Senior Solutions Architect (AI & Agentic Systems)

9 months ago

Chennai, IndiaSenior

Responsibilities

Design robust, scalable, secure end-to-end architectures for complex distributed systems.
Define integration patterns for AI capabilities across enterprise workflows, legacy systems, and microservices.
Establish architectural standards and code quality guidelines across engineering teams.
Translate business requirements into technical specifications and communicate architecture decisions to executives and product leaders.
Architect multi-agent systems with planning, execution, and research agents.
Design LLM orchestration and inference layers supporting multiple providers, fallback strategies, caching, and cost optimization.
Design context management, vector database, and shared-memory systems for long-running agent sessions.
Create secure protocols for agents to interact with filesystems, browsers, and APIs using standards such as Model Context Protocol.
Guide cloud-native, backend, data, and production AI platform architecture.

10+ years of software engineering experience and 5+ years as a Solutions Architect.
Expertise with AWS, Azure, or GCP; Kubernetes or Docker; and serverless architecture patterns.
Deep proficiency in TypeScript/Node.js or Python and strong API design experience.
Experience designing relational and NoSQL data models, including PostgreSQL and SQLite.
Understanding of agent architectures such as ReAct and Plan-and-Solve, tool calling, and multi-agent orchestration.
Experience building or architecting platforms using LLMs, embeddings, and vector stores such as Pinecone, Weaviate, or Milvus.
Familiarity with deploying and monitoring AI models in production.
Preferred experience with Tauri or Electron, LangChain, AutoGPT, custom agent frameworks, local-first architectures, and embedded databases.
AWS Certified Solutions Architect—Professional certification or a similar certification is preferred.