AI & Analytics Solutions Architect

AI & Analytics Role

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.