Senior AI Engineer

Metropolis Technologies is creating artificial intelligence systems that make real-world experiences more responsive across parking, retail, and hospitality. The Senior AI Engineer will partner with business units to identify automation opportunities and build AI-powered applications and agentic workflows. The role owns systems end-to-end, including LLM architecture, data pipelines, production reliability, and stakeholder communication.

Responsibilities:

• Partner directly with business leaders, operations teams, and Process Analysts to deeply understand their workflows, identify high-impact automation opportunities, and translate ambiguous business challenges into scalable engineering specifications
• Prototype, build, and deploy AI-powered applications and agentic workflows that transform manual business processes into seamless AI-first operations
• Serve as the technical translator and primary communicator between the Applied AI engineering team and non-technical business units, managing stakeholder expectations and iterating rapidly based on real user feedback
• Architect and maintain LLM-based systems in the field, including prompt pipelines, tool-calling integrations, and retrieval-augmented generation (RAG) setups tailored to specific business use cases
• Build and maintain robust data pipelines connecting source systems (Snowflake, internal APIs, SaaS tools) to AI workflows, ensuring data quality and reliability for your stakeholders
• Own the end-to-end production reliability and business impact of the systems you deploy, monitoring, alerting, and iterating on AI outputs to ensure continuous value delivery
• Evaluate and integrate emerging AI tooling (models, frameworks, APIs) to ensure Metropolis is always leveraging the best available capabilities to solve operational problems