AWS Solution Architect

23 hours ago

Bangalore, India Assessli ™ Full time

Solution Architect — Large Behavioural Model (LBM) Ecosystem Location: Type: Part-time | Immediate Joiners Preferred Experience: 7+ Assessli is building the world’s first  Large Behavioural Model (LBM)— a self-evolving AI framework that understands  how humans think, behave, and adapt. Our mission is to create the foundation of  Human–AI Symbiosis through a multi-agent behavioural intelligence platform and  Physical AI Companion that bridges human cognition with machine reasoning. We’re looking for a  Solution Architect who can design the backbone of this new AI ecosystem — someone who thrives at the intersection of large-scale data, distributed intelligence, and system architecture. As the  Solution Architect , you’ll lead the design and architecture of Assessli’s  LBM platform — a distributed, data-driven, and multi-agent system that integrates real-time behavioural signals, AI agents, and decision orchestration pipelines. You’ll work closely with the  CTO and AI core team to transform LBM’s theoretical framework into a reliable, secure, and scalable production infrastructure. Architect and document end-to-end system design across backend, API, data, and AI agent layers. Design data pipelines connecting  mobile, wearable, and backend systems with the LBM inference engine. Implement scalable frameworks for  knowledge graphs, embeddings, and behaviour-driven data models. Build privacy-first data pipelines integrating  security, consent, and ethical AI principles. Review and mentor development teams to ensure performance, fault tolerance, and maintainability. Collaborate with neuroscience, AI, and product teams to translate LBM concepts into tangible systems. 7+ years in  system architecture, backend engineering, or distributed AI platforms. ~ Deep expertise in  Python (FastAPI) ,  Node.js , or  Go for backend microservices. ~ Hands-on experience with  PostgreSQL, Redis , and  Graph/NoSQL databases (Neo4j, MongoDB, DynamoDB) . ~ Proven experience designing  event-driven, microservice-based architectures . ~ Proficiency in  AWS or GCP (ECS, Lambda, CloudWatch, Pub/Sub, etc.) ~ Familiarity with  vector databases, message queues (Kafka, RabbitMQ) , and  knowledge graph systems. ~ Strong understanding of  data consent, privacy, and secure edge data design (GDPR, DPDPA) . ~ Prior exposure to  AI, behavioural data, or R&D-focused systems is highly preferred. A  scalable LBM architecture connecting real-time behavioural data with AI agents. ✅ A  robust backend system ready for pilot deployment and multi-agent orchestration. ✅ Mentorship for backend and AI teams to uphold  best practices in data-driven system design . You’ll  architect the intelligence layer of the next AI revolution. they build the future of how humans and AI coexist, learn, and evolve together.

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