Advanced AI Technical Analyst

• We are seeking a highly seasoned Advanced Technical Analyst with 10–12 years of deep data
• architecture experience to serve as the critical nexus within our technology organization. Operating
• embedded directly within the AI Engineering team, this strategic role acts as the primary technical
• interface translating raw data assets, infrastructure pipelines, and governance structures into deployable
• AI products.
• Key Roles & Responsibilities: AI Team Cross-Functional Interfacing
• Serve as the technical translator converting AI/ML model data specifications into concrete roadmaps
• Collaborate closely with Data Scientists, AI Product Engineers, and ML Engineers to align downstream
• feature stores, unstructured data sets, and vector embeddings with business logic.
• Partner with non-technical business leaders and product managers to clarify technical limitations, project velocity, and algorithmic constraints in accessible business language.
• Establish technical requirements for structuring high-quality enterprise data feeds tailored specifically for Large Language Model (LLM) fine-tuning, Retrieval-Augmented Generation (RAG) contexts, and
• multi-agent AI framework orchestrations.
• Oversee the system design and metadata lineage of custom vector databases, operational data lakes, and streaming systems feeding live AI tools
• Formulate high-level query optimization, indexing parameters, and aggregation strategies across massively parallel stacks for sub-second AI API responses.
• Author granular technical documentation, system specifications, and integration playbooks that serve as the definitive blueprint for cross-functional sprint goals
• Develops innovative and creative output based on interpretation and analysis.
• Perform deep technical analysis on existing legacy stack to engineer migration tracks toward modern, real-time AI operating layers.
• Participates and may lead critical projects, customer engagements or business processes.
• Provides design and documentation at an application or function capability level.
• Participates in establishing and maintaining application standards and processes.
• Effectively communicates application and technical direction to the business customer's at DN.
• Advises on issues of systems integration, compatibility, scalability and multiple platforms.

Required Qualifications

• Diploma or equivalent work experience required.
• Minimum of 10-12 years of relevant experience or equivalent combination of education and experience in technical analytical roles, data engineering frameworks, or systems analysis.
• AI Technical Concepts: Concrete conceptual and practical understanding of MLOps lifecycle tools.
• Agile Delivery Leadership: Documented success guiding cross-functional teams using Scrum/Kanban
• methodologies, acting as the ultimate system-level Subject Matter Expert (SME)
• Performance tuning,
• Good business English skills (Written and spoken).