Tech Lead / AI Architect (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Tech Lead / AI Architect (AI): Architecting and implementing dual-mode agentic AI assistant for in-vehicle commercial fleet operations with an accent on edge hardware and AWS Bedrock integration. Focus on agentic orchestration, edge-to-cloud data synchronization, STT/TTS pipelines, and proactive recommendation engines in connectivity-variable environments.
Location: Bogota, Colombia (Remote Friendly)
Company
Applied AI engineering firm designing and shipping AI co-workers that integrate into enterprise operations using AWS.
What you will do
- Define and own end-to-end architecture for dual-mode agentic AI system across offline edge and cloud-connected AWS Bedrock environments
- Drive decisions on agentic orchestration, data synchronization, voice/chat interfaces, and cloud infrastructure; author ADRs
- Lead engineering POD as primary technical authority, interfacing with client stakeholders
- Implement cloud provisioning, SQLite data layer, STT/TTS integration, REST APIs, and edge-to-cloud sync
- Design agentic layers with tool-use, memory, and conversational patterns; select edge LLMs and configure Bedrock Guardrails
- Ensure quality assurance, cross-functional coordination, and iterative delivery of testable software
Requirements
- 6+ years software engineering, 2+ years architectural leadership
- Hands-on agentic AI: orchestration, tool-use, conversational memory
- AWS/Bedrock experience: provisioning, Guardrails, STT/TTS integration
- Edge AI systems: offline inference, constrained environments, SQLite
- Proficiency in Python or TypeScript/Node.js
- Experience shipping POCs under time constraints; use of Claude/Cursor
Nice to have
- Experience with synthetic telemetry, distributed systems
- Agile delivery, ADRs, prompt engineering
Culture & Benefits
- Global team of senior engineers (15+ years avg experience) focused on craftsmanship and innovation
- High-performing, collaborative environment with T-shaped teams
- Work on meaningful AI systems for real-world enterprise workflows
- Hands-on leadership in nimble, fast-moving delivery centers
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