Solution Engineer

Description Matrix is seeking a Solutions Engineer to help design, implement, and support a next‑generation, governed knowledge infrastructure for complex legacy systems. This role sits at the intersection of systems analysis, customer engineering, and applied AI, supporting large, regulated enterprises—particularly in banking, financial services, and insurance (BFSI). You will work with opaque, decades‑old codebases (e.g., mainframe and legacy languages) and help transform them into structured, queryable knowledge layers that both humans and AI systems can reason over reliably and safely. This role is well‑suited for individuals who thrive in ambiguity, enjoy complex problem‑solving, and are comfortable operating as a trusted technical advisor to senior enterprise stakeholders. Key Responsibilities Analyze and troubleshoot complex, legacy system environments and enterprise software implementations Support customer onboarding, implementation, and post‑deployment troubleshooting Diagnose issues methodically, identify root causes, and document findings clearly Collaborate with product, engineering, and customer teams to resolve issues and improve system reliability Translate complex technical concepts into clear, actionable guidance for non‑technical stakeholders Apply large language models (LLMs) and prompt‑engineering techniques to solve real‑world system and knowledge problems Support installations and environments by navigating logs, services, and runbooks as needed Required Qualifications Strong ability to operate in ambiguous, ill‑defined problem spaces Proven skill in breaking complex systems into manageable components Root‑cause focused mindset rather than symptom‑based troubleshooting Comfortable learning as you go and proactively finding answers Problem‑Solving & Analytical Skills Customer & Systems Experience 3–5 years of experience in customer‑facing technical roles (e.g., Solutions Engineering, Implementation Consulting, L2/L3 Support, Systems Integration