AI Solution Architect (Agentic & Autonomous Systems)

AI Solution Architect (Agentic & Autonomous Systems)AI Solution Architect (Agentic & Autonomous Systems)Build Production-Grade Agentic Architectures for Global B2C Platforms We’re seeking a deeply technical AI Solution Architect to lead the design and delivery of agentic AI systems across financial and retail B2C enterprises. You’ll architect large-scale AI agents that operate autonomously within production environments, integrating LLMs, multi-agent workflows, cloud-native infrastructure and real-time API interfaces. Experience translating ML models into resilient cloud applications, optimizing for performance, observability and secure operations at scale. Core Responsibilities Architect distributed agentic systems using LLMs and tool-using AI components across enterprise cloud environments Design and implement modular, event-driven architectures (e.g., Lambda + SQS/SNS + Step Functions) to enable scalable agent workflows Develop and manage API layers (REST, GraphQL, WebSockets) to orchestrate intelligent interactions between agents, models and services Lead implementation of full-stack interfaces and services using Node.js, TypeScript, React.js, Express, Next.js Integrate ML models and embeddings into production pipelines using AWS SageMaker, Bedrock or OpenAI APIs Build support systems for autonomous agents including memory storage, vector search (e.g., Pinecone, Weaviate) and tool registries Enforce system-level requirements for security, compliance, observability and CI/CD Drive PoCs and reference architectures for multi-agent coordination, intelligent routing and goal-directed AI behavior Contribute to internal standards for scalable AI deployments, model governance, and fail-safe operations

5+ years in enterprise solution architecture with emphasis on AI/ML system design Deep hands-on experience with AWS: Lambda, API Gateway, SageMaker, DynamoDB, ECS, Step Functions Strong understanding of LLM integration, prompt chaining and tools like LangChain or Semantic Kernel Experience deploying containerized services using Docker, Kubernetes, or ECS Fargate Familiarity with agent tool-use patterns, function calling, and autonomous workflow design Proficient in designing asynchronous, event-driven systems and pub/sub messaging API-first mindset with deep knowledge of REST, GraphQL, and streaming protocols Infrastructure as Code using Terraform, AWS CDK or similar Experience with secure cloud deployments and production ML model integration

Bonus Skills Applied work with multi-agent systems, tool orchestration, or autonomous decision-making Experience with vector databases (Pinecone, Weaviate, FAISS) and embedding pipelines Knowledge of AI chatbot frameworks (Rasa, BotPress, Dialogflow) or custom LLM-based UIs Awareness of AI governance, model auditing, and data privacy regulation (GDPR, DPA, etc.) Familiarity with reinforcement learning, retrieval-augmented generation (RAG), or dynamic reasoning workflows