Description

Lead solution design and delivery for complex data and AI problems, from discovery through to production-ready implementation.

This role is on-site.

Responsibilities

• Design scalable, modular systems and define architecture decisions for cross-functional data and AI initiatives.
• Build and deploy AI agents, multi-agent systems, and rapid prototypes that translate business requirements into technical solutions.
• Implement Model Context Protocol (MCP) servers and clients to connect agents with enterprise tools, APIs, and data sources.
• Create technical documentation including architecture diagrams, data flow maps, and API contracts for technical and non-technical audiences.
• Collaborate with product managers and engineering teams to co-define problems and mentor junior engineers.

Required Skills

• 5+ years of experience in software engineering with a focus on data and AI systems.
• Strong proficiency in designing and building AI agents and multi-agent workflows.
• Experience implementing LLMs, RAG systems, and ML models in production environments.
• Ability to design evaluation harnesses, guardrails, and monitoring pipelines for agent reliability.
• Proficiency in developing front-end interfaces and dashboards for data visualization.
• Experience working with APIs and integrating enterprise tools.
• Bachelor's degree in Computer Science or related field.

Preferred Skills

• Familiarity with Model Context Protocol (MCP) standards and tooling.
• Experience with UX design principles for simplifying complex technical flows.

Key Skills

Education

Bachelor's degree