AI Engineer

We are building an AI Pod focused on leveraging Generative AI to automate workflows and reduce operational toil across multiple technology teams (BA, PM, QA, Dev). This team will design and deploy intelligent agents that integrate with enterprise tools such as Confluence, Jira, SharePoint, and BI platforms, helping streamline reporting, documentation, and decision-making processes.

Key Responsibilities   Develop and deploy AI agents in Azure to support automation and digital transformation initiatives.
Integrate AI solutions with enterprise platforms (Confluence, Jira, SharePoint, BI tools).
Collaborate with cross-functional teams (Business Analysts, Project Managers, Developers, QA) to identify pain points and design AI-driven solutions.
Implement best practices for GenAI development, including prompt engineering, model fine-tuning, and secure deployment.
Contribute to the creation of reusable AI components for broader organizational use cases.
Required Skills & Experience   Intermediate Developer experience with strong programming skills (Python, Java, or similar).
Familiarity with Azure AI services, agent deployment, and cloud-based automation.
Experience integrating APIs and building connectors for enterprise tools.
Understanding of Generative AI concepts, LLMs, and conversational agents.
Strong problem-solving skills and ability to work in an agile environment.

Preferred Qualifications   Exposure to AI/ML frameworks (OpenAI, Hugging Face, Lang Chain).
Knowledge of data security and compliance in AI deployments.

Experience with BI tools and enterprise collaboration platforms.

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