We are seeking an experienced and forward-thinking ELITEA Architect to lead enterprise AI adoption and solution architecture on the ELITEA Agentic AI Platform . In this strategic role, you will design scalable, intelligent AI-powered solutions, define architecture standards, and guide customer and internal teams in implementing AI-driven workflows and autonomous agents that deliver measurable business outcomes. Req# [redacted] Responsibilities Define and own the architecture strategy for AI, GenAI, and Agentic AI solutions built on the ELITEA platform Design scalable, secure, and reusable AI agent architectures aligned with enterprise standards and governance requirements Collaborate with business and technology stakeholders to identify AI adoption opportunities and translate business needs into actionable solution designs Establish integration patterns with enterprise systems, APIs, knowledge repositories, and third-party tools Provide architectural guidance on agent orchestration, prompt engineering, governance, security, and responsible AI practices Lead solution reviews, architecture assessments, and technical decision-making across multiple teams and workstreams Mentor development, QA, and platform teams on AI solution implementation and architectural best practices Support customer onboarding, AI adoption programs, and enterprise governance initiatives Create architecture blueprints, reference architectures, reusable frameworks, and implementation standards Conduct client workshops, executive presentations, technical demonstrations, and architecture reviews Continuously evaluate emerging AI technologies and recommend innovations to enhance platform capabilities Requirements 10+ years of experience in software engineering, solution architecture, or enterprise application architecture Strong understanding of AI, GenAI, LLMs, Agentic AI concepts, RAG, prompt engineering, and AI solution design Proven experience designing enterprise-scale applications, integrations, and cloud-native architectures Hands-on experience with APIs, microservices, workflow automation, and integration frameworks Proficiency with one or more cloud platforms: Azure, AWS, or GCP Excellent stakeholder management, communication, and consulting skills Demonstrated ability to work effectively with business leaders, development teams, and client stakeholders Preferred Skills: Experience with ELITEA or similar Agentic AI platforms Familiarity with GitHub Copilot, Azure OpenAI, Azure AI Services, and AI governance frameworks Exposure to Python, workflow orchestration platforms, automation frameworks, and AI development tools Understanding of Agile, Scrum, SAFe, and modern DevOps practices Experience leading enterprise AI transformation or large-scale AI adoption initiatives Nice to have Experience with AI security, compliance, and responsible AI practices and frameworks Knowledge of vector databases, knowledge management systems, and Retrieval-Augmented Generation (RAG) architectures Experience working in large-scale, multi-vendor enterprise environments