Senior Solutions Architect

1 week ago

bangalore, India Assessli ™ Full time

Position: Sr. Solution Architect — Large Behavioural Model (LBM) Ecosystem Location:  Bangalore (Onsite Only) Type:  Part-time | Immediate Joiners Preferred Experience:  7+ About Assessli 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. Role Overview 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. Key Responsibilities 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. Define standards for API design, caching, async workflows, and event-driven systems. Build privacy-first data pipelines integrating security, consent, and ethical AI principles. Oversee CI/CD pipelines, observability, and production readiness for multi-agent orchestration. 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. Requirements 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) . Exceptional documentation, communication, and team leadership skills. Prior exposure to AI, behavioural data, or R&D-focused systems  is highly preferred. What You’ll Deliver in the First 6 Months ✅ A scalable LBM architecture  connecting real-time behavioural data with AI agents. ✅ A robust backend system  ready for pilot deployment and multi-agent orchestration. ✅ End-to-end observability, security, and privacy frameworks . ✅ Mentorship for backend and AI teams to uphold best practices in data-driven system design . Why Join Assessli You won’t just build another platform — You’ll architect the intelligence layer of the next AI revolution. At Assessli, engineers don’t just write code; they build the future of how humans and AI coexist, learn, and evolve together.

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