Overview
This role is part of our Data & AI Guild, working on a data modernization engagement for a US financial services client. The team is building the data infrastructure that powers real-time AI-driven risk models — moving from legacy batch processing to event-driven architecture.
You won’t be handed a backlog. You’ll be part of the architecture conversation from the beginning, working directly alongside the client’s engineering leadership and owning delivery outcomes end-to-end.
Your Role and Responsibilities
What You’ll Do
- Own the design and implementation of [specific system/component] from architecture through production deployment
- Lead technical decision-making for [specific problem area] in partnership with the client engineering team
- Govern how AI/ML outputs are validated and integrated into [specific workflow or system]
- Define and maintain [data models / API contracts / infrastructure standards] that the broader team builds on
- Identify delivery risks early and escalate with a point of view, not just an observation
REQUIREMENTS
What This Role Requires
- [X]+ years working on [specific technical domain]
- Proven experience with [specific stack/tools — e.g. Apache Kafka, dbt, Snowflake]
- Deep knowledge of [architectural pattern — e.g. event-driven architecture, microservices, data mesh]
- Experience delivering in [context — e.g. regulated industries, nearshore teams, AI-integrated systems]
- Strong written and verbal communication in English (client-facing role)
Working at Motivus
What Working Here Looks Like
- Guild community: You’re part of the [Data & AI / Backend / Cloud] Guild — a community of practitioners in your domain. Structured learning, peer review, and certifications happen here, not in isolation.
- Outcome accountability: Your work connects directly to a client result. We don’t measure activity — we measure delivery.
- AI in your workflow: Through AI Champions and Guild initiatives, you’ll actively use and shape how AI tools are applied to engineering work — not just hear about it in a townhall.
- Defined career path: Structured progression from individual contributor to technical lead to Guild leadership, with certifications and milestones that are visible, not arbitrary.
