Role SummaryWe are seeking a highly experienced AI Architect to help define and guide the organization's enterprise AI strategy and technical direction. This individual will partner with executive leadership, architects, data scientists, and engineering teams to design scalable AI platforms, reusable architectural patterns, and enterprise AI capabilities.
Key Responsibilities
- Define enterprise AI architecture, strategy, and technical roadmap aligned with business priorities.
- Design scalable AI platform architectures that support multiple products, business units, and use cases.
- Establish reusable architectural patterns for LLMs, Agentic AI, RAG, MCP, vector databases, AI orchestration, and knowledge management.
- Evaluate AI technologies, frameworks, models, and platforms, recommending appropriate solutions for enterprise adoption.
- Guide engineering teams in designing secure, scalable, and maintainable AI-native applications.
- Define enterprise AI governance, model lifecycle, prompt management, evaluation frameworks, observability, and responsible AI practices.
- Collaborate with data architects, platform engineers, and product teams to ensure AI solutions integrate effectively with enterprise data platforms and business workflows.
Desired Experience
- 12–15+ years of software engineering and architecture experience, including significant experience leading AI initiatives.
- Demonstrated experience designing enterprise-scale AI platforms rather than individual AI applications.
- Deep understanding of Generative AI, LLMs, Agentic AI, Retrieval-Augmented Generation (RAG), MCP, AI orchestration frameworks, and vector databases.
- Experience defining AI architecture across multiple business domains and enterprise applications.
- Strong cloud architecture experience (Azure, AWS, or GCP).
- Experience with modern AI frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI, or similar.
Pay: $130,000.00 - $160,000.00 per year
Work Location: Remote