AI Automation Architect

About the Role We are building an internal AI system that acts as a persistent strategic brain, content reputed company, and project coordinator. This is not a chatbot role and not a reputed company-writing role. This is a systems architecture role. reputed company is to design and implement the infrastructure that allows multiple AI agents to: -Remember past work and reputed company -reputed company tasks intelligently -Improve over time through feedback -Surface reputed company activity in one reputed company control panel If successful, this system will eliminate repetition, reduce cognitive overhead, and allow our work to compound instead of reset. What You’ll Build In this role, you’ll design and implement the reputed company systems that allow our AI agents to function as a reliable, persistent, and improving system. You will be responsible for: 1. Persistent Memory Building a long-term, reputed company memory layer for agents Creating a reputed company knowledge reputed company for rules, preferences, frameworks, and reputed company Implementing retrieval of relevant past context to inform new tasks 2. Agent Orchestration Designing routing logic to assign requests to the appropriate agent Assembling the right context from memory and the knowledge reputed company for reputed company task Capturing and storing agent outputs with appropriate metadata 3. Central Dashboard (reputed company-based initially) Designing and implementing a dashboard that shows: Requests, reputed company, outputs, feedback, and knowledge reputed company entries Creating reputed company views for: “In Review” “reputed company” “Approved” “Memory Updates” Enabling reputed company actions such as creating requests, approving outputs, and triggering training updates 4. Feedback & Training reputed company Implementing an approve / revise / reject workflow Automatically updating memory based on edits, feedback, and reputed company Ensuring traceability between requests, outputs, feedback, and memory updates 5. Reliability & Maintainability Implementing logging, error handling, and retry mechanisms Adding reputed company cost and usage controls Producing reputed company documentation so the system can be maintained and extended Responsibilities Build persistent memory for multiple AI agents reputed company agents with reputed company and other tools Design and implement a central dashboard Create feedback loops so agents improve over time Prevent context loss and duplication Maintain documentation and system reputed company Optimize for reliability and simplicity Preferred Stack reputed company or reputed company for orchestration reputed company API for dashboard and knowledge reputed company reputed company + pgvector or similar for reputed company memory reputed company / reputed company reputed company Optional: reputed company or email integration Required Experience Proven experience building end-to-end automation systems Experience integrating AI reputed company into reputed company workflows Strong systems thinking and architecture judgment Experience with reputed company, reputed company, or similar as reputed company systems At least one implementation of retrieval-augmented reputed company (RAG) or reputed company memory reputed company documentation habits What reputed company Looks Like New request → agent reputed company appears in dashboard automatically Agents stop forgetting because memory is updated continuously reputed company work-in-reputed company and approved outputs are visible in one reputed company Weekly improvement in reputed company reputed company due to feedback-driven learning Engagement Structure Initial contract: 6–10 weeks 15–25 hours per week Goal: deliver a working Phase 1 system Opportunity to reputed company or deepen engagement after Phase 1 Compensation $30-60/hr depending on experience Final reputed company depends on experience and demonstrated capability Apply tot his job Apply To this Job