Artificial Intelligence Engineer

Role Summary :This role is for the “GenAI / agentic build‑out” workstream). Basically, an AI engineer, keeping up with the latest, forward thinking, plug and play, marginalize everything so when technology changes he /she can quickly limit to plug that gap. A Lead engineer responsible for designing, developing, and operationalizing enterprise-scale Generative AI (GenAI) solutions. This position combines deep hands-on expertise in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agentic AI architectures with strong technical leadership to deliver secure, scalable, and resilient AI systems. The role partners across engineering, product, and business teams to translate complex requirements into production-ready AI capabilities aligned with enterprise standards for security, risk, and responsible AI. This is a modern AI engineer with agentic systems experience. Job Description :Technical Depth & InnovationStrong expertise in GenAI architectures and evolving AI technologiesAbility to balance experimentation with enterprise-grade reliabilityBuild and integrate AI agentsArchitecture & Systems ThinkingDesigns scalable, distributed, and resilient systemsAligns architecture decisions with enterprise standards and long-term strategyDesign, develop, and deploy GenAI solutions leveraging:Large Language Models (LLMs)Retrieval-Augmented Generation (RAG) architecturesPrompt engineering techniquesAgentic AI workflows and orchestrationBuild intelligent systems using frameworks such as LangChain, LangGraph, AWS Bedrock, and Microsoft Foundry Agent ServiceLead the end-to-end lifecycle of GenAI solutions, including:Solution architecture and engineeringIntegration with enterprise systemsSecure deployment and release managementMonitoring, observability, and continuous optimizationEvaluate emerging tools and frameworks to continuously improve solution quality and innovationWork with Claude, CoCo, Genie, LangChain (or its successor)Handle API integration, orchestration, plumbingMove fast and adapt to rapidly changing AI techWork across Snowflake + Databricks + OpenAIProvide architectural leadership and guidance across GenAI initiativesDrive critical design decisions for large-scale, complex AI solutionsMentor and coach engineers and development teamsTranslate business requirements into scalable, secure, and resilient technical solutionsPartner with stakeholders across product, business, risk, and security functions