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Data and AI Solutions Engineer Job at Reignova Technologies Company Limited
Reignova Technologies Company Limited
Job Description
As a Data & AI Solutions Engineer at Reignova, you are the professional who turns raw enterprise data into intelligent, decision-making systems that clients can act on immediately. You engineer the data pipelines that power AI and then build the AI solutions that extract value from that data.
From architecting real-time data platforms for organizations, to deploying Generative AI applications that automate workflows, to building RAG systems that transform enterprise knowledge into competitive advantage, your work produces client solutions that are visible, measurable, and transformative.
Duties, Roles and Responsibilities
- Design, build, and maintain scalable data pipelines and ETL/ELT workflows that ingest, transform, and deliver high-quality structured and unstructured data from diverse enterprise sources including databases, APIs, IoT streams, and third-party platforms
- Architect enterprise data platforms using modern lakehouse and warehouse solutions (Azure Synapse Analytics, Databricks, Google BigQuery, AWS Redshift) to support both operational analytics and AI model training at scale
- Implement real-time and batch data processing frameworks using Apache Spark, Kafka, Azure Data Factory, and equivalent tools, ensuring data is fresh, reliable, and available for both business intelligence and AI consumption
- Design and enforce data governance, data quality, and master data management frameworks that ensure data assets meet the accuracy, completeness, and compliance requirements of regulated enterprise clients in banking, telecom, and government
- Build and manage data catalogues, metadata management systems, and data lineage tracking to provide full visibility into how data flows from source to insight across client environments
- Design and build production-grade Generative AI applications using Azure OpenAI Service, OpenAI API, and Google Vertex AI that leverage structured and unstructured enterprise data to deliver intelligent, data-driven decision support for banking, telecom, and government clients
- Architect Retrieval-Augmented Generation (RAG) systems that connect vector databases (Pinecone, Chroma, Azure AI Search) to curated enterprise data pipelines, enabling AI systems to provide accurate, context-aware responses grounded in real organizational data
- Develop Python-based AI automation pipelines for data ingestion, preprocessing, LLM chaining, output parsing, and post-processing, ensuring end-to-end workflows are production-ready, maintainable, and observable across enterprise cloud infrastructure
- Design and deploy intelligent automation workflows using n8n, Make (Integromat), and Azure Prompt Flow that integrate LLMs with enterprise data sources, CRMs, ERPs, and communication platforms to automate complex, data-intensive business processes
- Build and deploy machine learning models for predictive analytics use cases including fraud detection, customer churn prediction, demand forecasting, and process optimization using data engineered specifically for model consumption
- Engineer advanced prompt engineering frameworks, evaluation pipelines, and responsible AI guardrails for domain-specific LLM applications, ensuring AI outputs are accurate, auditable, and aligned with client compliance requirements
- Stay at the leading edge of both data engineering and AI/LLM research, translating emerging capabilities (GPT-4o, Gemini, Llama, new vector DB architectures) into practical, data-grounded client solutions
- Collaborate with solution architects, business analysts, and client stakeholders to define data and AI use cases, scope data readiness requirements, and deliver measurable ROI from data and AI investments
- Translate complex data architectures and AI capabilities into clear business value narratives for C-suite and technical stakeholders within enterprise and government client organizations
- Support pre-sales engagements by contributing data and AI expertise to solution design, technical proposals, and proof-of-concept demonstrations for prospective clients
Qualifications, Education and Competencies
See all details of the qualifications, competencies and education for this role under the "How to Apply" section below.
Apply here: https://mabumbe.com/jobs/data-and-ai-solutions-engineer-at-reignova-technologies-company-limited-may-2026/
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