Principal AI Architect

Key Responsibilities



* Architect, design, and evolve a scalable, secure AI platform and reference architecture that enables rapid development of AI-powered product capabilities


* Drive strategic decision-making across: Model selection and fine-tuning Retrieval-Augmented Generation (RAG) Agent frameworks Data pipelines Inference optimization


* Evaluate and integrate: Open-source and commercial LLMs Vector databases Feature stores MLOps platforms


* Collaborate cross-functionally with Product, Engineering, Architecture, and UX to define AI requirements and priorities


* Lead and influence engineering teams (directly and indirectly), fostering a culture of innovation and architectural excellence


* Lead architecture reviews, technical governance, and long-term platform planning

Agentic AI & Advanced Systems



* Provide architectural direction for Agentic AI systems, including: Workflow orchestration Multi-agent collaboration Context management Safety controls Autonomous decision-making frameworks


* Design and implement LLMOps and AIOps practices for production systems


* Drive observability practices for monitoring agent behavior and system performance


* Define guardrails for: Agent interactions Memory usage Context boundaries

Governance & Standards



* Define 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 control


* Define AI/ML technical capabilities, including: Generative AI systems Data pipelines Model deployment strategies MLOps frameworks


* Develop and maintain AI reference architectures and best practices

Qualifications

Experience



* 8+ years of experience as a Senior, Lead, or Principal Engineer/Architect


* Hands-on experience with AI and ML systems in production environments


* Proven ability to lead large-scale architectural initiatives and influence cross-functional decisions

Technical Skills



* Strong programming proficiency in: Python (expert-level required) Java, TypeScript, Node.js, or similar


* Experience with AI frameworks such as: LangGraph LangChain LlamaIndex Semantic Kernel AutoGen

AI / ML Expertise



* Deep experience with: Large Language Models (LLMs) Embeddings Vector databases RAG architectures Model serving frameworks


* Hands-on experience with Agentic AI patterns, including: Autonomous agents Tool usage Multi-agent coordination Goal-directed planning

Architecture & Platforms



* Strong background in cloud platforms: AWS, Azure, or GCP


* Experience with: Containerization Serverless technologies Distributed systems

Security & Systems Design



* Experience designing secure AI systems, including: Data privacy Encryption Compliance Responsible AI practices


* Solid understanding of: API integration patterns Messagin...