Solutions Architecture

Work as a technical leader on AI projects for enterprise clients, owning solutions from strategy through production deployment. Bridge the gap between business strategy and technical implementation while working with decision-makers and shaping architectural decisions.

Design and implement end-to-end GenAI solutions for enterprise clients, from prototyping through production deployment. Balance technical architecture decisions with client consultation, working across the full AI solution lifecycle rather than pure backend development.

Design and oversee the technical architecture of index development platforms and APIs that serve internal teams and external clients, focusing on system design, scalability patterns, and developer experience rather than hands-on coding.

This role involves designing end-to-end satellite missions, assessing customer requirements, and performing system-level engineering across spacecraft development phases rather than writing code. You'll coordinate design reviews, compute system budgets, and guide software development rather than implement it.

Design and maintain AI infrastructure, orchestration layers, and frameworks that enable other teams to deploy AI safely and at scale, while collaborating with product engineers to integrate generative AI features into the platform.

This role focuses on integrating and optimizing generative AI technologies into existing systems, with senior levels involving architectural decisions, technical leadership, and strategic technology evaluation rather than day-to-day coding.

Define and guide the architectural direction of an AI-Native digital evidence platform, making high-level technical decisions, evaluating AI tooling, and mentoring teams on best practices rather than implementing code directly.