AI Engineer

Key Responsibilities

• AI Solution Development:

  Design, build, and deploy AI-driven applications leveraging

  LLMs, Copilot frameworks, and Azure OpenAI

  .

• Model Engineering:

  Fine-tune models, prompts, and contextual grounding for domain-specific automation and decision intelligence use cases.

• Integration:

  Develop and integrate AI workflows with enterprise systems such as

  Microsoft Sentinel, Defender, Entra ID, and Azure AI Services

  .

• Automation:

  Create intelligent connectors, scripts, and plugins using

  Python, PowerShell, or Logic Apps

  to enhance system efficiency.

• Data Engineering:

  Prepare, transform, and manage structured and unstructured data for AI model consumption and continuous improvement.

• Testing & Optimization:

  Conduct performance, scalability, and accuracy testing of AI models and workflows.

• Collaboration:

  Work cross-functionally with

  Data Science, Security, and Platform teams

  to identify automation and AI adoption opportunities.

• Documentation:

  Develop

  AI playbooks, reusable frameworks, and best practices

  to streamline deployment and governance.

Required Qualifications

• Bachelors or Master’s degree in

  Computer Science, Data Science, or Artificial Intelligence

  (or related field).

• 5+ years

  of experience in

  AI/ML engineering, automation, or data-driven software development

  .
• Proven experience with

  Azure AI, OpenAI, or Copilot-based solutions

  .
• Strong programming skills in

  Python

  , with familiarity in

  PowerShell, C#, or REST API integration

  .
• Solid understanding of

  prompt engineering

  ,

  LLM fine-tuning

  , and

  contextual data grounding

  .
• Hands-on experience integrating AI models into production systems on

  Azure

  or other cloud platforms.