Senior Systems Analyst (AI/ML)

Role Summary We are seeking a Senior Systems Analyst with strong enterprise application experience to support AI-driven modernization initiatives. The role focuses on analyzing legacy systems, enabling AI-assisted workflows, building structured knowledge models, and supporting engineering teams in transforming applications using modern AI-enabled practices. The ideal candidate combines strong analytical skills with exposure to AI tools and modern engineering approaches. Key Responsibilities Analyze legacy applications, architectures, and technical dependencies to support modernization initiatives. Perform reverse engineering to understand business logic, workflows, and system behaviour. Create and maintain structured technical documentation using AI-assisted tools. Model relationships between systems, APIs, data flows, and components to enable knowledge-driven engineering. Support development of knowledge graphs and structured repositories to improve AI accuracy and traceability. Collaborate with engineering teams using AI copilots and LLM tools to accelerate analysis and workflow design. Participate in multi-agent AI workflows and assist in defining agent roles and interactions. Identify potential AI hallucinations or inconsistencies and support mitigation through validation and structured inputs. Apply human-in-the-loop review practices to ensure quality and reliability. Conduct functional analysis and support parity validation between legacy and modernized systems. Work closely with development, QA, and DevOps teams to support testing and deployment readiness. Required Qualifications 8–12+ years experience in systems analysis, enterprise applications, or solution delivery. Experience working with legacy systems or transformation initiatives. Strong analytical, documentation, and stakeholder collaboration skills. Technical Skills Systems Analysis Reverse Engineering Enterprise Documentation Knowledge Graphs / Neo4j KAG / RAG concepts LLM tools / AI Copilots Multi-agent workflows API integration Microservices understanding Cloud platforms (AWS/Azure/GCP) DevOps awareness AI governance and validation Programming experience (Java, Python, or similar). Preferred Skills Telecom or large-scale enterprise environments. Workflow orchestration tools (Temporal, ServiceNow). Exposure to AI-driven engineering workflows.