Senior AI Analytics Engineer
Job Description
What You’ll Do:
– 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.
What We’re Looking For:
– 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.
Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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