Solvex Solutions
Website:
solvex-solutions.com
Job details:
Role: Senior Data Agent Engineer
Work type: Remote
Employment Type: Contract Role
Overview:
We are seeking a Senior Data Agent Engineer to support our Microsoft Fabric programme, focused on building, training, and operationalising LLM-powered data agents. The role will work closely with Fabric data platforms, Large Language Models (LLMs), and Node.js-based services to deliver intelligent, secure, and enterprise-ready data agents.
This is a hands-on delivery role responsible for translating business questions into AI-driven, databacked insights using Microsoft Fabric.
Key Responsibilities:
- Design, build, and maintain data agents that interact with Microsoft Fabric Lakehouse, Warehouse, and semantic models
- Develop and optimise LLM-based agents for natural language analytics and data exploration
- Train and fine-tune data agents using domain knowledge, business KPIs, and curated datasets
- Implement RAG (Retrieval-Augmented Generation) patterns using enterprise Fabric data
- Build and manage Node.js services to orchestrate agent workflows and LLM integrations
- Ensure agents produce accurate, grounded, and explainable responses
- Apply enterprise-grade secuarity, governance, and access controls within Fabric
- Collaborate with data engineers, architects, and analytics teams to support end-to-end delivery
- Document agent logic, usage patterns, and technical designs
Required Skills & Experience:
- Hands-on experience with Microsoft Fabric (Lakehouse, Warehouse, Delta tables)
- Strong understanding of LLMs, prompt engineering, and data agent concepts
- Experience designing and training data or conversational agents
- Node.js experience for building APIs and orchestration layers
- Strong SQL skills and ability to work with curated analytics datasets
- Understanding of enterprise data governance and security principles
Nice to Have:
- Experience with Azure OpenAI or similar LLM platforms
- Familiarity with Power BI semantic models and DAX (read/understand)
- Exposure to conversational analytics or Copilot-style solutions
- Experience working in large enterprise data programmes
What Success Looks Like:
- Data agents reliably answer business questions using Fabric data
- Minimal hallucination with strong grounding to enterprise datasets
- Secure, scalable, and reusable agent designs
- Clear documentation and smooth integration with analytics platforms
Ideal Candidate Profile:
- Strong engineering mindset with AI and data focus
- Comfortable working in fast-evolving AI environments
- Able to bridge business requirements and technical implementation
- Detail-oriented, delivery-focused, and collaborative
Click on Apply to know more.