Rwazi, Inc. - Decision Systems Architect
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Requirements
• We are looking for individuals who demonstrate: • Strong systems thinking and the ability to formalize complex reasoning • Experience designing frameworks, methodologies, or structured decision logic • The ability to translate ambiguous problems into clear, explicit structures • Comfort working in highly autonomous, fast-moving environments • Intellectual curiosity and a willingness to challenge established methods • Candidates may come from applied research or technically rigorous domains where deep reasoning, formal abstraction, and the hands-on design of complex decision systems were core to the work. • We value people who: • Take initiative and operate with high ownership • Produce high output with limited resources • Prefer autonomy and accountability • Are inventive and comfortable rejecting outdated approaches • Are deeply focused and driven by hard problems • This role is best suited for individuals who enjoy building foundational systems and pushing the boundaries of what software can reason about. • HOW CANDIDATES ARE EVALUATED • Candidates are evaluated based on: • Their ability to structure and reason through ambiguous problems • The clarity, generalizability, and technical rigor of the frameworks they design • How effectively their thinking can be translated into system-level logic • The quality and rigor of their judgment under real-world constraints • Their ability to independently design, execute, and iterate on decision frameworks • We prioritize demonstrated capability and depth of thinking over resumes alone.
Responsibilities
• The Decision Systems Architect is responsible for: • Designing and refining decision frameworks that guide how Sena interprets customer intent • Defining signal mapping logic that structures how business questions are decomposed into actionable signals • Establishing configuration schemas that specify how data must be captured to support decision-grade outputs • Creating evaluation criteria and quality standards used to assess system outputs • Identifying recurring patterns, edge cases, and failure modes, and formalizing them into reusable system logic • Producing structured artifacts that directly inform Product and AI development workflows • Collaborating closely with Product, AI, and Engineering teams to ensure decision logic is encoded effectively into Sena • All work in this role is expected to be system-oriented, reusable, and extensible. • ROLE IMPACT AND GROWTH • This role contributes to Sena’s evolution as new business problems, customer objectives, and data environments emerge. • As the system’s capabilities expand, the focus of this role naturally shifts toward: • New classes of customer questions • New signal types and constraints • More complex decision structures and tradeoffs • Higher-order reasoning patterns that have not yet been formalized • This role remains at the frontier of decision design as the product evolves.
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