Senior AI & Analytics Engineer

• Build proactive analytics and AI solutions that surface actionable business insights, anticipate business needs, and enable smarter decision-making.
• Design and develop AI-powered analytics tools, including conversational interfaces that allow business users to query data using natural language.
• Build semantic data models and reusable analytics products that optimize enterprise data for AI applications and large language model reasoning.
• Design, develop, and deploy LLM-powered applications, AI agents, and agentic workflows using modern AI frameworks, Retrieval-Augmented Generation (RAG), and Model Context Protocol (MCP).
• Partner cross-functionally with Product, Engineering, and business stakeholders to identify opportunities where AI agents and intelligent automation can solve real business problems.
• Build scalable enterprise analytics solutions by integrating cloud data platforms, semantic models, and modern AI technologies.
• Develop robust data pipelines, APIs, and backend services using Python and SQL to support production-ready AI and analytics solutions.
• Identify, evaluate, and implement AI, machine learning, and advanced analytics use cases that deliver measurable business value.
• Drive intelligent automation initiatives that improve operational efficiency, reduce manual effort, and streamline business processes.
• Continuously evaluate, test, and optimize AI models, prompts, and intelligent solutions to improve reliability, accuracy, and business outcomes.
• Serve as an Analytics AI Subject Matter Expert (SME), mentoring team members on AI application development, prompt engineering, agent development, AI evaluation, and Responsible AI practices.
• Evaluate emerging AI technologies and recommend opportunities to expand AI capabilities and accelerate innovation across the organization.

• Overall 8+ years of experience across Analytics Engineering, Business Intelligence, Data Engineering, AI, or related fields, including at least 5 years of relevant analytics engineering experience.
• Minimum 3 years' experience in designing, developing, and implementing end-to-end AI solutions for analytics functions.
• Strong expertise in business analytics, KPI design, analytical data modelling, and metric governance.
• Advanced programming skills in Python and strong SQL expertise.
• Experience designing scalable data architectures and analytics platforms.
• Hands-on experience building production AI applications using Large Language Models (LLMs).
• Experience with one or more agentic AI frameworks (e.g., LangGraph, Semantic Kernel, CrewAI, AutoGen, OpenAI Agents SDK, or similar).
• Solid understanding of agent orchestration, Retrieval-Augmented Generation (RAG), skills, tool calling, prompt engineering, memory, and AI evaluation.
• Experience integrating AI solutions with enterprise APIs, databases, and cloud platforms (Azure preferred).
• Excellent communication skills with the ability to influence stakeholders and mentor technical teams.

• Experience building enterprise analytics copilots or conversational analytics platforms.
• Experience with Microsoft Fabric, Azure AI Foundry, Azure OpenAI, Power BI semantic models, Databricks, or Snowflake.
• Knowledge of vector databases, semantic search, and modern AI infrastructure.
• Experience with Docker, Kubernetes, CI/CD, observability, and Responsible AI practices.
• Familiarity with Model Context Protocol (MCP) or similar enterprise AI integration patterns.

Our Commitment to an Inclusive Workplace

We welcome people from all backgrounds who seek the opportunity to help build a future where professional services are readily available to all.

If you have curiosity, passion, and a collaborative spirit, come work with us.

Pearl is committed to an inclusive workplace.

Pearl is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected status.

Artificial intelligence (AI) technology may be used during the hiring process to record, transcribe, analyze, and rank interview responses.

By submitting your application and participating in the interview process, you acknowledge and consent to the use of AI technology in the hiring process.

For more information see our AI Disclosure and Consent Policy. #LI-Remote