Role Summary :

We are seeking an AI & Analytics Solutions Architect to bridge the gap between traditional Business Intelligence and the frontier of Applied AI.

This is a high-impact, hybrid role designed for a professional who excels at turning complex data into actionable insights through Power BI and/or MicroStrategy, while simultaneously architecting the next generation of intelligent workflows using LLMs, AI Agents, and Python-based automation.

You will not just report on data; you will build intelligent systems that interpret and act upon it.

Key Responsibilities :

Strategic Analytics & Intelligent Automation :

- Architect BI Ecosystems: Design, develop, and scale sophisticated Power BI / MicroStrategy dashboards and robust data models that drive executive decision-making.

- Advanced Enterprise Reporting: Deliver high-precision, scalable paginated reports using Report Builder / MicroStrategy Report to meet complex organizational requirements.

- Workflow Orchestration: Engineer seamless business processes by leveraging Microsoft Power Automate to eliminate manual friction and optimize operational efficiency.

- GenAI Integration: Design and implement advanced prompt frameworks for Microsoft Copilot to enhance organizational productivity and user experience.

AI Engineering & Agentic Workflows (50%) :

- AI Agent Development: Design, build, and deploy autonomous AI agents utilizing approved Large Language Model (LLM) technologies to solve complex business logic.

- Python-Driven Innovation: Develop custom AI and automation solutions using Python to extend the capabilities of standard enterprise tools.

- Model Integration & Optimization: Integrate LLMs via APIs and perform rigorous prompt tuning and optimization to ensure enterprise-grade accuracy and reliability.

- System Orchestration: Build and maintain sophisticated AI workflows involving orchestration frameworks, API integrations, and enterprise-scale applications.

- R&D Leadership: Continuously evaluate the emerging AI landscape to identify and pilot innovative use cases that provide a competitive advantage.

Technical Profile :

Required Expertise :

- BI Mastery: Expert-level proficiency in Power BI, Report Builder, Power Automate and MicroStrategy.

- AI Engineering: Proven hands-on experience in AI Agent development and working with LLM APIs.

- Programming: Strong Python development skills with an emphasis on automation and AI integration.

- Prompt Engineering: Advanced capability in prompt design, optimization, and framework creation.

- Systems Integration: Deep understanding of REST APIs and connecting disparate enterprise applications.

- Problem Solving: Exceptional analytical skills with a track record of solving complex architectural challenges.

Preferred Qualifications :

- Domain Expertise: Experience within Financial Services, Risk Management, or highly regulated analytics environments.

- Advanced Frameworks: Familiarity with Agentic frameworks and SQL.

- Experience: 7 - 10 years of progressive experience in data analytics, automation, or AI engineering