AI Architect

Overview

Lead the design, strategy, and implementation of cutting-edge AI/ML platforms and solutions as a full-time, remote AI Architect.

What you'll do

• Define technical vision and architecture for conversational AI platforms, AI governance systems, and domain-specific agentic solutions
• Design cloud-native, microservices-based architectures for GenAI applications using AWS/Azure, Kubernetes, and API management platforms
• Establish architectural standards for LLM integration (Claude, OpenAI), RAG systems, vector databases, and AI orchestration
• Drive technology selection for frontend (React/Angular), backend (FastAPI, Node.js), databases (PostgreSQL, MongoDB, OpenSearch), and AI frameworks (LangChain, LlamaIndex)
• Design AI governance frameworks including usage tracking, cost optimization, access control (RBAC/ABAC), and compliance enforcement (SOC 2, GDPR)
• Architect API security patterns (OAuth 2.0, JWT, mTLS), data encryption, and audit logging for AI platforms
• Define multi-tenancy architecture for SaaS-based AI solutions with role-based access and data isolation
• Provide technical leadership to engineering teams (backend, frontend, AI/ML, DevOps) across India CoE and Singapore
• Conduct architecture reviews, design reviews, and guide implementation decisions for high-impact GenAI projects
• Collaborate with product managers, business stakeholders, and executive leadership to align technical architecture with business objectives
• Mentor architects and senior engineers on cloud-native design, AI/ML best practices, and enterprise integration patterns
• Design MLOps pipelines for AI model deployment, versioning, monitoring, and A/B testing
• Architect enterprise integrations with APIs, message brokers (Kafka, RabbitMQ), and legacy systems using event-driven patterns
• Define observability and monitoring strategies using Prometheus, Grafana, Datadog, and CloudWatch

What you'll need

• 15+ years in enterprise software architecture with 5+ years designing AI/ML platforms or GenAI solutions
• Deep expertise in cloud-native architectures (AWS/Azure), microservices, API design, and distributed systems
• Strong knowledge of GenAI technologies (LLMs, RAG systems, vector databases, prompt engineering, agentic frameworks)
• Proven experience architecting enterprise-scale platforms serving 10,000+ users with high availability and security requirements
• Expert-level knowledge of backend frameworks (FastAPI, Node.js, Django), frontend frameworks (React, Angular), and database systems (SQL, NoSQL, vector databases)
• Strong understanding of AI/ML frameworks (LangChain, LlamaIndex, Hugging Face), model serving (TensorFlow Serving, Triton), and MLOps practices
• Proficiency in API management (MuleSoft, Apigee, Kong), event-driven architectures, and message brokers (Kafka, RabbitMQ)
• Deep knowledge of security (OAuth 2.0, JWT, encryption, OWASP), compliance (SOC 2, GDPR), and data privacy
• Proven ability to lead cross-functional teams, influence technical decisions, and drive architectural alignment
• Excellent communication skills with ability to present complex architectures to executive leadership and non-technical stakeholders
• Experience managing vendor relationships, technology partnerships, and third-party integrations
• Strong decision-making abilities based on data-driven insights, trade-off analysis, and business impact

Nice to have

• Certifications: AWS Solutions Architect Professional, Azure Solutions Architect Expert, TOGAF, or equivalent
• Experience with AI governance platforms, prompt management systems, and LLM observability tools (LangSmith, Weights & Biases)
• Knowledge of service mesh (Istio, Linkerd), API federation, and zero-trust security architectures
• Prior experience in manufacturing, engineering, or industrial domains

Details

• Full-time, remote