Senior Solutions Architect

7 days ago


Bengaluru, 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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