AI Enterprise Architect

About the role

We are looking for an experienced AI Enterprise Architect who can translate business needs into scalable AI‑enabled solutions. The role sits at the intersection of enterprise technology, software engineering and emerging AI capabilities, working closely with C‑level executives and engineering teams.

Key responsibilities

• Translate business requirements into enterprise‑wide technical solutions and create architecture blueprints, specifications, and implementation roadmaps.
• Design application, data, security, infrastructure, and integration architectures, evaluating build‑vs‑buy decisions and managing technical risks.
• Lead discovery workshops, architecture sessions, and client engagements with CTOs, CIOs, and digital leaders.
• Architect solutions using large language models, generative AI, AI agents, Retrieval‑Augmented Generation platforms, vector search, embeddings and semantic retrieval.
• Integrate AI services with existing enterprise platforms and APIs, implementing observability, guardrails and risk controls.
• Drive rapid MVP development, balance speed with scalability, and help productize repeatable enterprise solutions.

Required profile

• 8+ years of software engineering and architecture experience.
• Proven experience as a Solution Architect, Enterprise Architect or Technical Architect in both startup and large‑enterprise environments.
• Ability to engage with C‑level stakeholders and translate strategic goals into actionable technology plans.
• Comfort operating in ambiguous, fast‑paced settings while maintaining architectural rigor.

Required skills

• Large Language Models (LLMs) and Generative AI
• AI Agents and Retrieval‑Augmented Generation (RAG) platforms
• Vector search, embeddings, and semantic retrieval architectures
• API design and integration
• Enterprise application, platform, integration and security architecture
• Infrastructure architecture and cloud‑based solution design