Description

The Opportunity

Join a global leader in financial services to build the future of intelligent banking. We are seeking a Senior AI Engineer to design, develop, and deploy sophisticated conversational AI solutions and autonomous agents. This isn’t just about prompts; you will be building production-grade AI infrastructure using Azure AI Studio and Databricks.

The Technical Stack

AI Architecture: Azure OpenAI, Cognitive Services, Azure Bot Service, and Databricks Genie.

Agentic Workflows: Designing and managing AI Agents for automation and advanced conversational experiences.

Python Mastery: Backend integration using FastAPI, Django, or Flask; building secure REST endpoints and async workers.

Data & Models: Hands-on model development in Databricks, leveraging MCP for secure tool/API integration.

MLOps: Designing secure pipelines, including model registry security, runtime monitoring, and deployment.

Key Responsibilities

Develop & Deploy: Utilize VS Code, Databricks, and Azure AI Studio to build and monitor scalable AI models.

Agent Development: Build and manage autonomous AI agents for enterprise-level automation.

Full-Stack Integration: Integrate AI services into web applications via SDK-based clients and task queues.

Security & Compliance: Adhere to strict data privacy standards, ensuring model registry and runtime security.

Optimization: Monitor and fine-tune NLP/LLM performance to ensure reliability and accuracy in a financial context.

What You Bring

Education: BS or MS in Computer Science or a related Engineering field.

Expertise: Deep understanding of LLMs, NLP, and machine learning algorithms.

Cloud Fluency: Proven experience with Azure AI Services and the Databricks ecosystem.

Secure Integration: Familiarity with MCP (Model Context Protocol) for standardized API integration.

Certifications (Preferred): Microsoft Certified: Azure AI Engineer Associate or Databricks Certified: Generative AI Engineer

Key Skills

Education

Any Graduate