Principal AI Architect
Key ResponsibilitiesArchitect, design, and evolve a scalable, secure AI platform and reference architecture that enables rapid development of AI-powered product capabilitiesDrive strategic decision-making across: Model selection and fine-tuning Retrieval-Augmented Generation (RAG) Agent frameworks Data pipelines Inference optimizationEvaluate and integrate: Open-source and commercial LLMs Vector databases Feature stores MLOps platformsCollaborate cross-functionally with Product, Engineering, Architecture, and UX to define AI requirements and prioritiesLead and influence engineering teams (directly and indirectly), fostering a culture of innovation and architectural excellenceLead architecture reviews, technical governance, and long-term platform planningAgentic AI & Advanced SystemsProvide architectural direction for Agentic AI systems, including: Workflow orchestration Multi-agent collaboration Context management Safety controls Autonomous decision-making frameworksDesign and implement LLMOps and AIOps practices for production systemsDrive observability practices for monitoring agent behavior and system performanceDefine guardrails for: Agent interactions Memory usage Context boundariesGovernance & StandardsDefine and enforce: Target-state architectures Principles and standards for AI/ML Responsible AI and ethical frameworks (e.g., GDPR, NIST AI RMF)Establish processes for metadata extraction and management, enabling granular access controlDefine AI/ML technical capabilities, including: Generative AI systems Data pipelines Model deployment strategies MLOps frameworksDevelop and maintain AI reference architectures and best practicesQualificationsExperience8+ years of experience as a Senior, Lead, or Principal Engineer/ArchitectHands-on experience with AI and ML systems in production environmentsProven ability to lead large-scale architectural initiatives and influence cross-functional decisionsTechnical SkillsStrong programming proficiency in: Python (expert-level required) Java, TypeScript, Node.js, or similarExperience with AI frameworks such as: LangGraph LangChain LlamaIndex Semantic Kernel AutoGenAI / ML ExpertiseDeep experience with: Large Language Models (LLMs) Embeddings Vector databases RAG architectures Model serving frameworksHands-on experience with Agentic AI patterns, including: Autonomous agents Tool usage Multi-agent coordination Goal-directed planningArchitecture & PlatformsStrong background in cloud platforms: AWS, Azure, or GCPExperience with: Containerization Serverless technologies Distributed systemsSecurity & Systems DesignExperience designing secure AI systems, including: Data privacy Encryption Compliance Responsible AI practicesSolid understanding of: API integration patterns Messaging systems Event-driven architecturesModern ArchitectureHands-on experience with: Microservices architectures Domain-driven design (DDD) Platform engineeringProven experience building scalable, high-performance distributed ...