Teams at Collinson

Design, build, and operate production AI features using large language models, agentic systems, TypeScript, Node.js, and modern cloud technologies. Lead architecture, prompt engineering, model optimization, evaluation, monitoring, security, privacy, and cost decisions. Provide technical guidance and mentorship while collaborating with product, data, platform, architecture, and security teams. Develop reusable AI engineering patterns and backend services that are scalable, reliable, and measurable in customer-facing environments.

Leads enterprise data modeling, analytics automation, engineering enablement, and technical modernization. Builds reusable frameworks, scalable analytical architectures, self-service capabilities, and AI-powered engineering solutions using Snowflake, dbt, SQL, Python, and related technologies. Provides technical direction, mentors engineers, improves data product reliability and performance, and drives adoption of modern engineering standards across distributed analytics teams.

Lead the technical delivery for a squad of 5-7 engineers: design and write cloud-native TypeScript services, make architectural decisions, build always-on REST/GraphQL APIs, embed observability and CI/CD, mentor engineers, and deliver scalable, automated systems using AWS, Kubernetes, and modern DevOps practices.