Solutions Architecture

Design and implement no-code/low-code solutions and AI automations for real estate clients, acting as a bridge between business problems and technical systems. Build internal tools and identify opportunities to automate recurring processes across the organization.

Design and implement cloud architecture solutions for clients, combining technical design with hands-on DevOps implementation, infrastructure automation, and customer consulting. Balances strategic architecture work with operational responsibility for deployment pipelines and system reliability.

Work with enterprise customers to architect and implement network visibility solutions, focusing on customization through GUI development, scripting, and API integrations rather than core product development.

Define and evolve data lakehouse architecture, set technical standards across teams, and mentor engineers on data engineering practices rather than building features yourself. Balance hands-on technical work with architectural leadership and cross-team enablement.

Work hands-on with military customers to integrate and validate a AR/VR head-mounted display system in real-world field conditions, bridging hardware, software, and customer needs rather than pure development.

Design and deploy production AI systems across internal departments, translating business needs into engineered solutions while acting as technical lead. Balance hands-on implementation with stakeholder management and adoption strategy to drive measurable business impact.

Design and build VFX production pipeline infrastructure using Python tools and ML integrations, working with artist teams to optimize workflows and automate technical tasks across compositing, paint, and editorial departments.

Work with enterprise customers to architect and deliver modernization projects that migrate legacy relational databases to MongoDB, leveraging GenAI tools and your technical expertise to guide customers through complex system redesigns rather than building products.

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.

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 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.