Artificial Intelligence Architect

Job description

**Responsibilities:** - **Lead hands-on design and development of analytics, AI, and GenAI platforms, solutions, and services.** - **Establish reusable reference architectures, design patterns, standards, and architectural guardrails.** - **Support design and governance of enterprise GenAI capabilities including RAG, Agentic AI, multi-agent** **orchestration, prompt frameworks, knowledge management, and evaluation frameworks.** - **Define Responsible AI, security, privacy, observability, model lifecycle management, and operational governance** **controls.** - **Lead architecture, design, and implementation decisions across cloud-native applications, APIs, integrations, data** **platforms, containers, and DevOps pipelines.** - **Champion AI architecture strategy across data, model, application, and cloud infrastructure layers, including** **Generative AI, AI/ML platforms, model governance, responsible AI, security, observability, and scalable production** **deployment patterns.** - **Provide architecture leadership across multiple concurrent initiatives and work with delivery teams through** **implementation and production deployment.** - **Support solution sizing, proposals, client discussions, and technology modernization initiatives.** - **Mentor engineers, technical leads, and architects while driving adoption of engineering best practices and** **development standards.** - **Design and implement products and platforms that comply with the standards and best practices across multiple** **businesses & domains. Support architecture reviews & alignment with enterprise architecture and governance** **standards.** - **Drive the design, sizing, setup, and optimization of cloud environments and related services.** - **Advise on emerging technology trends and recommend adoption opportunities to maintain competitive advantage.** **Experience Needed:** - **15+ years of industry experience, including at least 5 years of experience as lead architect designing and building** **cloud-native analytics and AI / GenAI solutions. Hands-on Azure experience is required.** - **Hands-on experience delivering GenAI solutions into production environments including designing and governing** **enterprise AI architectures, prompt and RAG (retrieval-augmented generation) patterns, responsible AI controls &** **guardrails, AI orchestration, AI/ML model lifecycle management, and secure integration of AI capabilities into** **analytics and enterprise applicationsRole & responsibilities** **Preferred candidate profile**