AI Engineer

Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Engineering, Data Science, Information Systems, or related field.

8+ years of software engineering experience with at least 4+ years focused on AI/ML, GenAI, intelligent search, or AI-enabled analytics solutions.

Expert-level Python programming skills with strong software engineering discipline.

Strong SQL expertise including query optimization, analytical processing, and large-scale data analysis patterns.

Hands-on experience with Microsoft Azure cloud platform and AI services.

Experience designing and deploying enterprise-scale AI solutions with security, monitoring, and governance controls.

Strong understanding of the AI/ML lifecycle, model deployment, monitoring, evaluation, grounding, and governance.

Ability to collaborate with architects, product owners, business analysts, data teams, UX teams, security teams, and business stakeholders.

Preferred Qualifications

Experience with Generative AI, LLMs, RAG, Knowledge Graphs, relationship modeling, entity resolution, and Agentic AI frameworks.

Experience with Azure OpenAI, Azure AI Foundry / AI Studio, Azure Machine Learning, Cognitive Services, Semantic Kernel, LangGraph, LangChain, or equivalent frameworks.

Familiarity with graph analytics, semantic modeling, feature engineering, and AI-driven analytical platforms.

Financial Services domain experience, especially wealth management, advisor platforms, risk, compliance, asset management, banking, or capital markets.

Exposure to MLOps, CI/CD pipelines, AI governance frameworks, responsible AI controls, and production AI operations.

Experience with Snowflake, Databricks, Power BI, lakehouse/warehouse patterns, or enterprise analytics platforms.