AI/ Generative AI Architect

AI/ Generative AI Architect Chicago, ILFulltime (Permanent)Job Description:Experience Required: 10–12 yearsCore Skills:AI / Generative AI Architecture: GenAI solution architecture, enterprise AI platforms, AI product engineering, scalable AI systems.LLM & GenAI Technologies: Large Language Models (LLMs), copilots, conversational AI, intelligent automation, summarization engines, agent-based AI solutions.AI Product Management: Product lifecycle management, AI product strategy, roadmap planning, KPI definition, value realization metrics.Prompt Engineering & Model Optimization: Prompt strategies, model evaluation, fine-tuning coordination, AI testing frameworks.Cloud & Platform Engineering: Azure AI services, Azure OpenAI, GenAI playgrounds, LLMOps, MLOps pipelines, cloud-native AI deployment.AI Governance & Responsible AI: AI governance, Responsible AI, compliance, security, legal controls, human-in-the-loop validation.Frameworks & Accelerators: Reusable AI frameworks, accelerators, toolkits, enterprise AI enablement.Cross-Functional Collaboration: Stakeholder management, engineering collaboration, data science coordination, business alignment.Key Responsibilities:Own the complete lifecycle of AI and GenAI products from ideation through deployment and scaling.Translate business use cases into scalable and enterprise-grade AI product capabilities.Define product roadmaps, adoption metrics, business KPIs, and value realization measures.Design and enable GenAI-powered products including copilots, conversational AI, automation engines, and agentic solutions.Collaborate with engineering and data science teams on model selection, fine-tuning, prompting, and evaluation strategies.Build reusable GenAI frameworks, accelerators, and enterprise toolkits for faster implementation.Partner with cloud/platform teams to deploy AI solutions using Azure-based GenAI and LLMOps platforms.Ensure compliance with Responsible AI, governance, security, and enterprise regulatory standards.