AI Architect
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Summary
Designs and implements enterprise-scale AI systems, including LLMs, RAG pipelines, and intelligent agents, while setting MLOps and observability standards for a logistics-focused product company.
- Apply responsible AI practices
- Architect production AI and ML solutions
- Create reference architectures for AI workflows
- Define MLOps standards
- Define enterprise AI architecture
- Design RAG systems
- Design REST APIs for AI services
- Design embedding pipelines
- Design inference services
- Design intelligent agents at scale
- Ensure observability and cost monitoring
- Establish standards for LLM applications
- Evaluate AI models for enterprise use
- Implement model lifecycle management
- Implement monitoring and retraining
- Implement serverless microservices patterns
- Integrate AI services with core applications
- Lead architecture design reviews
- Lead proof of concept initiatives
- Lead solution designs for vector databases
- Mentor AI and software engineering teams
Perks/Benefits:
- 401k with company match
- Career growth
- Employee discounts
- Financial wellness planning
- Health, dental and vision coverage
- High visibility leadership partnership
- Tuition reimbursement