CDI - Senior AI Builder

This role designs and implements AI solutions, bridging business requirements and technical execution. The Senior AI Solution Architect defines the architecture for AI systems, selects appropriate technologies, and ensures scalability and performance, requiring strong expertise in AI/ML frameworks, cloud platforms, and solution design.

This contract role focuses on designing and building internal AI-powered software to automate and scale workflows across the organization. The AI Builder will own the full lifecycle of internal tools, from discovery and rapid prototyping to production deployment, and will modernize ad-hoc scripts into maintainable software. The role requires strong software engineering fundamentals, fluency with AI-native IDEs and LLMs, and a pragmatic builder's mindset.

This role designs and implements AI systems to support The Information's products, including Deep Research and data tools. The architect applies expertise in AI/ML, data engineering, and scalable architecture to enhance the company's technology stack.

Owns the design, development, and continuous improvement of AI agent systems that power modern research operations at Metaforms. Responsibilities include building the agent harness, driving long-context handling and cascading-error mitigation, defining evaluation rubrics, and building production monitoring and eval suites for high-stakes outputs. Requires experience building and operating agentic systems in production with multi-step pipelines and tool use.

This role leads AI adoption missions and programs, driving AI from experimentation to business transformation. The manager defines upskilling programs, builds agents and AI solutions (no-code, low-code, vibe coding), and manages teams, budgets, and client relationships. Responsibilities include scoping with L&D/HR, overseeing solution development, and structuring change management with KPIs and dashboards.

This role builds production-grade business applications and agents in partnership with an AI Product Manager. The engineer is responsible for frontend, backend, and APIs, integrating AI agents into business processes with human-in-the-loop controls, and ensuring monitoring and adoption post-production. The role requires tested code in Python or TypeScript and experience with coding agents.

This role builds production-grade business applications and agents in partnership with an AI Product Manager. The engineer is responsible for frontend, backend, and APIs, integrating AI agents into business processes with human-in-the-loop controls, and ensuring monitoring and adoption post-production. The role requires tested code in Python or TypeScript and experience with coding agents.