits.
- Career Growth – Opportunities for professional development and advancement.
- Salary Progression – Competitive compensation with growth based on performance and contributions.
Similar Jobs
Cloud • Information Technology • Security • Software • Cybersecurity
Serve as the field technical authority bridging enterprise AI and security: drive AI security strategy, lead demos and POVs, advise on LLM/RAG/agent risks and data protection, influence product roadmap, and create reusable enablement assets to scale sales and secure production AI deployments.
Top Skills:
AgentsApi IntegrationsCloud-Native Security PlatformsData Loss Prevention (Dlp)Llm ApisLlmsModel Context Protocol (Mcp)Prompt WorkflowsRetrieval-Augmented Generation (Rag)Zero Trust
Cloud • Information Technology • Security • Software • Cybersecurity
Lead field-facing AI security strategy for enterprise customers: architect solutions, deliver demos/POVs, advise on LLM/RAG/agent security, prevent data exposure, and scale enablement across sales and product teams.
Top Skills:
AgentsApi IntegrationsCloud-Native Security PlatformsDlpLlm ApisLlmsMcp (Model Context Protocol)Prompt WorkflowsRagZero Trust
Cloud • Information Technology • Security • Software • Cybersecurity
Lead field-facing AI security strategy for enterprise accounts: architect AI security solutions, deliver demos/POVs, advise on LLM/RAG/agent risks, scale enablement assets, and feed product roadmap with customer feedback to securely enable enterprise AI adoption.
Top Skills:
AgentsApi IntegrationsCloud-Native Security PlatformsData Loss Prevention (Dlp)Generative AiLarge Language Models (Llms)Llm ApisModel Context Protocol (Mcp)Prompt EngineeringRetrieval-Augmented Generation (Rag)Zero Trust
What you need to know about the Seattle Tech Scene
Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
